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Remote Data Jobs in the United States

Explore remote Data jobs at US companies hiring nationwide. Apply to roles like Data Analyst, Data Engineer, Data Scientist, Analytics Engineer. The jobs are sourced directly from company career pages and updated every 48 hours.

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Superhuman company logo
Data Engineer, Foundations
Oct 1
Superhuman
Oct 1
Multiple States
Hybrid
157k-245k / Yr
<p><em>Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.</em></p><p><em>Preferred locations for team members for our Data Platform roles are our San Francisco or Seattle hubs.</em></p><h2>About Superhuman</h2><p>Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company's products include Grammarly's writing assistance, Docs’ collaborative workspace, Mail's inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at <a href='http://superhuman.com'>superhuman.com</a> and about our values <a href='https://superhuman.com/company/values'>here</a>.</p><h2>The Opportunity</h2><p>To achieve our ambitious goals, we’re looking for a <strong>Data Engineer</strong> to join our <strong>Data Foundations </strong>team and help us build a world-class data platform. Superhuman’s success depends on its ability to efficiently ingest and process over 70 billion daily events to improve our products. This role presents a unique opportunity to experience all aspects of building complex data pipelines and systems, including contributing to the strategy, defining the architecture, and developing and shipping to production.</p><p>Superhuman is a compound startup: we build many products as one integrated suite rather than standalone tools. That model creates an unusually rich data opportunity, with signals spanning our full product suite across both consumers and enterprises — and the foundational data you build connects those surfaces.</p><p>The Data Foundations team is part of the Data Platform org, powering data needs across Superhuman rather than a single product surface. It owns the foundational datasets and data models that define the fundamental entities of Superhuman's business, serving as building blocks for the company's other data teams and data scientists. Behind the scenes, the team develops and runs large-scale ETL pipelines that process petabytes of data and billions of events daily.</p><p>This is a high-impact role at the intersection of data engineering, data-intensive applications, and data modeling, where the systems you build directly shape how efficiently our other Data teams can build their datasets.</p><p><strong>What you’ll do</strong></p><p>As a Data Engineer on the Data Foundations team, you will design and implement robust, scalable, and reliable data pipelines and systems that handle large volumes of data, empowering both product features and data-driven decision-making across the company. Your work will span areas such as ETL data pipelines, data lakes, performance-oriented data processing, and ETL framework development.</p><ul><li><p>Architect, build, and own large-scale data pipelines and data lakes (Spark/Databricks) that ingest and process billions of daily events into reliable, decision-grade datasets.</p></li><li><p>Design and implement solutions that keep data available, secure, and scalable across the platform, enabling both real-time and batch processing.</p></li><li><p>Own data quality, freshness, and reliability for the foundational datasets other teams depend on, with automated checks, monitoring, and alerting.</p></li><li><p>Build the ETL frameworks and tooling that let other Data teams and data scientists self-serve and model core business entities into clean, well-documented, reusable datasets.</p></li><li><p>Partner with product teams, back-end engineers, ML engineers, and Data Science to turn business questions into high-impact data products behind business-critical features, research, and experimentation.</p></li><li><p>Collaborate with leadership to shape the team’s charter and technical roadmap.</p></li></ul><h2>Qualifications</h2><ul><li><p>You have 3+ years of experience running live production environments, including high-load or data-intensive workflows, with a focus on uptime and reliability.</p></li><li><p>You’re proficient in SQL and Python, with deep hands-on experience in Spark and a modern lakehouse or cloud data warehouse (Databricks, Delta Lake, dbt, Snowflake, or similar).</p></li><li><p>You have strong knowledge of ETL/ELT design patterns, orchestration tools (e.g., Airflow, dbt, or Dagster), data quality frameworks, and CI/CD for data with Git-based deployments.</p></li><li><p>You have data modeling and data warehouse design skills, along with a rigorous approach to data quality and observability.</p></li><li><p>You have hands-on experience with modern data storage technologies (for example, Delta Lake, Snowflake, BigQuery, or Redshift).</p></li><li><p>You communicate clearly and collaborate well across diverse teams and stakeholders, turning business needs into robust data solutions and trustworthy metrics.</p></li><li><p>You bring a strong ownership mindset, taking end-to-end responsibility for the systems you build, from strategy and architecture through production and ongoing reliability.</p></li><li><p>You have a strong acumen for scalable, highly complex data processing, think holistically about problems, and raise the bar on your team’s craft.</p></li><li><p>You’re a self-starting problem-solver who thinks from first principles, manages priorities across multiple projects, and thrives in a fast-paced, results-driven environment.</p></li></ul><h3>Nice to have</h3><ul><li><p>You have experience operating large-scale distributed systems, as well as in data engineering and data modeling.</p></li><li><p>Experience with high-throughput, real-time streaming systems (for example, Kafka, Flink, or Spark Structured Streaming) at the scale of billions of events per day.</p></li><li><p>Comfort with data lake and lakehouse technologies (for example, Delta Lake, Iceberg, or Hudi) and managing cloud infrastructure as code (for example, Terraform).</p></li><li><p>A track record of building self-serve data products, tools, or frameworks that other teams rely on.</p></li><li><p>Experience partnering with analytics, data science, or machine learning teams as a strategic data partner to productionize data and models.</p></li></ul><h2>Compensation and Benefits</h2><p>Superhuman offers all team members competitive pay along with a benefits package encompassing the following and more:</p><ul><li><p>Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)</p></li><li><p>Disability and life insurance options</p></li><li><p>401(k) matching</p></li><li><p>Paid parental leave</p></li><li><p>20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time</p></li><li><p>Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)</p></li><li><p>Annual professional development budget and opportunities</p></li></ul><p>Superhuman takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.</p><p>Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future.</p><h3>US Zone 1</h3><p>175,000 to 245,000</p><h3>US Zone 2</h3><p>157,000 to 220,500</p><h3></h3><h2>We encourage you to apply</h2><p>At Superhuman, we value our differences, and we encourage all to apply—especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Superhuman is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).</p>
CA, WA
Data
Teamworks company logo
Data Scientist II (Soccer)
Sep 30
Teamworks
Sep 30
All U.S.
Fully Remote
83k-145k / Yr
<p>We're hiring a Data Scientist II on our Soccer team to develop the statistical and machine learning models our partner clubs use for player recruitment. I'm Jacob Mortensen, Senior Manager, Data Science at Teamworks. Our team primarily focuses on building models using both player tracking data and event data to identify undervalued players and characterize the skills that make them effective. The work supports high-stakes recruitment decisions for professional clubs across global football.</p><p>The team is managing growing demand from partner clubs alongside model maintenance and new development. This hire will take ownership across the model lifecycle, from design and validation through deployment and improvement. That added capacity will help us move important initiatives forward while keeping our existing models accurate and reliable.</p><h2>The Role</h2><ul><li><p>Develop statistical and machine learning models that help professional soccer clubs identify undervalued players and strong recruitment targets</p></li><li><p>Use player tracking data to build spatio-temporal models that quantify player impact and skill</p></li><li><p>Build metrics and analyses that soccer teams rely on to make decisions, and support client-facing work by building tools to support model interpretation and understanding</p></li><li><p>Validate models and outputs — your own and others’ — with enough rigor that the team can trust what ships</p></li><li><p>Write clear reports that communicate technical work to clients</p></li><li><p>Partner with our engineering team to deploy models on cloud infrastructure and turn strong analytical work into reliable production systems</p></li><li><p>Review code from other data scientists, share constructive feedback, and contribute ideas that advance the team's work</p></li></ul><h2>What I'm Looking For</h2><h3>What You Must Bring</h3><ul><li><p>3+ years of professional or research experience writing code in R or Python for data science, statistics, or machine learning work</p></li><li><p>Comfort with SQL for building and querying structured data</p></li><li><p>Strong data science fundamentals: you understand how models work, what they need from the data, and how to set data up to support them</p></li><li><p>Experience working with sports tracking data, including understanding the kinds of models typically built and the data challenges that come with them</p></li><li><p>Strong communication skills — you'll be explaining modeling decisions directly to partner clubs, not just internal teammates</p></li></ul><h3>Even Better If</h3><ul><li><p>You have direct experience with soccer data or soccer analytics (inside a team, public work, or academically)</p></li><li><p>You have a demonstrated track record of tackling hard problems through published research, blog posts, conference talks, or public projects</p></li><li><p>Experience using a cloud compute provider (e.g. AWS or Google Cloud) to train and deploy models</p></li><li><p>Comfort using AI coding tools, paired with the judgment to recognize when their output needs to be questioned or corrected</p></li></ul><h2>Why This Role</h2><p>Soccer analytics is moving quickly, and this team is helping shape how advanced modeling is used in recruitment. You'll have meaningful ownership, room to develop new approaches, and the opportunity to see your work used by professional clubs. You'll also help define how the team builds, maintains, and scales its model portfolio as demand grows.</p><p><em>This role is not eligible for sponsorship at this time.</em></p><p><br><em>To all recruitment agencies: Teamworks does not accept agency resumes. Please do not forward resumes to our jobs alias, Teamworks employees or any other organization location. Teamworks is not responsible for any fees related to unsolicited resumes.</em></p><h2>About Teamworks</h2><p>We're the Operating System for Sports™, powering 7,000+ organizations worldwide, from collegiate programs to every major pro league. Founded in 2006, we've evolved from a messaging tool for college football into the leading sports tech platform, with 600+ global teammates building the future of sports tech. Our solutions span Personnel, Coaching, Performance, Operations, and Intelligence - helping teams recruit smarter, train better, stay compliant, and win.<br><br>Teamworks is an equal opportunity employer - if you live our core values every day and are honest, hardworking, humble, committed, innovative, and an all-around exceptional person, you'll thrive at Teamworks. We are committed to building a diverse and inclusive workforce and take affirmative action to not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics. This policy applies to all employment practices within our organization, including but not limited to recruiting, hiring, promotion, termination, compensation, benefits, and training. Teamworks is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email <a href='mailto:[email protected]'><u>[email protected]</u></a>.</p>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
Cyberhaven company logo
Senior Data Protection Analyst
Sep 25
Cyberhaven
Sep 25
All U.S.
Fully Remote
<h2>About the role</h2><p><br>This is an ideal opportunity for a highly motivated individual to get in on the ground floor as we build out our Professional Services and Managed Services functions at Cyberhaven. The Senior Data Protection Analyst holds a key position in providing continuous value for our customers and is responsible for advancing the mission of identifying potential insider threats and investigating endpoint forensic incidents. You will be responsible for performing technical analysis of data security incidents, finding and exposing risk in a customers environment as well as handling documentation and project management aspects of incident response. You will also perform analysis of events and incidents.</p><p><br><strong>What you’ll do</strong></p><ul><li><p>Provide insight into DLP analytics and related issues.</p></li><li><p>Analyze Cyberhaven’s Data Detection and Response (DDR) platform event data to improve policies and incidents/alerts and bring focus to areas where data loss risk may exist.</p></li><li><p>Refine datasets and policies and manage them as customers’ data risk strategy matures and business needs evolve.</p></li><li><p>Prepare and present summaries and reports to internal team members.</p></li><li><p>Eliminate noise and false-positive information from analytic results to enhance detection accuracy.</p></li><li><p>Conduct forensic analysis on people, groups, and non sanctioned egress destinations as requested.</p></li></ul><h2>Who you are</h2><ul><li><p>5+ years with data protection or adjacent security tools (EDR, SIEM, SOAR) and 2+ years in Insider Threat/InfoSec.</p></li><li><p>Strong grasp of endpoint protection best practices and incident mitigation workflows.</p></li><li><p>Experience with DLP, Insider Threat, CASB and controls for handling sensitive data.</p></li><li><p>Comfortable across macOS, Linux, Windows and cloud platforms (AWS, GCP, Azure).</p></li><li><p>Data & automation: SQL for analysis; build/maintain dashboards; edit XML-based DLP rules; script and use APIs.</p></li><li><p>Excellent problem-solving and communication skills; collaborative on a global team; customer-centric with a passion for cloud security and emerging tech.</p></li></ul><p>Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It.<br>Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe.</p><p><strong>AI Tools Disclosure:</strong> As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ('AI Tools'). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking.</p><p><em>Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.</em></p>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
Deepgram company logo
Research Staff, Data Science
Sep 23
Deepgram
Sep 23
All U.S.
Remote & Hybrid Options
150k-220k / Yr
<h2>Company Overview</h2><p>Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.</p><h2>Company Operating Rhythm</h2><p>At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.</p><p>Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.</p><p>Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.</p><h2>The Opportunity</h2><p>Voice is the most natural modality for human interaction with machines. However, current sequence modeling paradigms based on jointly scaling model and data cannot deliver voice AI capable of universal human interaction. The challenges are rooted in fundamental data problems posed by audio: real-world audio data is scarce and enormously diverse, spanning a vast space of voices, speaking styles, and acoustic conditions. Even if billions of hours of audio were accessible, its inherent high dimensionality creates computational and storage costs that make training and deployment prohibitively expensive at world scale. We believe that entirely new paradigms for audio AI are needed to overcome these challenges and make voice interaction accessible to everyone.</p><h2>The Role</h2><p>Deepgram is currently looking for seasoned Data Scientists with demonstrated experience solving hard data problems while exploring research frontiers to join our Research Staff. Conversational audio presents incredibly rich scientific, engineering, and infrastructure challenges that are orders of magnitude harder than working with text. As a Member of the Research Staff, you will help us to build an industrial “data factory” that will be used to power the next generation of Voice AI systems - unlocking the creation of models that go beyond basic transcription and comprehension, capturing nuanced meanings in complex conversations, adapting robustly to diverse speech patterns, and generating empathic responses with human-like, contextualized speech. You will collaborate closely with our product, engineering, and data teams to build and deploy models in the most scalable voice API on the planet. We look forward to you bringing your expertise, sharing insights from your latest experiments, and collaborating with us to push the boundaries of AI and voice technology.</p><h2>The Challenge</h2><p>We are seeking Research Staff who:</p><ul><li><p>See 'unsolved' problems as opportunities to pioneer entirely new approaches</p></li><li><p>Can identify the one critical experiment that will validate or kill an idea in days, not months</p></li><li><p>Have the vision to scale successful proofs-of-concept 100x</p></li><li><p>Are obsessed with using AI to automate and amplify your own impact</p></li></ul><p>If you find yourself energized rather than daunted by these expectations—if you're already thinking about five ideas to try while reading this—you might be the researcher we need. This role demands obsession with the problems, creativity in approach, and relentless drive toward elegant, scalable solutions. The technical challenges are immense, but the potential impact is transformative.</p><h2>What You'll Do</h2><ul><li><p>Drive high performance data acquisition, preparation and synthesis pipelines to generate data for the next generation of speech and language AI foundation models</p></li><li><p>Develop advanced characterizations of complex conversational audio utilizing a diverse toolkit of signals processing techniques and deep learning models</p></li><li><p>Collaborate with DataOps and Engineering to create automated systems which scale the ability of human annotators to label high value data and provide critical feedback on model outputs</p></li><li><p>Build advanced benchmarking methodologies and curated datasets for evaluating conversational voice systems</p></li><li><p>Document and present results of data experiments and analysis for internal and external audiences</p></li></ul><h2>You’ll Love This Role If You</h2><ul><li><p>Are obsessed with making sense out of complex and/or messy data</p></li><li><p>Enjoy building from the ground up and love to create new systems from scratch</p></li><li><p>Are passionate about AI and interested in leveraging data to solve hard problems</p></li><li><p>Are motivated by the prospect of scaling yourself using automation and AI models</p></li></ul><h2>It's Important to Us That You Have</h2><ul><li><p>Experience building data processing pipelines from a blank page and owning the entire data stack including data acquisition, characterization, cleaning, serving and transformation</p></li><li><p>Experience and expertise applying statistical methods and deep learning models to understand complex data</p></li><li><p>Strong communication skills and the ability to translate complex concepts in simple terms, depending on the target audience</p></li><li><p>Strong software engineering skills with particular emphasis on developing clean, modular code in Python and working with Pytorch</p></li></ul><h2>Nice to Haves</h2><ul><li><p>Background in Physics, Mechanical Engineering or Language Processing</p></li><li><p>Experience building models</p></li><li><p>Speech and audio experience</p></li></ul><p><em><strong>Notice</strong>: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @</em><a href='http://deepgram.com'><em>deepgram.com</em></a><em> email address. If you've received a message claiming to be Deepgram, please forward it to [email protected].</em></p>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
Tremendous company logo
Senior Data Analyst, GTM
Sep 23
Tremendous
Sep 23
All U.S.
Fully Remote
175k-225k / Yr
<p>Tremendous is the fast, free, flexible way to send bulk payouts to people in over 230 countries and regions. 20,000+ companies ranging from mom-and-pops to Google, MIT, and United Way have sent over $1 billion, saving 15 hours a month on average.</p><p>In both our product and our workplace, we’re intentional about making work more efficient, flexible, and fulfilling. Tremendous is a fully remote, high-documentation, low-meeting culture, which means more time for what matters in both your professional and personal life.</p><p>Our customers, who include marketers, researchers, HR teams, and nonprofits, rave about how quick and easy it is to use Tremendous — <a href='https://www.g2.com/products/tremendous/reviews'><strong>check the ratings on G2</strong></a>. Yet there’s a lot of complexity under the hood, including over 2,500 redemption options and plenty of banking infrastructure. This duality makes working here a fun challenge.</p><p>Tremendous is profitable and growing without outside investors. Join us before our next international offsite.</p><h2>About the role</h2><p>We are hiring an experienced data analyst to partner across our go-to-market teams (Sales, RevOps, Marketing, and Customer Success) and connect the full revenue funnel from acquisition through retention.<br><br>Tremendous values data as a first-class citizen and believes insights unlock significant growth. You will collaborate closely with the data team and company-wide stakeholders. As we continue to grow the business, you will scale GTM-focused insights and lead new data-driven initiatives.</p><h2>What you'll do</h2><ul><li><p>Apply a range of analytics methods to gain insights across our go-to-market teams (sales, RevOps, marketing, and customer success), such as conversion funnels and attribution.</p></li><li><p>Consolidate diverse facts and findings into compelling narratives that can be applied across Tremendous.</p></li><li><p>Advocate for data-informed decisions by partnering with key stakeholders and senior leaders.</p></li><li><p>Identify and implement improvements within the Data team by standardizing processes, developing innovative practices, providing mentorship, and fostering new expertise.</p></li><li><p>Join a growing team of analysts and actively contribute to team collaboration and culture.</p></li></ul><h2>What you'll bring</h2><ul><li><p>You have extensive experience with B2B GTM analytics across some or all of marketing, sales, RevOps, and customer success, and you are familiar with the related tools.</p></li><li><p>You write sophisticated SQL with a preference for well-architected data models, optimized query performance, and documented code.</p></li><li><p>You are proficient with at least one visualization & business intelligence platform (e.g., Sigma, Tableau, Mode).</p></li><li><p>Strong verbal and communication skills. You can articulate why something should be built a certain way and how it will impact the business.</p></li><li><p>You expedite projects forward, favoring rapid and incremental development in parallel with problem-solving short-term obstacles.</p></li><li><p>You employ a structured approach to handle ambiguous exploratory analysis, balancing thoroughness with the MVP mindset.</p></li><li><p>You use data to achieve ambitious goals and influence company-level outcomes. Experience as a technical lead or manager is a plus.</p></li><li><p>You use excellent judgment and sharp business and product instincts that allow you to prioritize.</p></li></ul><p><em>Bonus</em></p><ul><li><p>Experience with forecasting and predictive modeling.</p></li><li><p>Experience with operational tools and systems like Segment, Amplitude and Hubspot (or other CRM tools).</p></li><li><p>Experience with dbt, Fivetran or Census.</p></li><li><p>Experience in Python or R.</p></li></ul><h2>What's cool about the role</h2><ul><li><p><strong>Competitive pay and equity.</strong> Base salary for this role: $175k to $225k.</p></li><li><p><strong>Real benefits.</strong> 100% covered health (US), unlimited PTO, 12-16 weeks paid parental leave.</p></li><li><p><strong>Fully remote.</strong> Work from anywhere in the Americas.</p></li><li><p><strong>Great culture.</strong> Read more about how we work in our <a href='https://handbook.tremendous.com/'>public handbook</a>.</p></li></ul>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
Canonical company logo
Manager, People Analytics
Sep 22
Canonical
Sep 22
All U.S.
Fully Remote
<p>The Workplace Engineering function sits at the intersection of traditional HR analytics and modern Product Engineering. We transform raw workforce data into a suite of 'People Products' that drive high performance. We don’t just 'report' on what happened; we engineer the tools and insights that determine what happens next.</p><p>This new role will report directly to the Global Head of Workplace Engineering, and sits within our Data discipline inside of our People department. Experienced data professionals at Canonical live at the intersection of software, data, and the business. They don't just help surface analytic artifacts; they help transform them into a strategic asset that elevates decision making and innovation across our global operations (e.g., sales, marketing, engineering, and human resources). They balance technical precision with business pragmatism, designing and iterating on experiments, automations, and products that transform insights into valued outcomes. They shape tomorrow's AI/Data stack in open source, ensuring that Canonical remains at the forefront of data-driven excellence. Their curiosity is contagious and has an amplifying effect on data literacy and stewardship across the business teams they support.</p><p>Location: This is a remote role based in the AMER or EMEA Region.</p><h2>The role entails</h2> <ul><li>Multi-Disciplinary Leadership: Lead and mentor a specialized squad of People Data Scientists, Software Engineers, and UX Designers. You aren't just managing analysts; you are leading a product squad.</li><li>Product Ownership on People Science: Bridge the gap between 'HR-speak' and 'Dev-speak', ensuring engineers understand the human behavioral intent behind the code.</li><li>Strategic Insight &amp; Business Outcomes: Move beyond descriptive metrics (e.g., turnover rate) to predictive and prescriptive insights (e.g., predicting attrition risk based on 'Time-Product' engagement data).</li><li>Data Stewardship &amp; Product Storytelling: Act as the 'Translator-in-Chief'. Take complex data models and turn them into compelling narratives. Lead the development of AI Agents that can surface insights to managers in real-time. Ensure the 'People Data Stack' is secure, GDPR/privacy-compliant, and acts as a 'Single Source of Truth' across all People related offerings, products and services.</li><li>“Effectiveness at Work” Strategy: Identify opportunities to leverage “High Tech” solutions in our People offerings, and free up more time for “High Touch”, human involvement, thereby maximizing human value.</li></ul> <h2>What we are looking for in you</h2> <ul><li>Background in data science, mathematics, or engineering, skilled in advanced statistics, data wrangling/science, databases (SQL, etc.) or software engineering.</li><li>Strength in coding/scripting languages (Python, R, JavaScript, etc.), software engineering, visualization (e.g. Superset, Tableau), and automation.</li><li>Ability to translate business questions to key research objectives.</li><li>Ability to identify the best methodology to execute research, synthesize and analyze findings.</li><li>Proven ability to lead and drive others to execute against well planned roadmaps, with a strong mentor/coaching mindset. </li><li>Willingness to examine the status quo and be resilient in the face of challenges.</li><li>Ambition to build tomorrow's AI/Data stack in open source.</li><li>An exceptional academic track record from high school and university.</li><li>Business level written and spoken English.</li><li>Sincere personal motivation aligned with our mission.</li><li>International travel 2-4 times a year for company events up to two weeks long.</li></ul> <p>In addition we expect that you will match our values, by being:</p><ul><li>Precise, taking care to deliver correctness and clarity.</li><li>Reliable, delivering high quality work that builds trust and confidence.</li><li>Accessible, collaborating to build products and systems that are usable.</li><li>Adroit, blending enthusiasm, knowledge, adaptability, style and character.</li></ul> <h2>Nice-to-have skills</h2> <ul><li>Experience with dbt (Data Build Tool), Airbyte, Ranger, Superset, Temporal, or Trino</li><li>Basic understanding of containerization technologies such as Docker and Kubernetes</li><li>Agentic Engineering</li><li>Product management</li><li>User experience and design</li></ul> <h2>What we offer colleagues</h2> <p>We consider geographical location, experience, and performance in shaping compensation worldwide. We assess performance and revisit compensation twice annually to ensure we recognize outstanding colleagues. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.</p><ul><li>Distributed work environment with twice-yearly team sprints in person</li><li>Personal learning and development budget of USD 2,000 per year</li><li>Bi-annual compensation review</li><li>Company recognition rewards</li><li>40 days annual leave per annum, including public holidays and our All Company holiday periods</li><li>Maternity and paternity leave</li><li>Team Member Assistance Program &amp; Wellness Platform</li><li>Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access</li></ul> <h2>About Canonical</h2> <p>Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing.</p><p>Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.</p><h2>Canonical is an equal opportunity employer</h2> <p>We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. <a href='https://canonical.com/careers/diversity/identity'>Whatever your identity, we will give your application fair consideration.</a></p>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
Figma company logo
Director, Data Science
Sep 21
Figma
Sep 21
All U.S.
Remote & Hybrid Options
290k-376k / Yr
<p>Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!</p><p>The AI Product's Data Science org is at the center of the next generation of products at Figma, spanning Make, Figma Agent, Design Systems, and other areas. Data is critical to setting strategy and measurement across these areas. This org engages closely with AI Research and is a driving force behind our evals work and the future of product measurement at scale. With a charge to uplevel Figma’s use of data, the team works alongside other Data Scientists and Engineering to identify ways to implement and democratize new statistical methods, build data frameworks, and incorporate data within Figma’s product development process. This team contributes to the company’s goals by collaborating closely with product managers, engineers, and our finance team to uncover new opportunities, identify inefficiencies and recommend improvements through data-driven insights.<br><br>As Director, you will lead a team of data scientists and managers, setting the vision for how data shapes strategy across Figma's AI products. You'll work closely with Product, Engineering, Design, and Research leadership to embed data-driven thinking and modern AI-product measurement into how we build.<br><br>This is a full time role that can be held from one of our US hubs or remotely in the United States.</p><h2>What you’ll do at Figma:</h2> <ul><li>Lead, support, and grow a team of data scientists and data science managers with varied strengths and expertise focused on product strategy, internal tooling, and Impact measurement</li><li>Champion data quality, accessibility, and the democratization of data across the company</li><li>Establish trust within and across teams by creating accountability and a positive work environment in partnership with other leaders in the organization</li><li>Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact</li><li>Shape how we measure AI products: evals, quality, and experimentation for LLM-powered assistants and agents in partnership with AI Research</li></ul> <p><h2>We'd love to hear from you if you have:</h2> <ul><li>8+ years of experience managing and leading high output Data Science teams, with at least 2 years managing other managers</li><li>7+ years of experience working in AI, Data Science, or a related field</li><li>Proven experience building or measuring AI products, ideally LLM-powered assistants, agents, chatbots, or copilots</li><li>Demonstrated expertise in statistical methods, experimentation, and/or forecasting, with the technical curiosity to learn and grow alongside your team</li><li>Ability to scale teams in high-growth environments, with a desire to build an inclusive and diverse culture</li></ul> <h2>While not required, it’s an added plus if you also have:</h2> <ul><li>Experience owning 0 to 1 product areas</li></ul> <p>At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.</p><p><strong>Pay Transparency Disclosure</strong></p><p>Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. </p><p>Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.</p><p>Annual Base Salary Range:</p><p>$290,000&mdash;$376,000 USD</p><p>At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an <a href='https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf'>equal opportunity workplace</a> - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status<strong>, </strong>or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.</p><p>We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to <a href='mailto:[email protected]'>[email protected]</a>. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. </p><p>Examples of accommodations include but are not limited to: </p><ul><li>Holding interviews in an accessible location</li><li>Enabling closed captioning on video conferencing</li><li>Ensuring all written communication be compatible with screen readers</li><li>Changing the mode or format of interviews </li></ul> <p>To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.</p><p>By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with <a href='https://www.figma.com/legal/candidate-privacy-notice/'>Figma's Candidate Privacy Notice</a>.</p>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
Deepgram company logo
Senior Data Intelligence Engineer
Sep 20
Deepgram
Sep 20
All U.S.
Fully Remote
165k-220k / Yr
<h2>Company Overview</h2><p>Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.</p><h2>Company Operating Rhythm</h2><p>At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.</p><p>Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.</p><p>Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.</p><h2>About Deepgram</h2><p>Deepgram is the foundational AI company for voice. We build the models that allow machines to hear, understand, and speak to humans with zero latency. As we scale our usage-based economy, we are building the 'Intelligence Layer'—a system of autonomous agents that monitor, reason, and act on our data to drive NRR and operational excellence.</p><h2>The Role</h2><p>Reporting to the <strong>Head of Decision Intelligence</strong>, you are the <strong>founding engineer</strong> of the Data Intelligence team. While the Head of Data sets the strategic 'Brain' of the company, you build the nervous system. You are not building legacy dashboards; instead you are building the API-based tools, dbt models, and semantic layers that allow AI agents to navigate our data environment autonomously.</p><h2>Key Responsibilities</h2><ul><li><p><strong>Semantic Layer Architecture:</strong> Build and maintain high-fidelity dbt and SQL models that serve as the 'ground truth' for our complex, usage-based revenue models.</p></li><li><p><strong>Agent Tooling & Integration:</strong> Develop the tools and permissions frameworks that allow 'Analyst Agents' to query Athena, correlate Salesforce churn signals, and identify API latency issues.</p></li><li><p><strong>Infrastructure Evolution:</strong> Serve as the technical bridge to the Engineering/Infra team to ensure our data contracts are 'agent-ready' and highly reliable.</p></li><li><p><strong>The 'Unlock Audio Intelligence' Project:</strong> Partner with the Head of Data to ingest thousands of hours of internal calls using Deepgram’s own models, turning unstructured audio into queryable insights for GTM teams.</p></li><li><p><strong>Automation Obsession:</strong> Maintain a culture where manual, repetitive SQL tasks are viewed as automation bugs to be solved with code and agents.</p></li></ul><h2>Requirements</h2><ul><li><p><strong>Experience:</strong> 5+ years in high-growth Data or AI Engineering roles.</p></li><li><p><strong>AI-Native Technical Skills:</strong> Mastery of <strong>SQL</strong> and <strong>Python</strong> (production-grade) with a proven track record of building <strong>RAG or Agentic systems</strong> on top of structured data.</p></li><li><p><strong>Usage-Based SaaS Fluency:</strong> Familiarity with the metrics of an API-first business, such as consumption patterns, gross margins, and NRR.</p></li><li><p><strong>Builder Mindset:</strong> Comfort with 'work-in-progress' infrastructure and the ability to turn messy, siloed data into high-impact business logic.</p></li></ul><h2>Bonus Points</h2><ul><li><p>Prior experience as a Software Engineer or Data Engineer.</p></li><li><p>Experience with real-time billing and consumption systems.</p></li><li><p>Contributions to open-source data or AI projects.</p></li></ul><p><em><strong>Notice</strong>: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @</em><a href='http://deepgram.com'><em>deepgram.com</em></a><em> email address. If you've received a message claiming to be Deepgram, please forward it to [email protected].</em></p>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
Tremendous company logo
Senior Data Analyst
Sep 18
Tremendous
Sep 18
All U.S.
Fully Remote
175k-225k / Yr
<p>Tremendous is the global platform built for businesses to send thousands of payouts to anyone, anywhere, for free. We're trusted by 20,000 organizations like Atlassian, MIT, and United Way to deliver gift cards and money to millions of recipients worldwide.</p><p>Our customers (researchers, marketers, HR teams, nonprofits, and platform businesses) rave about how fast and easy Tremendous is to use. <a href='https://www.g2.com/products/tremendous/reviews'>Check out our ratings on G2</a>.</p><p>Tremendous is profitable and growing without outside investors. We're a fully remote, high-documentation, low-meeting culture, which means more time for what matters in both your professional and personal life. The team agrees– our employee NPS is in the high 80s.</p><h2>About the role</h2><p>We are hiring an experienced data analyst to partner with our internal stakeholders and help build the foundations that make AI-powered data access reliable.</p><p>You will support multiple business areas (including Product, Finance, and Customer Success) and contribute significantly to the semantic layer and our data model.</p><p>Tremendous values data as a first-class citizen and believes insights unlock significant growth. You will be an integral part of the data team and collaborate closely with company-wide stakeholders.</p><h2>What you'll do</h2><ul><li><p>Contribute to trusted, reliable data models and semantic layer coverage that make AI-generated analyses more accurate.</p></li><li><p>Apply various analytics methods to gain insights into critical aspects of our business.</p></li><li><p>Consolidate diverse facts and findings into compelling narratives that can be applied across Tremendous.</p></li><li><p>Advocate for data-informed decisions by partnering with key stakeholders and senior leaders.</p></li><li><p>Identify and implement improvements within the Data team by standardizing processes, developing innovative practices, and fostering new expertise.</p></li><li><p>Join a growing data team and actively contribute to team collaboration and culture.</p></li></ul><h2>What you'll bring</h2><ul><li><p>You write sophisticated SQL with a preference for well-architected data models, optimized query performance, and documented code.</p></li><li><p>You are proficient with at least one visualization & business intelligence platform (e.g., Sigma, Tableau, Looker, Mode).</p></li><li><p>Strong verbal and communication skills. You can articulate why something should be built a certain way and how it will impact the business.</p></li><li><p>You're comfortable working alongside AI tools and thinking critically about AI-generated output.</p></li><li><p>You expedite projects forward, favoring rapid and incremental development in parallel with problem-solving short-term obstacles.</p></li><li><p>You employ a structured approach to handle ambiguous exploratory analysis, balancing thoroughness with the MVP mindset.</p></li><li><p>You use excellent judgment and sharp business and product instincts that allow you to prioritize.</p></li></ul><p><em>Bonus</em></p><ul><li><p>Experience working with a B2B software product.</p></li><li><p>Experience with dbt, Sigma, and Snowflake.</p></li><li><p>Experience in Python or R.</p></li></ul><h2>What's cool about the role</h2><ul><li><p><strong>Competitive pay and equity.</strong> Base salary for this role: $175k to $225k.</p></li><li><p><strong>Real benefits.</strong> 100% covered health (US), unlimited PTO, 12-16 weeks paid parental leave.</p></li><li><p><strong>Fully remote.</strong> Work from anywhere in the Americas.</p></li><li><p><strong>Great culture.</strong> Read more about how we work in our <a href='https://handbook.tremendous.com/'>public handbook</a>.</p></li></ul>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
Deepgram company logo
AI Data Readiness Lead
Sep 18
Deepgram
Sep 18
All U.S.
Fully Remote
165k-220k / Yr
<h2>Company Overview</h2><p>Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.</p><h2>Company Operating Rhythm</h2><p>At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.</p><p>Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.</p><p>Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.</p><h2></h2><h2>About the role</h2><p>Analytics is only as trustworthy as the definitions underneath it. As more reporting and decision-making moves to AI agents, the cost of ambiguous or conflicting metric definitions compounds, an agent applies the wrong rule confidently, at scale, and nobody catches it.</p><p>This role exists to prevent that. You will own what our numbers mean, make those definitions enforceable in the systems that serve them, and verify that both people and agents are using them.</p><p>This is a governance-first role with real technical depth. You will spend your time defining, implementing, and validating, building pipelines and developing agentic reporting are secondary.</p><h2>What you'll work on</h2><p><strong>Own the metric registry.</strong> Establish canonical definitions for the metrics the business runs on. Where competing versions exist, convene the owners, document the disagreement, and drive to a decision. Publish changes with a clear statement of what moves and why.</p><p><strong>Make definitions enforceable.</strong> Implement agreed definitions in the semantic layer and data catalog so they are applied by the system rather than described in a document. Retire superseded versions.</p><p><strong>Reduce the surface area.</strong> Audit the reporting estate, retire assets with no audience, and establish ownership for what remains.</p><p><strong>Build data quality checks/agents.</strong> Freshness, uniqueness, referential integrity, and cross-system reconciliation — with failures routed to named owners/agents who act on them.</p><p><strong>Verify AI agents.</strong> Maintain an inventory of agents accessing company data and the definitions each relies on. Evaluate agent output against known-correct answers and track accuracy, refusal, and error rates.</p><p><strong>Enable self-serve.</strong> Make governed data accessible and trustworthy for people querying it directly or through AI tools.</p><h2>Qualifications</h2><ul><li><p>5+ years in analytics, analytics engineering, or a closely related field</p></li><li><p>Strong SQL, including comfort reverse-engineering undocumented transformation logic written by others</p></li><li><p>Direct ownership of a semantic or metrics layer in production — dbt, Cube, LookML, or equivalent. Not just usage: responsibility for what went into it and why</p></li><li><p>Demonstrated ability to resolve conflicting metric definitions across functions and land a decision</p></li><li><p>Clear written communication. Most of your output is documentation others must trust without re-deriving it</p></li><li><p>Comfort deprecating and removing work that others built</p></li><li><p>Experience evaluating LLM or AI agent output against ground truth</p></li><li><p>Experience developing or contributing to a data catalog and/or lineage tooling</p></li></ul><h2>Nice to have</h2><ul><li><p>Experience with lakehouse architectures, Iceberg, Athena, Trino, or similar</p></li><li><p>Exposure to audit readiness, SOX, or financial controls environments</p></li><li><p>Consumption or usage-based business models, where committed, consumed, invoiced, and recognised revenue are genuinely different numbers</p></li><li><p>Having joined a function early, before process existed</p></li></ul><p></p><p><em><strong>Notice</strong>: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @</em><a href='http://deepgram.com'><em>deepgram.com</em></a><em> email address. If you've received a message claiming to be Deepgram, please forward it to [email protected].</em></p>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
Reddit company logo
Senior Data Scientist, Ads
Sep 18
Reddit
Sep 18
All U.S.
Fully Remote
190.8k-267.1k / Yr
<p>Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit <a href='http://www.redditinc.com/'>www.redditinc.com</a>.</p><h2>Location: US remote-friendly</h2> <p>Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.</p><p>Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.</p><h2>About the Ads Data Science Team:</h2> <p>The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods. </p><p>We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.</p><h2>About the Role:</h2> <p>We are looking for a highly motivated and experienced Senior Data Scientist to join our growing Ads Data Science team. As a Senior Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve the adoption and performance of our advertising platform through data-driven insights. You will work closely with product managers, engineers, and other data scientists to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.</p><h2>Responsibilities:</h2> <ul><li>Design, develop, and apply DS solutions to inform improvements in advertiser experience and Reddit's ad platform</li><li>Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform</li><li>Collaborate with product managers and engineers to define product requirements and translate them into data science solutions</li><li>Develop ML models &amp; DS methods to improve anomaly detection, prediction, &amp; pattern recognition </li><li>Communicate findings and recommendations to stakeholders across the organization</li><li>Stay up-to-date on the latest advancements in machine learning and data science</li><li>Mentor and guide junior data scientists on the team</li></ul> <h2>Qualifications:</h2> <ul><li>Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research</li><li>For M.S. holders: 5+ years of industry experience in applied science or data science roles</li><li>For Ph.D. holders: 4+ years of industry experience in applied science or data science roles</li><li>Platform experience and a deep understanding of the ads ecosystem</li><li>Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design</li><li>Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus</li><li>Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch</li><li>Experience with SQL and relational databases</li><li>Excellent communication and presentation skills</li><li>Passion for Reddit and the online advertising industry</li></ul> <h2>Bonus Points:</h2> <ul><li>Experience with online advertising and ad tech</li><li>Experience with causal inference and A/B testing</li><li>Contributions to open-source projects or publications in relevant conferences or journals</li></ul> <h2>Benefits:</h2> <ul><li>Comprehensive Healthcare Benefits and Income Replacement Programs</li><li>401k with Employer Match</li><li>Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support</li><li>Family Planning Support</li><li>Gender-Affirming Care</li><li>Mental Health &amp; Coaching Benefits</li><li>Flexible Vacation &amp; Paid Volunteer Time Off</li><li>Generous Paid Parental Leave </li></ul> <p>#LI-Remote</p><p><h2>Pay Transparency:</h2> <p>This job posting may span more than one career level.</p><p>In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit <a href='https://www.redditinc.com/careers/'>https://www.redditinc.com/careers/</a>.</p><p>To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.</p><p>The base salary range for this position is:</p><p>$190,800&mdash;$267,100 USD</p><p>In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.</p><p>During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our <a href='https://redditinc.com/policies/candidate-privacy-policy'>Candidate Privacy Policy for Potential Employees and Contractors</a>.</p><p><em>Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.</em></p>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
Airbnb company logo
Senior Data Scientist - Payments (Inference)
Sep 18
Airbnb
Sep 18
All U.S.
Fully Remote
179k-210k / Yr
<p>Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.</p><h2>The Community You Will Join:</h2> <p>You will join the Payments Data Science organization, which sits at the intersection of Trust and Payments and powers the systems that move money safely and efficiently across Airbnb's global marketplace. The team spans payment optimization for guests and hosts, fraud and risk mitigation, complex measurement, and regulatory compliance. We partner directly with Payments product and engineering leadership, Finance, and Trust to ensure every transaction is fast, safe, and compliant at global scale. Our work directly shapes decisions made by senior leaders, including Payments executive leadership, and requires a rigorous, evidence-based approach to every recommendation we make. Our Data Science team enables this mission by providing reliable measurement frameworks to deliver robust data insights, build and enable state-of-the-art data products/models, and provide actionable and reliable business guidance.</p><h2>The Difference You Will Make:</h2> <p>We are looking for a passionate data scientist to lead quantitative measurement efforts and bring novel scientific approaches to drive decision making across our platform’s payment experience. This data scientist will perform careful hypothesis generation, causal inference framework development, and model development/evaluation to ideate and drive payment strategies on our platform. This role will have a particular focus on payments fraud mitigation and loss optimization, with the goal of making our platform safer for our community.<br><br>Our Data Scientists have a deep understanding of causal framework development, statistical analysis, machine learning model development and evaluation strategies, and the complications of running experiment/quasi-experimental methods in a two-sided marketplace. They have keen business sense and are able to develop novel solutions to fraud and risk problems that don't have an established playbook and utilize their findings to communicate across a wide range of partners to drive our data &amp; product roadmaps. They are not only the trusted data expert on their team, but also a storyteller.</p><p>Examples of projects you may work on include, development of novel metrics and frameworks that can efficiently measure outcomes (often balancing competing tradeoffs), generating deep root cause investigations and long term impact measurements, and building/evaluating ML and agentic models to optimize guest, host, and business outcomes.</p><h2>A Typical Day: </h2> <ul><li><strong>Inference: </strong>Develop and apply causal inference methods, including experimental, econometric regressions, and quasi-experimental methods to measure a wide-range of platform/product impacts.</li><li><strong>Ai/ml: </strong>Build methods for robust evaluation of ML/AI model efficiency and performance. Ability to identify use-cases for and develop predictive models to classify, segment, and interpret our users’ behavior. Support evaluation and optimization of agentic and LLM-based systems.</li><li><strong>Optimization: </strong>Develop methodologies to explore/simulate the impact of new interventions and develop data products to optimize product/operational strategies.</li><li><strong>Communication: </strong>Deliver robust research reports and effective data visualizations. Collaborate with and present to stakeholders to identify opportunities and communicate findings, and drive impact.</li><li><strong>Empowerment: </strong>Think strategically about opportunities to improve and scale our brand measurement and customer insights.</li></ul> <h2>Your Expertise:</h2> <ul><li>5+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (math / economics / statistics, and etc.), or 3+ years of experience with a Phd degree.</li><li>Strong knowledge of causal inference, experimentation, applied statistical modeling, and end-to-end ML development.</li><li>Skilled in statistical programming (Python or R) and database usage (SQL)</li><li>Demonstrated track record of owning a business or technical domain end-to-end at a prior company: setting your own roadmap, being the accountable expert others escalate to, and driving a problem to resolution.</li><li>Proven ability to communicate clearly and effectively to audiences of varying technical levels</li><li>Ability to work independently, set your own roadmap, and drive cross-functional alignment</li><li>Payments Fraud/Risk Domain expertise is a strong plus.</li><li>Familiarity with evaluating agentic or LLM-based systems (e.g., decision-quality measurement, human-in-the-loop calibration) is a plus.</li></ul> <h2>Your Location:</h2> <p>This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. <a href='https://careers.airbnb.com/'>Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list</a>. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.</p><h2>Our Commitment To Inclusion &amp; Belonging:</h2> <p>Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.</p><p>We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: <a href='mailto:[email protected]'>[email protected]</a>. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. </p><p>We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.</p><p><h2>How We'll Take Care of You:</h2> <p>Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. </p><p>Pay Range</p><p>$179,000&mdash;$210,000 USD</p>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
Revenuecat company logo
Data Analyst
Sep 18
Revenuecat
Sep 18
All U.S.
Fully Remote
167k / Yr
<p>RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile. </p><p>We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue.</p><p>We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. </p><p>This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading.</p><h2>The role</h2><p>We're hiring a Data Analyst to work as close as possible to the teams that run RevenueCat's business, including Marketing, Sales, Finance, People, Ops, Product, etc.</p><p>The most valuable thing on our Analytics team today isn't SQL, it's domain knowledge. Knowing what a trial start actually counts, why tracked revenue and realized revenue are different, how store refunds land in our data, and which model answers a question correctly the first time. That knowledge is what turns a half-formed Slack question into a number someone can act on within the hour.</p><p>So you'll spend most of your time with business teams: understanding what they're trying to decide, turning vague questions into analysis, and shipping the datasets and dashboards they rely on. You'll build that domain knowledge fast, working day to day with the person who currently owns Analytics here. He'll be your closest partner and the person who helps you grow into the domain.</p><p>The second thing that makes this role exciting is how we expect you to work. We're building the infrastructure that lets AI agents access our data safely, and agentic tooling that answers questions grounded in our semantic layer rather than guessing. You'll be one of its heaviest users and one of the people who makes it trustworthy: curating the semantic context, catching the answers that look right and aren't, and pushing definitions back into dbt and LookML where they belong. We're not hiring someone to do the same volume of work faster, we're hiring someone who supports multiple teams well using this collection of new tools as a force multiplier.</p><h2>What you will do</h2><ul><li><p>Partner regularly with Marketing, Sales, Finance and Product teams. Learn their goals, their metrics, and the decisions they're actually stuck on.</p></li><li><p>Own analysis end to end: clarify the real question, build or pick the right dataset, deliver the answer, and make sure a decision follows.</p></li><li><p>Go deep on our subscription domain, then write it down. Metric definitions, caveats, always-filters, known gotchas. Domain knowledge that only lives in your head doesn't scale, and scaling it is the point of this role.</p></li><li><p>Build analytics assets people trust without asking you first: models in dbt, explores in LookML, dashboards that hold up.</p></li><li><p>Use our agent tooling as a force multiplier and contribute back to it. Feed it semantic context, flag wrong answers, harden the definitions it depends on.</p></li><li><p>Contribute to the data platform where it unblocks you. Small model and pipeline improvements, debugging discrepancies, helping out when something breaks.</p></li><li><p>Translate in both directions: business context into robust analysis, data reality into language a non-technical stakeholder can act on.</p></li></ul><h2>About you</h2><p>3+ years in an analytics role (Data Analyst, BI Analyst, Business Analyst, Analytics Engineer or similar), including real experience as the direct analytics partner to a business team such as Marketing, Sales or Finance.</p><p>Curiosity is the thing we're actually screening for:</p><ul><li><p>You're uncomfortable when you don't understand why a number is what it is, and you dig until you do.</p></li><li><p>You ask the question behind the question. When someone asks for a dashboard, you find out what decision it's for.</p></li><li><p>You'd rather learn a new domain than a new tool.</p></li><li><p>You're comfortable without fully formed requirements, and you create structure where none exists yet.</p></li><li><p>You care more about being useful and clear than about polished dashboards.</p></li><li><p>You want to be a partner to the business, not a request queue.</p></li></ul><p>From a skills perspective, you bring:</p><ul><li><p>Strong SQL and real comfort working directly in a warehouse. You can get to an answer without hand-holding.</p></li><li><p>Experience owning datasets and dashboards that non-technical teams depend on.</p></li><li><p>Comfortable working in a repo: git, branches, pull requests, code review. Our analytics lives in version-controlled dbt and LookML repos, not in saved queries.</p></li><li><p>You already work with AI agents daily and you're appropriately skeptical of them. You can explain how you verified an answer, not just how you produced one.</p></li><li><p>Clear written communication, especially about limits, caveats, and what a number does not say.</p></li></ul><p>Nice to have, and genuinely not required: </p><ul><li><p>Python, dbt, Looker or LookML, Snowflake or ClickHouse</p></li><li><p>Subscription or fintech domain experience</p></li><li><p>High-volume data</p></li></ul><h2>What we offer:</h2><ul><li><p>Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator</p></li><li><p>10-year window to exercise vested equity options</p></li><li><p>A fully remote environment designed around autonomy and flexibility.</p></li><li><p>4-5 weeks of flexible time off annually</p></li><li><p>Paid desk at a co-working space</p></li><li><p>Workspace budget and continuous learning stipend</p></li></ul><h2>Interviewing at RevenueCat</h2><p>Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on <a href='https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/'><u>how we hire at RevenueCat</u></a>, including tips to help you succeed.</p><h2>More on how we work:</h2><ul><li><p>How we think about hiring and team design: <a href='https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21'>Building a Winning Team</a></p></li><li><p>The values that guide how we work: <a href='https://www.revenuecat.com/blog/values/'>Our Values</a></p></li><li><p>How we work as a remote team: <a href='https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/'>How We Work Remotely at RevenueCat</a></p></li><li><p>What to expect from our interview process: <a href='https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21'>Interview Expectations</a></p></li><li><p>What to expect from comp and employment: <a href='https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21'>Employment FAQ</a></p></li></ul>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
Stripe company logo
Data Excellence Manager
Sep 18
Stripe
Sep 18
All U.S.
Remote & Hybrid Options
<h2>Who we are </h2> <h3>About Stripe</h3> <p>Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.</p><h3>About the team</h3> <p>Stripe’s GTM Planning &amp; Central Operations team partners with Sales Leadership, Finance, Product, Region Sales Strategy and Operations, and Data Engineering to build the operational processes, tools, policies, and data required to bring our GTM strategy to life. We bring expertise, rigorous thinking, and a user-first approach to problem-solving. We transform, improve, and support global Stripe business processes to drive critical initiatives and other cross-functional business priorities for the sales planning cycle.</p><h2>What you’ll do</h2> <p>Build and lead a team of FTE and outsourced Sales Operations experts to improve our customer data. You will partner with GTM leadership to understand gaps and address them through processes, policies, and workflows.</p><h3>Responsibilities</h3> <ul><li>Apply systems thinking and continuous improvement to the mechanisms owned by the team.</li><li>Develop a data quality roadmap to address various customer data challenges.</li><li>Align on prioritization with leadership, Data Engineering, and Systems teams.</li><li>Influence the implementation and enablement of systems and tools, working closely with internal systems teams.</li><li>Create an outsourcing strategy for always-on data cleanup.</li><li>Manage contractors as part of the outsourcing strategy to scale data quality initiatives, reporting, processes, and analytics.</li><li>Define and measure metrics for success.</li><li>Develop dashboards highlighting progress against the identified metrics.</li><li>Communicate progress to Stripe leadership and leverage their support to influence and unblock.</li></ul> <h2>Who you are</h2> <p>We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.</p><h3>Minimum requirements</h3> <ul><li>Has 7+ years of sales, strategy, and operations experience in a high-tech growth environment or operational experience in management consulting.</li><li>Is able to own the problem, investigate its root causes, and ensure execution.</li><li>Can work across multiple stakeholders and elevate issues to leadership.</li><li>Has an enthusiastic “roll-up-your-sleeves” mentality and is willing to do IC work while leading.</li><li>Has strong analytical skills and a structured approach to solving unique business problems.</li><li>Works well with a high degree of adaptability and flexibility in a fast-paced, often ambiguous, and rapidly changing environment.</li></ul> <h3>Preferred qualifications</h3> <ul><li>Experience managing outsourced services.</li><li>Proficiency in SQL and other advanced analytics tools.</li><li>Proficiency in BI visualization tools.</li><li>Prior experience at a growth-stage internet/software company.</li><li>Prior experience in the SaaS and/or payments industry.</li></ul>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
Kraken company logo
Sr. Data Analyst, Data & Audit Readiness
Sep 14
Kraken
Sep 14
All U.S.
Fully Remote
110.4k-210.8k / Yr
<h2>Building the Future of Open Finance</h2><p>Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.</p><p><br>Before you apply, we encourage you to explore our <a href='https://www.kraken.com/culture'><u>culture page</u></a> to understand what drives us and how we work.</p><h2>The team</h2><p>Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.</p><p>Payward's Data team builds and operates the data infrastructure, pipelines, and analytics platforms that power decision-making, reporting, and controls across the business. The team partners closely with functions across the company, including Risk & Audit, IT, Finance, and Engineering, to make sure the data those functions depend on is reliable, well-governed, and ready to stand up to scrutiny.</p><p>This role sits within the Data & Audit Readiness team and is dedicated to supporting overall audit readiness from a data standpoint. You will own the inventories, playbooks, catalogs, and access processes that keep the Data team's systems and datasets audit ready, translating audit engagements directly into coordinated, well-documented responses. Because audit readiness is best designed rather than bolted on, this role calls for a data architect's background — someone who has built data pipelines before and knows how to shape them for traceability, access control, and testability from day one. This is a hands-on, builder's role where you will build the ETL pipelines, dashboards, and audit-ready data architecture that let Internal Audit turn audit and review planning into data-driven testing.</p><h2>The opportunity</h2><ul><li><p>Collaborate on the technical coordination and stewardship layer for shared datasets and systems in scope for audit, including financial systems, recordkeeping, and downstream reporting processes.</p></li><li><p>Spearhead improvements to governance, communication, and coordination around upstream schema and logic changes that impact downstream systems and audit-related processes.</p></li><li><p>Support technical analysis and downstream impact assessment during the change management process to improve downstream visibility for datasets, tables, and systems in scope for audit.</p></li><li><p>Support the development and maintenance of reusable audit-ready dataset patterns, including automated validation, data quality checks, and monitoring.</p></li><li><p>Review processes and datasets in scope for Audit, examine existing operational pain points, and propose reengineering opportunities and longer-term process improvements.</p></li><li><p>Provide technical guidance to business stakeholders and the Audit PM around specific Audit requests.</p></li></ul><h2>What you bring</h2><ul><li><p>7+ years of experience in data analytics or data engineering, ideally supporting internal audit, risk, or SOX compliance functions within the fintech, payments, financial market or crypto where data quality and scale are non-negotiable.</p></li><li><p>Experience managing and designing data architecture in a regulated environment, having designed and built data pipelines with governance, traceability, and audit requirements considered from the outset.</p></li><li><p>Hands-on experience building and owning production data pipelines, with strong familiarity with dbt and Airflow or equivalent orchestration tools.</p></li><li><p>Full mastery of SQL including complex joins, CTEs and analytical functions, alongside strong Python proficiency for pipeline development and analysis.</p></li><li><p>Experience documenting technical and business requirements, including metadata, KPI definitions, business rules, data process flows, and data dictionaries.</p></li><li><p>Familiarity with data administration tasks: job scheduling, error/exception handling, and troubleshooting production ETL workflows.</p></li><li><p>Experience partnering with Data Engineering and/or Data Governance teams on shared datasets, schema changes, and downstream impact analysis.</p></li><li><p>Strong communicator who can translate audit and business requirements into technical specifications and translate technical work back into terms non-technical stakeholders understand.</p></li></ul><h2>Nice to haves</h2><ul><li><p>Experience building or scaling a data analytics function within an audit or risk organization from the ground up.</p></li><li><p>Familiarity with AI-assisted or automation tools for data quality checks, testing, or workflow efficiency.</p></li><li><p>Familiarity with audit management platforms (e.g., AuditBoard, Jira, Workiva).</p></li></ul><p><em>Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.</em></p><p><em>Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.</em></p><p><em>We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.</em></p><h2>Our commitment</h2><p>Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.</p><p>We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.</p><p>As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.</p><p><strong>Stay connected</strong></p><p><a href='https://twitter.com/krakenfx'><u>Follow us on Twitter</u></a></p><p><a href='https://blog.kraken.com/#:~:text=Enter%20your%20email%20address'><u>Learn on the Kraken Blog</u></a></p><p><a href='https://www.linkedin.com/company/kraken-exchange/'><u>Connect on LinkedIn</u></a></p><p><br><a href='https://www.kraken.com/legal/candidate-privacy-notice'><u>Candidate Privacy Notice</u></a></p>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
Alpaca company logo
Lead, Data Governance
Sep 13
Alpaca
Sep 13
All U.S.
Fully Remote
<p><strong>Who We Are:</strong></p><p><strong>Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure </strong>for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.<br><br>Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.<br><br>Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.<br><br><strong>Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.</strong><br><br><strong>Our Team Members:</strong></p><p>We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!<br><br>We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.</p><p><strong>Your Role:</strong></p><p>As Lead, Data Governance, you will help build and run Alpaca's data governance and data security program across our lakehouse, analytics tools, and internal data products. You'll set the standards for how we classify data, who can access it, and how we protect it, working closely with Data Engineering and Data Science to put those standards into practice.</p><p>Our data environment has grown quickly. We run several data solutions, and we handle more cross-region data every year across the US, Japan, EU, and other markets. We are also evaluating new analytics and AI tools on a regular basis. Access controls have not always kept pace, and we need someone who can help us catch up and stay ahead of partner and regulatory expectations.</p><p>The team is fully remote. This is an individual contributor role with no direct reports. You'll report to our Chief Information &amp; Security Officer (CISO) and work closely with Data Engineering and Data Science through a dotted-line relationship. </p><p><br></p><p><strong>Things You Get To Do</strong></p><p>- Build and maintain our data governance policies, classification standards, ownership model, and exception process, in line with Security and Privacy requirements</p><p>- Own data access governance for the lakehouse and analytics stack, including entitlement standards, periodic access reviews, and least-privilege access across Trino, Ranger, Cube, Metabase, and related tools</p><p>- Work with Data Engineering on the technical side of controls such as Ranger policies, schema restrictions, and service account management</p><p>- Set data quality standards and help Data teams track and improve against them</p><p>- Keep our data inventory, metadata, and lineage documentation current for compliance and audit purposes</p><p>- Review data-related vendors and new use cases (analytics platforms, reverse ETL, AI query tools, notebooks, and similar) with Security, Privacy, and Legal</p><p>- Support sensitive and cross-border data requests, including PII handling and regional data flows for Engineering, Operations, and New Markets</p><p>- Prepare evidence for SOC 2, ISO 27001, CSA STAR, partner security reviews, and regulatory exams</p><p>- Track data risks and control gaps as part of our Enterprise Risk Management (ERM) program</p><p>- Be the go-to governance partner for Data and Security on access, classification, and tooling questions</p><p>- Help define guardrails as we expand AI and agentic use of corporate data in analytics workflows</p><p><br></p><p><strong>Who You Are (Must-Haves)</strong></p><p>- 5+ years in data governance, data security, GRC, privacy engineering, or a related field</p><p>- At least 2 years working with modern data platforms (lakehouse/warehouse, SQL engines, BI, semantic layers)</p><p>- Solid grasp of data governance frameworks (DAMA-DMBOK, NIST, or similar) and how to apply them in a company that moves quickly</p><p>- You've built or run data classification, access control, or entitlement review programs, not just written the policies</p><p>- Familiar with cloud data platforms (GCP a plus) and typical analytics tooling</p><p>- Working knowledge of privacy and regulatory requirements in financial services (GDPR, CCPA, cross-border transfers, and similar)</p><p>- Experience supporting SOC 2, ISO 27001, or similar audits</p><p>- You work well with engineering teams and know how to push for good controls without becoming a bottleneck</p><p>- Strong written and verbal communication skills</p><p>- Organized, detail-oriented, and comfortable in a fast-paced remote environment</p><p>- Comfortable as an IC with no direct reports</p><p><br></p><p><strong>Who You Might Be (Nice-to-Haves)</strong></p><p>- Fintech, brokerage, or regulated financial services background</p><p>- Hands-on experience with Trino, Apache Ranger, dbt, Cube, Metabase, Airflow, or Iceberg</p><p>- Experience reviewing AI/ML and analytics tools</p><p>- Privacy program or vendor/DPA review experience</p><p>- CIPT, CIPM, CISM, CISSP, CDMP, CRISC, or similar certifications</p><p>- You've been the first governance hire at a growing company before</p><p>- Experience with Japan or EU data residency and cross-border data issues</p><p>- Exposure to ERM or operational risk</p><p>- Remote or distributed team experience</p><p><h2>How We Take Care of You:</h2> <ul><li>Competitive Salary &amp; Stock Options</li><li>Health Benefits</li><li>New Hire Home-Office Setup: One-time USD $500</li><li>Monthly Stipend: USD $150 per month via a Brex Card</li></ul> <p><em>Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.<br></em></p><p><a href='https://files.alpaca.markets/disclosures/AlpacaRecruitmentPrivacyPolicy.pdf'><em>Recruitment Privacy Policy</em></a></p>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
DuckDuckGo company logo
Staff Data Scientist
Sep 8
DuckDuckGo
Sep 8
All U.S.
Fully Remote
222k / Yr
<h2>Who We Are</h2><p>Hi, we're DuckDuckGo, the online protection company and remote-first team of 300+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, annual revenue now exceeds $100m USD and millions use our browser on on <a href='https://spreadprivacy.com/introducing-duckduckgo-for-mac/'>Mac</a>, <a href='https://spreadprivacy.com/windows-browser-open-beta/'>Windows</a>, <a href='https://spreadprivacy.com/duckduckgo-privacy-browser-ios14/'>iOS</a>, and <a href='https://spreadprivacy.com/introducing-app-tracking-protection/'>Android</a>, our <a href='https://duckduckgo.com/'>search engine</a>, and the <a href='https://duckduckgo.com/pro'>DuckDuckGo subscription</a>. We also offer private, useful, and optional AI, including <a href='https://duck.ai/'>Duck.ai</a>, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place. Our <a href='https://duckduckgo.com/how-we-work'>culture</a> of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place!</p><h2>Your Team and Role</h2><p>Working on the <strong>Data Science</strong> Functional Team, you'll drive product and business impact through improving our search engine ranking and results. Recent projects include:</p><ol><li><p><em>Improving first-phase ranking quality and precision without sacrificing latency</em></p></li><li><p><em>Developing new lexical-matching and document-authority signals</em></p></li><li><p><em>Expanding our search evaluations to measure relevancy readiness and surface ranking blindspots </em></p></li><li><p><em>Investigating LLMs for feature generation and ranking</em></p></li></ol><p>Our data meets rigorous privacy standards and is necessarily sparse, so you'll need to think creatively to surface actionable insights in an evidence-first culture where quantitative rigor is the baseline, not the exception.</p><h2>About You</h2><ul><li><p>You have 10+ years of experience in Data Science, with 2+ years at Staff, Principal, or Director level, and a track record of leading high-complexity projects from scoping to production with minimal direction.</p></li><li><p>You are comfortable advising others on complex data science work.</p></li><li><p>You can develop strategies for ambiguous, complex data science problems and turn them into a series of well-defined projects.</p></li><li><p>You have hands-on experience deploying ML in production, developing NLP solutions, and in AI-assisted development.</p></li><li><p>You write production-grade code in Python or a comparable high-level language.</p></li><li><p>You have advanced SQL and query optimization skills.</p></li><li><p>You collaborate effectively with product teams and contribute to overall team throughput.</p></li><li><p><u>Preferred experience:</u></p><ul><li><p>Running search-specific projects (ranking, retrieval, or indexing) from scoping to production</p></li><li><p>Working with large-scale search infrastructure (e.g. Vespa, Elasticsearch, OpenSearch, or Solr)</p></li></ul></li></ul><h2>Compensation</h2><p><strong>$222,033</strong> <strong>USD annually</strong> and stock options. Compensation is <a href='https://duckduckgo.com/how-we-work'>identical within professional levels</a>, regardless of geographic location or team. Compensation for each professional level is transparent across the organization. </p><p>Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.</p><p>Our<a href='https://duckduckgo.com/assets/hiring/team_support_guide.pdf'> Team Member Support Guide</a> explains how we prioritize your wellbeing including <strong>paid parental leave, office setup, </strong>and <strong>co-working allowances.</strong></p><h2>Hiring Process</h2><p>Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about <a href='https://duckduckgo.com/how-we-hire'><u>how we hire</u></a>.</p><h2>Diversity, Equity and Inclusion</h2><p>DuckDuckGo provides equal work opportunities to all team members and applicants<u>,</u> and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.</p><p>We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to <a href='mailto:[email protected]'><u>[email protected]</u></a> to let us know the nature of your request.</p><h2>Please note that:</h2><ul><li><p>You’ll be required to attend meetings on camera via video conferencing</p></li><li><p>Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend.</p></li><li><p>While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week.</p></li><li><p>A successful candidate must pass a background check as a condition of joining the team.</p></li><li><p>By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work.</p></li></ul><h2>Disclosure Statement: Use of AI in Hiring Process</h2><p>As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process.</p><p><strong>Key Principles:</strong></p><ul><li><p><strong>Data Privacy:</strong> All information provided in your application will be handled in accordance with our <a href='https://duckduckgo.com/static-assets/files/pages/careers/DuckDuckGo-Recruiting-Privacy-Policy-effective-September-30-2025.pdf'>Recruiting Privacy Policy</a>. We ensure that your personal information is protected and used solely for recruitment purposes.</p></li><li><p><strong>Human Oversight and Accountability:</strong> The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors.</p></li><li><p><strong>Transparency:</strong> We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us.</p></li></ul><p>By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at <a href='mailto:[email protected]'>[email protected]</a>. Thank you for your interest in joining DuckDuckGo!</p><p>#Li-dni</p>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
DoorDash company logo
Senior Security Data Engineer
Sep 8
DoorDash
Sep 8
All U.S.
Fully Remote
159.8k-235k / Yr
<h2>About the Team</h2> <p>At DoorDash, including international brands Deliveroo and Wolt, we’re building the industry’s most scalable and reliable delivery network to support our three-sided marketplace of consumers, merchants, and Dashers. Global Cyber Defense is a highly talented and globally distributed team that covers response, intelligence, insider risk, threat hunting, automation, and detection engineering. We exist to keep our brands safe for the Dashers, merchants, and consumers who depend on us. Our mission is to detect, investigate, and respond to cyber threats with speed and precision, while continuously hardening our defenses through automation, AI, and cross-regional collaboration. </p><h2>About the Role</h2> <p>Security at DoorDash, Deliveroo, and Wolt runs on telemetry, and our data pipelines team owns all of it. You will own multi-terabyte-per-day ingest across AWS and GCP, including reliability, cost, and schema, so that every detection engineer, threat hunter, and responder across three brands can find what they need. Most of your week goes to code, pipelines, and query performance rather than alert triage. The team spans the US and UK, so you will be in the room (or the thread) with IT, legal, privacy, incident response, insider risk, threat intelligence, and detection engineering on a regular basis. Very little of this work happens in isolation, and that is the fun of it. This role reports to the Senior Manager of Cyber Defense in the United States. The role includes participation in an on-call rotation for pipeline health.</p><h2>You’re excited about this opportunity because you will…</h2> <ul><li>Own multi-terabyte-per-day log pipelines across AWS and GCP: ingest, routing, enrichment, schema management, and onboarding new sources as the business adds them</li><li>Control ingest cost and volume, cutting noise at the edge without dropping the audit logs investigators depend on</li><li>Model security data and tune query performance in Snowflake, BigQuery, and Redshift, including the tables detection engineering builds on</li><li>Ship production services and integrations that other teams depend on: custom SIEM connectors, API clients, and automation</li><li>Set and defend SLOs for log availability and freshness, and build the dashboards and alerting that prove them</li><li>Own infrastructure as code and CI/CD for all of the above, including the deployment path that detections-as-code rides on</li><li>Build AI agents and automated runbooks that speed up triage and time to fix across cloud infrastructure</li><li>Enforce IAM and service account governance for the pipeline's cloud workloads</li><li>Lead cross-functional projects spanning infrastructure, platform engineering, and incident response</li><li>Create and maintain the standards and documentation that keep the service consistent, and mentor engineers across Cyber Defense</li></ul> <h2>We’re excited about you because you have…</h2> <ul><li>5+ years building and operating high-volume data pipelines in production at multi-terabyte-per-day scale, with tools like Kafka, Cribl, Dataflow, Kinesis, or CloudWatch</li><li>4+ years writing production software in Python, Go, Rust, or Java: services and tooling that other engineers run, beyond one-off scripts</li><li>Deep hands-on experience with AWS and GCP, including infrastructure as code and ownership of CI/CD pipelines on GitHub, GitLab, or Bitbucket</li><li>Strong SQL and data modeling in a columnar warehouse such as Snowflake, BigQuery, or Redshift, covering partitioning, cost control, and query tuning</li><li>A track record owning reliability for a platform other engineers depend on, including on-call</li><li>Experience building executive dashboards and engineering metrics that people actually act on</li><li>Proven leadership and technical project management across infrastructure, platform engineering, and incident response</li><li>Exceptional written and verbal communication, a collaborative instinct, and a habit of continuous learning</li><li>Familiarity with an enterprise SIEM as an operator or a consumer (Google SecOps/Chronicle, Splunk, Elastic, CrowdStrike LogScale) is a plus, as is time with Kubernetes, Docker, and runtime security controls</li><li>Any hands-on time with security telemetry sources, detections-as-code (YARA-L, Sigma, SPL), LLM-assisted workflows, penetration testing, red teaming, or triaging bug bounty reports is a bonus</li></ul><p><strong>Compensation</strong></p><p>The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.</p><p>In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.</p><p>DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.</p><p>To learn more about our benefits, visit our careers page <a href='https://careers.doordash.com/'>here</a>.</p><p>See below for paid time off details:</p><ul><li><strong>For salaried roles:</strong> flexible paid time off/vacation, plus 80 hours of paid sick time per year.</li><li><strong>For hourly roles:</strong> vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).</li></ul></p><p>The national base pay range for this position within the United States, including Illinois and Colorado.</p><p>$159,800&mdash;$235,000 USD</p><p><h2>About DoorDash</h2> <p>At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.<br><br>DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.</p><h2>Our Commitment to Diversity and Inclusion</h2> <p>We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.</p><p>Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.</p><p>Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.</p><p><strong>If you need any accommodations, please inform your recruiting contact upon initial connection.<br><br></strong></p><p>Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only</p><p>We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026.</p><p>The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here:<strong> <a href='https://getcovey.com/nyc-local-law-144'>https://getcovey.com/nyc-local-law-144</a>.<br></strong></p>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
Figma company logo
Director, Data Science
Sep 8
Figma
Sep 8
All U.S.
Remote & Hybrid Options
290k-376k / Yr
<p>Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!</p><p>The AI Product's Data Science org is at the center of the next generation of products at Figma, spanning Make, Figma Agent, Design Systems, and other areas. Data is critical to setting strategy and measurement across these areas. This org engages closely with AI Research and is a driving force behind our evals work and the future of product measurement at scale. With a charge to uplevel Figma’s use of data, the team works alongside other Data Scientists and Engineering to identify ways to implement and democratize new statistical methods, build data frameworks, and incorporate data within Figma’s product development process. This team contributes to the company’s goals by collaborating closely with product managers, engineers, and our finance team to uncover new opportunities, identify inefficiencies and recommend improvements through data-driven insights.<br><br>As Director, you will lead a team of data scientists and managers, setting the vision for how data shapes strategy across Figma's AI products. You'll work closely with Product, Engineering, Design, and Research leadership to embed data-driven thinking and modern AI-product measurement into how we build.<br><br>This is a full time role that can be held from one of our US hubs or remotely in the United States.</p><h2>What you’ll do at Figma:</h2> <ul><li>Lead, support, and grow a team of data scientists and data science managers with varied strengths and expertise focused on product strategy, internal tooling, and Impact measurement</li><li>Champion data quality, accessibility, and the democratization of data across the company</li><li>Establish trust within and across teams by creating accountability and a positive work environment in partnership with other leaders in the organization</li><li>Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact</li><li>Shape how we measure AI products: evals, quality, and experimentation for LLM-powered assistants and agents in partnership with AI Research</li></ul> <p><h2>We'd love to hear from you if you have:</h2> <ul><li>8+ years of experience managing and leading high output Data Science teams, with at least 2 years managing other managers</li><li>7+ years of experience working in AI, Data Science, or a related field</li><li>Proven experience building or measuring AI products, ideally LLM-powered assistants, agents, chatbots, or copilots</li><li>Demonstrated expertise in statistical methods, experimentation, and/or forecasting, with the technical curiosity to learn and grow alongside your team</li><li>Ability to scale teams in high-growth environments, with a desire to build an inclusive and diverse culture</li></ul> <h2>While not required, it’s an added plus if you also have:</h2> <ul><li>Experience owning 0 to 1 product areas</li></ul> <p>At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.</p><p><strong>Pay Transparency Disclosure</strong></p><p>Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. </p><p>Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.</p><p>Annual Base Salary Range:</p><p>$290,000&mdash;$376,000 USD</p><p>At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an <a href='https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf'>equal opportunity workplace</a> - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status<strong>, </strong>or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.</p><p>We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to <a href='mailto:[email protected]'>[email protected]</a>. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. </p><p>Examples of accommodations include but are not limited to: </p><ul><li>Holding interviews in an accessible location</li><li>Enabling closed captioning on video conferencing</li><li>Ensuring all written communication be compatible with screen readers</li><li>Changing the mode or format of interviews </li></ul> <p>To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.</p><p>By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with <a href='https://www.figma.com/legal/candidate-privacy-notice/'>Figma's Candidate Privacy Notice</a>.</p>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
Cohere company logo
Data Scientist, North Insights
Sep 8
Cohere
Sep 8
All U.S.
Remote & Hybrid Options
130k-260k / Yr
<p><strong>Who are we?</strong></p><p>Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.</p><p>We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.</p><p>We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.</p><p>We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!</p><p><strong>Why this role?</strong></p><p>We're building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most curious people to help us do it. As a Data Scientist on our Analytics and Data Insights team, you'll work on problems that don't have textbook answers yet; building the analytics that shape product and company strategy, designing the experiments that prove or kill our biggest bets, and helping enterprise customers understand what foundational AI actually means for their bottom line. You'll own analytical work end-to-end: from framing the right questions and building the models to shipping insights, tools, and results that product leaders, sales teams, and enterprise customers rely on.</p><p><strong>As a Data Scientist, you will:</strong></p><ul><li><p>Drive the mission forward.</p></li><li><p>Build bleeding-edge agentic analytics: Agentic analytics is far from a solved problem, and we want to be the company that solves it. We need the sharpest minds with the curiosity, drive, and focus required to build the tools necessary to bring order and clarity to real world data.</p></li><li><p>Define AI impact measurement: own the end-to-end analytics story around adoption, growth, and impact that North leadership uses to prioritize features by measured value rather than customer feedback alone.</p></li><li><p>Ship customer-facing analytics: insights that our enterprise customers recognize as evidence of value created.</p></li><li><p>Build small language models to categorize, classify, and enrich message data to give customers visibility into how their teams are using our products in their enterprise.</p></li><li><p>Design and run experiments: A/B tests, causal inference studies, and opportunity sizing that directly map to product and go-to-market decisions.</p></li><li><p>Build predictive models that matter: develop and deploy models for forecasting, segmentation, propensity scoring, and opportunity sizing across Cohere's core business lines.</p></li><li><p>Act like an owner: no waiting around. You'll define analytical priorities within your scope, push initiatives from question to production, and own what you build.</p></li></ul><p><strong>You may be a good fit, if you have:</strong></p><ul><li><p>Strong command of SQL, Python, and Git, alongside expertise in statistical inference, experimental design, and predictive modeling</p></li><li><p>A proven ability to turn ambiguous business questions into rigorous analytical problems, with clear and compelling recommendations to match</p></li><li><p>Experience building and deploying production models, not just notebook analysis. You know what it takes to get a classifier down the stack from prototype to production volume.</p></li><li><p>Familiarity with modern data stack tools such as BigQuery, dbt, Looker, or Airflow (nice to have, not essential)</p></li><li><p>Genuine excitement about AI: you follow the research, have opinions, and enjoy being in the weedsComfort operating in ambiguity, managing multiple workstreams across different stakeholders, and distilling insights into a concise, actionable narrative</p></li><li><p>A collaborative style grounded in empathy as much as in data; you work alongside product, research, sales, and finance, not in a silo</p></li></ul><p>If some of the above doesn't line up perfectly with your experience, we still encourage you to apply!</p><h2>Full-Time Employees at Cohere enjoy these Perks:</h2><ul><li><p>A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.</p></li><li><p>Full health and dental benefits, including a separate budget for mental health.</p></li><li><p>RRSP matching, 401K, Pension Scheme.</p></li><li><p>100% Parental Leave top-up for up to 6 months, for either parent.</p></li><li><p>Annual enrichment benefits:</p><p>Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.</p><p>Education & learning stipend for conferences, courses, and coaching.</p></li></ul><ul><li><p>6 weeks of paid vacation (30 working days!)</p></li><li><p>Budget for traveling to other offices if you are remote, plus an annual company offsite.</p></li></ul><h2>How and Where We Work:</h2><ul><li><p>Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.</p></li><li><p>For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.</p></li><li><p>For those not near an office: a co-working benefit so you can work alongside others in your city.</p></li><li><p>Everyone receives a $500 home office stipend to set up your workspace properly.</p></li></ul><p>If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. </p><p><br>We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an<a href='https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit'> Accommodations Request Form</a>, and we will work together to meet your needs.</p><p>We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.</p><p><em>Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our </em><a href='https://cohere.com/careers'><em>official careers</em></a><em> page.</em></p>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
Stripe company logo
Data Science Manager, Finance and Strategy
Sep 5
Stripe
Sep 5
All U.S.
Remote & Hybrid Options
<h2>Who we are</h2> <h2>About Stripe</h2> <p>Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.</p><h2>About the team</h2> <p><em>Finance and Strategy Data Science builds the forecasting models, data infrastructure, and analytics tools at the core of how Stripe measures and plans its business. The team owns everything from hierarchical time series and agentic forecasting tools that predict payment volumes and revenue margins, to the governed metrics platform that feeds company-wide dashboards and executive reporting. We partner closely with Finance and Strategy, GTM, and Product stakeholders to directly inform financial decisions across Stripe's entire business. The team combines technical depth, strategic thinking, and executive partnership that develops both technical and business expertise.</em></p><h2>What you’ll do</h2> <p>Data Science Managers at Stripe are responsible for the success of their team. You'll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You'll have a deep understanding of how to drive efficient data science teams and you'll have a strong user-focus. You'll be working with data scientists, analysts, and engineers on creating technical solutions and communicating effectively across teams and senior leadership.</p><h2>Responsibilities</h2> <ul><li>Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data-driven.</li><li>Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing.</li><li>Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe.</li><li>Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers.</li><li>Recruit and onboard great data scientists, in collaboration with Stripe's recruiting team.</li><li>Contribute to broad data science initiatives as a member of Stripe's data science management team.</li></ul> <h2>Who you are</h2> <p>We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.</p><h2>Minimum requirements</h2> <ul><li>You have at least 3 years of direct management experience leading data science or ML teams, and 10 years of overall data science experience.</li><li>You've demonstrated expertise in designing metrics and guiding business decisions with data.</li><li>You have technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions.</li><li>You've managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems.</li><li>You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.</li><li>You have clear and persuasive communication skills in writing and in speech.</li><li>You thrive on a high level of autonomy and responsibility.</li><li>You foster a healthy, inclusive, challenging, and supportive work environment.</li></ul> <h2>Preferred qualifications</h2> <ul><li>A PhD or MS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering)</li><li>You're comfortable working with geographically distributed teams.</li><li>Expertise in time series forecasting, predictive modeling, or optimization</li><li>Expertise in data design and building scalable data architectures</li></ul> <h2> </h2>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
Webflow company logo
Staff Data Engineer
Sep 3
Webflow
Sep 3
All U.S.
Fully Remote
186.5k-255k / Yr
<p>Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality.</p><p>We’re looking for a Staff Data Engineer who can take ownership of and drive key initiatives across Data Platform Engineering, including the data lake, event instrumentation, data quality, and data governance.</p><h2>About the role:</h2> <ul><li>Location: Remote-first (United States)</li><li>Full-time</li><li>Permanent</li><li>Exempt</li><li>The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills. <ul><li>United States (all figures cited below are in USD and pertain to workers in the United States)<br> <ul><li>Zone A: $212,500 - $255,000</li><li>Zone B: $200,000 - $240,000</li><li>Zone C: $186,500 - $224,000</li></ul> </li></ul> </li></ul> <p>This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals. </p><p>Please visit our <a href='https://webflow.com/careers#pay-zones'>Careers page</a> for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.</p><ul><li>Application Information: <ul><li>Application deadline: applications accepted on an ongoing basis until position is closed and filled</li><li>This posting is for an existing vacancy</li></ul> </li><li>Reporting to the Manager, Data Engineering</li></ul> <p>As a Staff Data Engineer, you'll…</p><ul><li>Design data solutions across batch, streaming, and real-time workloads.</li><li>Design and build reliable data pipelines using Spark, Kafka, Iceberg, and Airflow/MWAA.</li><li>Contribute to the evolution of data lake and data platform, including ingestion, processing, storage, and serving patterns.</li><li>Build, maintain and scale cloud data infrastructure that includes Kafka, Airflow, Druid, EMR on EKS with reliability and observability in mind.</li><li>Implement and improve data quality, observability, reliability, and governance across data pipelines and systems.</li><li>Define and improve standards for event instrumentation and governance, including event schemas, validation, and schema evolution.</li><li>Build platform solutions for centralized PII handling, data retention, deletion, and residency to support GDPR and CCPA requirements.</li><li>Build agent harness capabilities that encode data engineering standards, pipeline patterns, and quality gates into AI tools, enabling agents to safely generate, review, and operate on data platform code.</li><li>Contribute hands-on to complex technical initiatives, troubleshoot production issues, mentor engineers, and collaborate with Analytics Engineering and other teams.</li><li>Build agent harnesses that embed data engineering standards, pipeline patterns, and quality gates into AI-assisted development workflows.</li></ul> <h2>About you:</h2> <p>Requirements:</p><ul><li>BA/BS degree or equivalent experience</li><li>5+ years of experience in data engineering, building and operating production data pipelines and platforms.</li><li>Strong experience with Spark and distributed data processing, including designing and optimizing production data pipelines.</li><li>Experience designing batch, real-time, and streaming data solutions using technologies such as Kafka, Spark Structured Streaming, and CDC.</li><li>Experience implementing data quality, observability, and reliability across production data systems.</li><li>Experience with cloud data infrastructure, CI/CD, and infrastructure-as-code.</li><li>Demonstrated experience leading complex data engineering initiatives end-to-end, from technical design and decomposition through implementation and production.</li><li>Strong Programming and SQL skills, with experience building reliable and maintainable data systems.</li></ul> <p>You’ll thrive as a Staff Data Engineer if you:</p><ul><li>Can navigate ambiguous problems, evaluate architectural tradeoffs, and make pragmatic technical decisions.</li><li>Think beyond individual pipelines and consider the end-to-end data ecosystem, from data producers through downstream consumers.</li><li>Bring experience with data governance and privacy, including PII management, retention, deletion, data residency, GDPR, or CCPA.</li><li>Bring experience with event instrumentation and governance, including event schemas, validation, and schema evolution.</li><li>Collaborate with engineers on complex technical problems and help establish practical engineering best practices.</li><li>Embrace AI and emerging technologies, applying them in your development workflow and helping the team adopt new tools through shared learnings and best practices.</li><li>Stay curious and open to growth demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.</li></ul> <h3>Our Core Behaviors:</h3> <ul><li><strong>Build lasting customer trust.</strong> We build trust by taking action that puts customer trust first.</li><li><strong>Win together.</strong> We play to win, and we win as one team. Success at Webflow isn't a solo act.</li><li><strong>Reinvent ourselves. </strong>We don't just improve what exists, we imagine what's possible.</li><li><strong>Own it all the way. </strong>We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.</li></ul> <h3>Benefits</h3> <ul><li><strong>Ownership in what you help build.</strong> Every permanent Webflower receives equity (RSUs) in our growing, privately held company.</li><li><strong>Health coverage that actually covers you.</strong> Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.</li><li><strong>Support for every stage of family life</strong>. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.</li><li><strong>Time off that’s actually off. </strong>Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.</li><li><strong>Wellness for the whole you. </strong>Access to mental health resources, therapy and coaching.</li><li><strong>Invest in your future. </strong>A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. </li><li><strong>Monthly stipends that flex with your life.</strong> Localized support for work and wellness expenses — from Wi-Fi to workouts.</li><li><strong>Bonus for building together. </strong>All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.</li></ul> <p><em>Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.</em></p><h3>Remote, together</h3> <p>At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are <a href='https://webflow.com/diversity-equity-inclusion'>committed</a> to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.</p><h3>Stay connected</h3> <p>Not ready to apply, but want to be part of the Webflow community? Consider following our story on our <a href='https://webflow.com/blog'>Webflow Blog</a>, <a href='https://www.linkedin.com/company/webflow-inc-/'>LinkedIn</a>, <a href='https://twitter.com/webflow'>X (Twitter)</a>, and/or <a href='https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm'>Glassdoor</a>. </p><h3>Please note:</h3> <p><em>We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be administered.</em></p><p><em>To join Webflow, you'll need a valid right to work authorization depending on the country of employment.</em></p><p><em>If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.</em></p><p><em>For information about how Webflow processes your personal information, please review </em><a href='https://webflow.com/legal/applicant-privacy-notice'><em>Webflow’s Applicant Privacy Notice</em></a><em>. </em></p>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
Airbnb company logo
Lead, Advanced Analytics, Payments
Aug 29
Airbnb
Aug 29
All U.S.
Fully Remote
164,000 - 191,000 / Yr
<p>Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.</p><h2>The Community You Will Join</h2> <p>We are seeking a highly skilled and experienced professional to join our team as the Payments Insights Analytics Lead. In this role, you will play a critical part in executing the strategic direction of Airbnb's Payments operations.</p><p>Within this role, you will enable, facilitate, and assist in streamlining integrated data-driven decision making across the Payments Platform, Product, Operations organizations. The team is committed to operational excellence and Host and Guest experience through a culture of problem-solving, guided by data and research. We inject quantitative measurements into our user journey, product, processes and implement objective indicators of success. You will collaborate in the development and implementation of policies and procedures related to receiving and processing funds. Oversee the day to day operations in partnership with finance across collection, reconciliation and settlement (e.g., timely processing of payments motioning systems for issues). Collaboration will be a key aspect of this role, as you will work closely with cross-functional teams to drive process improvements and streamline payments data globally. Your ability to effectively communicate and build relationships with stakeholders at all levels of the organization will be essential in achieving our goals.</p><h2>The Difference You Will Make</h2> <ul><li>You are passionate about solving complex problems within the Payments domain using data, insights, AI/ML models, and experimentation; adding a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis</li><li>You are highly proficient in building and analyzing analytical frameworks, statistical models and experimentation methods to establish and communicate causal relationships and drive measurable impact.</li><li>You are a storyteller and technician that translates deeply technical analyses, and experimental results into compelling narratives that drive strategic business influence</li><li>Ability to create impact for key projects at the eTeam direct level by iInfluencing strategy and roadmap through data-backed storytelling and actionable recommendations.</li></ul> <h2>A Typical Day</h2> <ul><li>Generating payment reports and analyzing payment data for insights and performance evaluation</li><li>Provide regular updates and reports to management and stakeholders, translating complex technical findings into business-friendly narratives and recommendations for leadership.</li><li>Assist with analyzing payment performance and health, triaging the issue, and provide recommendation on the best course solution and optimization</li><li>Design, execute, and analyze experiments to evaluate the impact of Payment strategies, product changes, and process improvements. </li><li>You will collaborate on Financial Risk Management including losses, chargebacks and other cost components, and automation of payments processes</li><li>Assist with initiatives to optimize the end-to-end payments journey by identifying pain points, friction areas, and improvement opportunities</li><li>Collaborate with driving Host and Guest advocacy to enhance payment experience, amplifying voices and addressing concerns with impactful and measurable results</li><li>Assist with building new payment strategies to balance financial risk and experience for different seller segments by utilizing advanced data analytics, AI/ML techniques to inform strategic decision-making</li><li>Leverage experience across adjacent payment risk domains (trust &amp; safety, identity, fraud, compliance) to bring cross-functional insights and identify systemic patterns or opportunities.</li><li>Stay abreast of industry trends, emerging technologies, and regulatory changes in the payments landscape. Proactively identify opportunities for innovation</li><li>Monitor payment trends, identify areas for improvement and implement strategies to optimize payments processing. </li><li>Provide guidance to platform to maintain a robust and reliable payments infrastructure, contributing to the overall financial health of the business </li></ul> <h2>Your Expertise</h2> <ul><li>8+ years of industry experience in business analytics and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).</li><li>Have experience supporting Payments teams and/or have worked closely with payments organizations, with demonstrated exposure to multiple payment risk domains such as trust &amp; safety, identity verification, fraud prevention, chargebacks, regulatory compliance, and financial risk management.</li><li>Expert skills in SQL and expert in at least one programming language for data analysis (Python or R). </li><li>Experience with non-experimental causal inference methods, experimentation and machine learning techniques, ideally in a multi-sided platform setting</li><li>Working knowledge of schema design and high-dimensional data modeling (ETL framework like Airflow)</li><li>Exceptional communication and storytelling skills, you can distill highly technical work (model outputs, experimental results, complex data analyses) into clear, actionable insights for senior leadership and business stakeholders.</li><li>Ability to work under conditions of ambiguity in a fast-growth, sometimes uncertain and complex environment - comfortable acting with minimal planning, direction, and supervision. You can identify issues both within and outside of your immediate scope, and propose solutions.</li></ul> <h2>Your Location:</h2> <p>This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. <a href='https://careers.airbnb.com/'>Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list</a> If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.</p><h2>Our Commitment To Inclusion &amp; Belonging:</h2> <p>Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.</p><p>We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: <a href='mailto:[email protected]'>[email protected]</a>. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. </p><p>We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.</p><p><h2>How We'll Take Care of You:</h2> <p>Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. </p><p>Pay Range</p><p>$164,000&mdash;$191,000 USD</p>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
DoorDash company logo
Manager, Data & Analytics, In-Store
Aug 27
DoorDash
Aug 27
All U.S.
Remote & Hybrid Options
141,400 - 208,000 / Yr
<h2>About the Team</h2> <p>The SevenRooms Data &amp; Analytics team is the foundational data hub for the SevenRooms business — owning the pipelines, models, dashboards, and predictive systems that power decisions across GTM, Product, Finance, and Partnerships. We sit at the intersection of SevenRooms and the broader DoorDash data ecosystem, and we partner globally with teams across the US, UK, UAE, and Australia supporting all customer segments from SMB through Enterprise. We design and maintain the pipelines, models, and infrastructure that connect SevenRooms' systems with the broader DoorDash data ecosystem — and we're investing aggressively in making our datasets ready for both human and AI consumption. </p><h2>About the Role</h2> <p>We're hiring a Manager of Data &amp; Analytics to lead the SevenRooms D&amp;A team — a team of six (and growing to eight) analysts and engineers responsible for the data products, AI systems, and reporting infrastructure that the rest of the business runs on. You will be both a people leader and a senior technical voice in the room: coaching analysts and engineers on their craft, owning the data roadmap end-to-end, partnering with executive stakeholders across geographies and segments, and rolling up your sleeves on the highest-complexity work. In your first 90 days, you will absorb the team's in-flight roadmap, build trust with stakeholders across S&amp;O, GTM, Product, Finance, and Partnerships, and partner with leadership on the prioritization framework that governs what the team takes on next. Our 2026 roadmap spans the full data value chain: GenAI agents that audit Salesforce in real time, churn and ICP models that drive CSM and AE prioritization, the MRR/ARPV reporting layer that finance and leadership run the business on, and the Netsuite integration that will modernize how we report revenue. </p><p>You will report into the Senior Manager, Strategy &amp; Operations in our In-Store organization.</p><h2>You’re excited about this opportunity because you will…</h2> <ul><li>Lead, coach, and grow a team of senior analysts and BI engineers — running performance, career development, and hiring end-to-end.</li><li>Own the D&amp;A roadmap across GTM, Product, Finance, and Partnerships, balancing the team's investment between predictive AI/ML systems, traditional reporting, and cross-functional analytics.</li><li>Act as the senior data voice in executive conversations — translating business problems into technical scope, pushing back when a request is the wrong shape, and influencing how leaders across segments make decisions.</li><li>Translate narrow, well-defined GTM problems into shipped solutions — designing prompts, integrating with Salesforce and our GTM stack via APIs, and instrumenting the leading indicators that prove ROI.</li><li>Partner closely with GTM Engineering, GTM Systems, and Revenue Insights to define a clean 'Build vs. Run' operating model and unlock the next generation of AI-powered GTM products.</li><li>Contribute to the team-wide AI developer infrastructure (skills libraries, MCP integrations, prompt frameworks) that makes every D&amp;A engineer and analyst faster at deploying AI.</li><li>Help establish the technical patterns and reusable components that will power our next generation of GTM AI products as the function scales.</li></ul> <h2>We’re excited about you because…</h2> <ul><li>6+ years of experience in data analytics, BI engineering, or analytics engineering in a B2B SaaS environment, with demonstrated technical depth in SQL, DBT, and a modern cloud data warehouse (Snowflake or BigQuery).</li><li>2+ years of people management experience leading a team of analysts, engineers, or a hybrid of both — including hiring, performance management, and career development.</li><li>Hands-on experience owning enterprise data infrastructure (Looker or equivalent BI tooling, DBT modeling at scale, Salesforce-to-warehouse pipelines) and the judgment to know when to invest in foundations versus ship for speed.</li><li>Proven track record of partnering with executive stakeholders across functions — translating ambiguous business problems into scoped technical work, and pushing back constructively when scope or data readiness is the real blocker.</li><li>Working fluency with modern AI and ML approaches (predictive modeling, LLM-powered workflows, the GenAI tooling ecosystem) and the ability to mentor a team building production AI systems.</li><li>Strong written and verbal communication skills, including the ability to lead distributed teams across multiple time zones and represent the team in senior cross-functional forums.</li></ul> <p><strong>Compensation</strong></p><p>The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.</p><p>In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.</p><p>DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.</p><p>To learn more about our benefits, visit our careers page <a href='https://careers.doordash.com/'>here</a>.</p><p>See below for paid time off details:</p><ul><li><strong>For salaried roles:</strong> flexible paid time off/vacation, plus 80 hours of paid sick time per year.</li><li><strong>For hourly roles:</strong> vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).</li></ul></p><p>The national base pay range for this position within the United States, including Illinois and Colorado.</p><p>$141,400&mdash;$208,000 USD</p><p><h2>About DoorDash</h2> <p>At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.<br><br>DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.</p><h2>Our Commitment to Diversity and Inclusion</h2> <p>We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.</p><p>Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.</p><p>Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.</p><p><strong>If you need any accommodations, please inform your recruiting contact upon initial connection.<br><br></strong></p><p>Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only</p><p>We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026.</p><p>The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here:<strong> <a href='https://getcovey.com/nyc-local-law-144'>https://getcovey.com/nyc-local-law-144</a>.<br></strong></p>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
The New York Times company logo
Director, Data and Insights, Growth
Aug 26
The New York Times
Aug 26
All U.S.
Remote & Hybrid Options
156,000 - 185,000 / Yr
<p><strong>The <a href='https://www.nytco.com/mission-and-values/'><u>mission</u></a> of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. </strong></p><p>The Times is seeking an innovative analytics director who is passionate about data and eager for the opportunity to support the Times journalistic mission.</p><p>As part of the Data and Insights Group (DIG), you will join a large community of talented data leaders who partner with Product, Engineering, Design, and PMO teams across the business. In this role, you’ll be responsible for bringing insight and visibility to the performance of our subscription funnel. You will lead the roadmap and strategic direction for Growth Conversion analytics. You will provide leadership and guidance to teams, establish key performance indicators, and leverage data-driven insights to drive results and uncover opportunity. This is a people leader role requiring a player-coach mentality. You will report to the VP, Growth Analytics. </p><h2>Responsibilities:</h2> <ul><li>You will define your team’s data strategy and own the creation and execution of solutions across the team</li><li>You will manage multiple, and at times simultaneous, projects from start to finish, balancing impact, scope and speed, to get the data and insight in a timely manner.</li><li>You will create novel insights, advocate for them, and lead them into action</li><li>You will oversee team deliverables and represent the team’s work and impact at the executive level </li><li>You will democratize data and insights through skillful data structuring and use of visualization tools</li><li>You will navigate through ambiguity and organizational structures to advise stakeholders on how to best evaluate and implement initiatives from a data perspective</li><li>You will leads, hire, onboard, and develop talent, careers, and culture of analytics within your team</li><li>You will proactively lead data projects by fostering collaboration, building consensus and driving initiatives to successful completion</li><li>You will demonstrate support and understanding of our<a href='https://www.nytco.com/company/mission-and-values/'> value of journalistic independence</a> and a strong commitment to our mission to seek the truth and help people understand the world.</li></ul> <h2>Basic Qualifications</h2> <ul><li>8+ years of experience working with data analytics or data science teams to deliver reporting, analysis and insight or a quantitative degree</li><li>Proficiency in SQL and experience working with relational databases</li><li>3+ years of people management experience </li><li>Experience with data visualization tools such as Mode, Tableau, or Lookr</li></ul> <h2>Preferred qualifications:</h2> <ul><li>Familiarity with Google BigQuery, AWS, or other big data environments </li><li>Comfort with version control (Github, code review)</li><li>Experience leading product or subscription analytics strategy</li><li>5+ years of experience communicating key insightscross-functionally(written, visually and verbally)- </li></ul> <p>Req-020258</p><p>The annual base pay range for this role is between:</p><p>$156,000&mdash;$185,000 USD</p><p>For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs. </p><p>For roles outside of the U.S., information on benefits will be provided during the interview process.</p><p>We’re excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview process.</p><p>If you’re an Engineering candidate, we’ll let you know what specific GenAI tools you are permitted to use for your technical assessment.</p><p>The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.</p><p>We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available <a href='https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal'>here</a>. </p><p>The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email [email protected]. Emails sent for unrelated issues, such as following up on an application, will not receive a response.</p><p>The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable 'Fair Chance' laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.</p><p>For information about The New York Times' privacy practices for job applicants click <a href='https://nytco-assets.nytimes.com/2020/06/NYT_Applicant_Privacy_Policy.pdf'>here</a>.</p><p>Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through <a href='https://www.nytco.com/careers/'>The New York Times careers site</a>. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.</p><p>If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at [email protected]. You can also file a report with the <a href='https://reportfraud.ftc.gov/#/'>Federal Trade Commission</a> or your <a href='https://www.consumerresources.org/file-a-complaint/'>state attorney general</a>.</p>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
Customer.io company logo
Senior Manager, Data Science & Analytics
Aug 23
Customer.io
Aug 23
All U.S.
Fully Remote
170,000 - 200,000 / Yr
<h2>About <a href='http://Customer.io'>Customer.io</a></h2> <p>Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. <a href='http://Customer.io'>Customer.io</a> powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.</p><h2>About the role</h2> <p>Hi, my name is Michael, Head of Data and Analytics at Customer.io, and I’m looking for a <strong>Manager, Data Science &amp; Analytics</strong> to lead and evolve <a href='http://Customer.io'>Customer.io</a>'s internal data science &amp; analytics function. This team serves as a strategic partner across Product, Marketing, Sales and Customer Experience organizations, helping the company make better decisions through forecasting, experimentation, behavioral analytics, and rigorous measurement.</p><p>In this role, you'll lead a team responsible for delivering business value through the applied use of data. You'll partner closely with leaders across the company to guide decisions, define success metrics, improve customer and product experiences, and drive operational efficiencies.</p><p>Success in this role requires strong leadership, analytical and technical rigor, and business acumen. We view our data team as more than a reporting function, and as a trusted advisor to the business - bringing clarity through ambiguity, uncovering opportunities, and helping <a href='http://Customer.io'>Customer.io</a> move faster and operate smarter as we scale.</p><h2>What we value</h2> <p><strong>Business impact through data:</strong> We focus on delivering value over reporting and find the right balance between technical rigor and business pragmatism.</p><p><strong>Strategic partnership:</strong> We bring ideas to the table and help our partners shape priorities, challenge assumptions, and identify opportunities — not just respond to requests.</p><p><strong>Ownership and rigor:</strong> We hold ourselves to a high standard, sweating the details and ensuring our analyses, assumptions, and recommendations are accurate, trustworthy, and actionable.</p><p><strong>Leadership and development:</strong> We believe great teams are built through coaching, challenge, and continuous growth, helping people do the best work of their careers.</p><h2>What you'll do</h2> <ul><li>Lead and develop a team of Data Scientists and Analysts supporting Product, Marketing, Sales, and Customer Experience.</li><li>Lead behavioral analytics, customer segmentation, experimentation, and product measurement efforts, helping teams understand customer behavior, evaluate product performance, and prioritize roadmap investments.</li><li>Develop and maintain revenue forecasts, churn models, customer health scores, and account or opportunity scoring models used across the business.</li><li>Partner with our data engineering team to manage our internal agentic data analytics platform, Smarty, supporting self-serve data access and analytics.</li><li>Define standards and best practices for analytics and data science, and refine operational frameworks to drive efficiency and scale across the team.</li></ul> <h2>What we're looking for</h2> <ul><li>7+ years of experience in Data Science, Analytics, Product Analytics, or a related quantitative field, including experience leading and developing high-performing teams.</li><li>Strong expertise in experimentation, forecasting, statistical analysis, and product or business analytics.</li><li>Advanced SQL skills and proficiency with Python or similar analytical tools.</li><li>Experience defining metrics, measurement frameworks, and analytical approaches that support product, growth, and business decision-making.</li><li>Demonstrated ability to partner with senior leaders, influence strategy, and communicate complex findings clearly to technical and non-technical audiences.</li><li>Comfortable balancing strategic leadership with hands-on analytical work when needed.</li><li>Experience working with modern analytics platforms and data warehouses, including Snowflake, dbt, and product analytics tools.</li><li>Experience in B2B SaaS, PLG, or subscription-based businesses preferred.</li><li>Based in the Americas, remote-friendly.</li></ul> <h2>Why this role</h2> <p>You'll have real ownership - of a team, of a data function, and of a company that's actively building toward an AI-native analytics future. This isn't a reporting shop. You'll have a seat at the table with senior stakeholders and the latitude to shape how data drives decisions at <a href='http://Customer.io'>Customer.io</a>.</p><h2>Compensation &amp; Benefits</h2> <p>We believe in transparency. Starting salary for this role is <strong>$170,000 - $200,000 Usd</strong> depending on experience and subject to market rate adjustment.</p><p>We know our people are what make us great, and we're committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including <strong>100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family</strong>. We also offer <strong>16 weeks paid parental leave, unlimited PTO</strong>, stipends for remote work and wellness, a professional development budget, and more.</p><p><a href='https://customer.io/careers'>See full benefits here →</a></p><h2>Our Process</h2> <p>No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.</p><ul><li>30-minute video call with Recruiter</li><li>45-minute video call with Hiring Manager</li><li>Three 30-minute video calls with team members</li><li>Take-Home Assignment + Review call with the full panel</li></ul> <p>All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.</p><p><a href='http://Customer.io'>Customer.io</a> recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.</p><p>Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official <a href='http://Customer.io'>Customer.io</a> letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact <a href='mailto:[email protected]'>[email protected]</a>.</p><h2>Join us!</h2> <p>Check out our <a href='https://customer.io/careers/'>careers page</a> for more information about why you should come work with us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you're excited by what you read — apply now.</p>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
Figma company logo
Data Scientist, Core Data - PhD (2026)
Jul 16
Figma
Jul 16
All U.S.
Remote & Hybrid Options
170,000 - 178,000 / Yr
<p>Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!</p><p>We're looking for a research-minded Data Scientist to join the Core Data team. This team is a group of analytics professionals and Engineers building the foundational platforms for data science at Figma. We build the experimentation, analytics, and AI tooling that every product team relies on to make confident, data-driven decisions, partnering closely with Data Infra, ML, and Applied Science to evolve our platforms and embed AI into the daily workflows of data scientists across the company.</p><p>This role is for someone who thrives at the intersection of rigorous research and real-world impact. You'll bring PhD-level depth to problems that matter. This includes advancing our experimentation platform and developing machine learning-based analytical systems. You will also help craft how we measure AI-powered features through causal inference and statistical modeling. </p><p>This is a full time role that can be held from one of our US hubs or remotely in the United States. </p><h2>What you'll do at Figma:</h2> <ul><li>Partner across teams to define and track important metrics, develop experiments, and uncover insights that inform strategic decisions </li><li>Accelerate Figma's experimentation platform and methodology, including A/B testing frameworks and causal inference techniques</li><li>Construct models and analytical frameworks based on machine learning to support product, platform, and business initiatives </li><li>Create tools, datasets, and systems that enable others to work with data more efficiently and rigorously</li><li>Complete and own complex data projects end-to-end, from problem prioritisation to solution delivery </li><li>Drive data quality, accessibility, and the democratization of data across the organization</li></ul> <h2>We’d love to hear from you if you have:</h2> <ul><li>PhD in a quantitative field (Statistics, Computer Science, Economics, Operations Research, Physics, or related) with a strong foundation in statistical methods, experimentation, and/or machine learning</li><li>Fluency in SQL and proficiency in a scripting language like Python or R, with exposure to distributed data systems (e.g. Snowflake) through research or internships</li><li>Ability to communicate technical concepts clearly to both technical and non-technical audiences</li><li>A curious and rigorous mindset, with a passion for translating research into real-world impact</li></ul> <h2>While it’s not required, it’s an added plus if you also have:</h2> <ul><li>Publications or research experience in experimentation or applied ML; industry internship experience applying data science to product or business problems</li><li>An AI-native mindset, with exposure to or interest in LLM analytics, AI product measurement, or evaluating the impact of AI-powered features</li><li>A self-starter attitude and the ability to thrive in ambiguous and fast-paced environments</li></ul> <p>At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.</p><p><h2>Pay Transparency Disclosure</h2> <p>If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. </p><p>Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information. </p><p>Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental &amp; vision, retirement with company contribution, parental leave &amp; reproductive or family planning support, mental health &amp; wellness benefits, generous PTO, company recharge days, a learning &amp; development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future.</p><p>Annual Base Salary Range:</p><p>$170,000&mdash;$178,000 USD</p><p>At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an <a href='https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf'>equal opportunity workplace</a> - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status<strong>, </strong>or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.</p><p>We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to <a href='mailto:[email protected]'>[email protected]</a>. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. </p><p>Examples of accommodations include but are not limited to: </p><ul><li>Holding interviews in an accessible location</li><li>Enabling closed captioning on video conferencing</li><li>Ensuring all written communication be compatible with screen readers</li><li>Changing the mode or format of interviews </li></ul> <p>To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.</p><p>By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with <a href='https://www.figma.com/legal/candidate-privacy-notice/'>Figma's Candidate Privacy Notice</a>.</p>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
Alpaca company logo
Director of Data
Jul 9
Alpaca
Jul 9
All U.S.
Fully Remote
<h2>Who We Are:</h2><p>Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series D funding round brought our total investment to over $320 million, fueling our ambitious vision.</p><p>Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 9 million brokerage accounts.</p><p>Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of <strong>opening financial services to everyone on the planet</strong>. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.</p><p>Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator.</p><h2>Our Team Members:</h2><p>We're a dynamic team of 380+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!</p><p>We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.</p><h2>Your Role:</h2><p>We are looking for a Head of Data to lead Alpaca’s ~15-person data department across Platform Engineering, Analytics Engineering, and Data Science. You will own the data strategy, the team’s execution, and the department’s roadmap.</p><p>The Data department serves every function at Alpaca: it powers partner invoicing and revenue attribution, provides the analytical foundation for sales, product, and compliance, and operates the data platform that processes hundreds of millions of events daily. You will manage three team leads, balancing operational delivery (invoicing, embedded analytics, regulatory reporting) with strategic bets (self-service warehouse, AI-powered analytics, enterprise search).</p><p>This is a player-coach role. You will set direction for the team while staying close enough to the technical details to make architecture decisions, unblock your leads, and represent data’s capabilities to the executive team.</p><h2>Things You Get To Do:</h2><ul><li>Lead and develop three sub-teams: Platform Engineering &amp; ETL, Analytics Engineering, and Data Science &amp; Analytics. Manage leads, set priorities, and ensure delivery.</li><li>Own the Data Lakehouse architecture: Trino, Iceberg/GCS, Airflow, Airbyte, Redpanda CDC, dbt. Make build-vs-buy decisions on tooling.</li><li>Drive partner invoicing accuracy and evolution: ensure invoicing logic is versioned, reproducible, and scales with new pricing mechanisms and product launches.</li><li>Deliver embedded analytics: expose warehouse data to partners via BrokerDash, SSR pipelines, and API-based reporting. Own row-level security and entitlements.</li><li>Support product launches with data change management: coordinate data impact analysis for new products (fixed income, global stocks, perps, 24/5 trading) across downstream datasets, dashboards, and reverse ETL.</li><li>Accelerate self-service: move the organization toward self-serve analytics via semantic layers, data catalogues, and conversational BI so the data team can shift from ad-hoc queries to strategic projects.</li><li>Guide AI/ML enablement: oversee enterprise AI search, agent-based workflow automation, and LLM-powered analytics. Help balance vendor solutions with in-house development.</li><li>Collaborate with Finance, Sales, Product, Compliance, and Customer Success to translate business needs into data products.</li><li>Manage infrastructure costs: keep data + cloud cost ratio under target as AUC grows.</li><li>Operate production systems: own on-call processes, incident response, and SLOs for data freshness, accuracy, and availability.</li></ul><h2><strong>Who You Are (Must-Haves):</strong></h2><ul><li>8+ years in data engineering or analytics, including 3+ years managing data teams (leads + ICs).</li><li>Deep experience with modern data stack: dbt, Trino/Presto or equivalent query engines, Apache Iceberg or similar table formats, cloud object storage.</li><li>Hands-on experience with ETL/ELT patterns at scale: CDC (Debezium/Kafka), batch (Airflow/dbt), streaming, and reverse ETL.</li><li>Track record of building self-service analytics capabilities for non-technical stakeholders.</li><li>Experience with financial data: trading, invoicing, revenue attribution, or regulatory reporting in fintech or financial services.</li><li>Proficiency in Python and SQL. Comfortable reading code, reviewing PRs, and making architecture decisions.</li><li>Experience managing distributed/remote teams across multiple time zones.</li><li>Strong stakeholder management: you can translate between executive priorities and engineering execution.</li><li>Experience with GCP (GKE, GCS, BigQuery migration), Kubernetes, Helm, Terraform.</li></ul><p><strong>Who You Might Be (Nice-to-Haves):</strong></p><ul><li>Experience with brokerage or broker-dealer operations (clearing, settlement, market making, reconciliation).</li><li>Familiarity with LLM/AI tooling: MCP, vector databases, enterprise search, conversational BI (WrenAI, Cube).</li><li>Background in compliance analytics (AML/Actimize, KYC, margin calls).</li><li>Exposure to open-source data catalogues (OpenMetadata, Collate) and data quality frameworks.</li></ul><h2>How We Take Care of You:</h2><ul><li>Competitive Salary &amp; Stock Options</li><li>Health Benefits</li><li>New Hire Home-Office Setup: One-time USD $500</li><li>Monthly Stipend: USD $150 per month via a Brex Card</li></ul><p><em>Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.</em></p><p>Recruitment Privacy Policy</p>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
Figma company logo
Data Scientist, Finance
Jul 6
Figma
Jul 6
All U.S.
Remote & Hybrid Options
140,000 - 348,000 / Yr
<p>Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!</p><p>Figma is growing our Finance Data Science team at a pivotal moment in the company's evolution. As a public company, the accuracy, scalability, and sophistication of our financial data systems have never been more important. At the same time, Figma's business continues to evolve through new products, AI-powered offerings, acquisitions, and emerging revenue models.</p><p>We're looking for a Finance Data Scientist to help build the data foundation that powers financial reporting, forecasting, strategic decision-making, and investor communications. In this role, you'll partner closely with Strategic Finance, Accounting, Investor Relations, Engineering, Product, and Data teams to ensure our financial metrics are accurate, actionable, and trusted across the business.</p><p>This is a unique opportunity to work at the intersection of finance, analytics, data engineering, and business strategy—helping shape how Figma measures and communicates its performance as the company scales. The data and systems built by this team directly support executive decision-making, public company reporting, and Figma's long-term growth strategy.</p><p>This is a full time role that can be held from one of our US hubs or remotely in the United States.</p><h2>What you'll do at Figma:</h2> <ul><li>Own and improve the data models that power Figma's financial reporting, including ARR, revenue, billings, collections, and other key business metrics</li><li>Build scalable reporting systems, forecasts, and analytical frameworks that support Finance, Accounting, Investor Relations, and executive leadership</li><li>Drive data accuracy and completeness across month-end, quarter-end, and year-end close processes alongside Strategic Finance and Accounting teams</li><li>Collaborate with Engineering, Product, GTM Systems, and Financial Systems teams to ensure the completeness and accuracy of financial data</li><li>Conduct deep-dive analyses that inform strategic decisions and uncover opportunities to improve business performance</li><li>Define, measure, and operationalize key financial and operational metrics</li><li>Design and implement durable data solutions that balance immediate stakeholder needs with long-term scalability</li><li>Serve as a trusted thought partner to Finance leaders, helping guide reporting, forecasting, and decision-making across the business</li></ul> <h2>We'd love to hear from you if you have:</h2> <ul><li>3+ years of experience in Data Science, Analytics, Finance, Financial Systems, Data Engineering, or a related field</li><li>Advanced SQL skills and strong proficiency in Python or a similar programming language</li><li>Experience supporting Finance, Accounting, Strategic Finance, FP&amp;A, Investor Relations, or other finance-focused stakeholders</li><li>Demonstrated ability to translate complex data into clear, actionable business insights for non-technical stakeholders</li><li>Experience working independently and driving projects from ambiguity to execution</li></ul> <h2>While it's not required, it's an added plus if you also have:</h2> <ul><li>Experience with SaaS, subscription-based, usage-based, or consumption-based business models</li><li>Knowledge of accounting concepts and revenue recognition principles (ASC 606)</li><li>Experience with modern analytics and data engineering tools such as DBT, Snowflake, Git, Spark, Presto, or similar technologies</li><li>Experience supporting IPO readiness, public company reporting, SOX controls, audits, or other major corporate milestones</li><li>Background in Strategic Finance, FP&amp;A, Accounting, Investment Banking, Consulting, or related fields</li></ul> <p>At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.</p><p><h2>Pay Transparency Disclosure</h2> <p>If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. </p><p>Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information. </p><p>Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental &amp; vision, retirement with company contribution, parental leave &amp; reproductive or family planning support, mental health &amp; wellness benefits, generous PTO, company recharge days, a learning &amp; development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future.</p><p>Annual Base Salary Range:</p><p>$140,000&mdash;$348,000 USD</p><p>At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an <a href='https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf'>equal opportunity workplace</a> - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status<strong>, </strong>or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.</p><p>We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to <a href='mailto:[email protected]'>[email protected]</a>. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. </p><p>Examples of accommodations include but are not limited to: </p><ul><li>Holding interviews in an accessible location</li><li>Enabling closed captioning on video conferencing</li><li>Ensuring all written communication be compatible with screen readers</li><li>Changing the mode or format of interviews </li></ul> <p>To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.</p><p>By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with <a href='https://www.figma.com/legal/candidate-privacy-notice/'>Figma's Candidate Privacy Notice</a>.</p>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
DoorDash company logo
Data Analyst, In-Store
Jul 6
DoorDash
Jul 6
All U.S.
Fully Remote
98,600 - 145,000 / Yr
<h2>About the Team</h2> <p>The SevenRooms Data &amp; Analytics team is the foundational data hub powering go-to-market, product, finance, and operational decisions across the In-Store business. We design and maintain the pipelines, models, and infrastructure that connect SevenRooms' systems with the broader DoorDash data ecosystem — and we're investing aggressively in making our datasets ready for both human and AI consumption. Within the team, our product-focused analytics work owns the funnels, personas, and feature-adoption insights that inform what products and features get built, how it's launched, and how it performs in the market. </p><h2>About the Role</h2> <p>We're hiring a Data Analyst to be the data partner for our Product Management, Product Marketing, and executive teams at SevenRooms. You will own the building of data products, feature launch analytics, and the PLG instrumentation that connects product usage signals back into Salesforce, Gainsight, and our outbound motions. </p><p>You will report into the Manager, Data &amp; Analytics on our Data &amp; Analytics team in our SevenRooms organization.</p><h2>You're excited about this opportunity because you will…</h2> <ul><li>Own product analytics end-to-end — funnels, adoption, retention, and ROI for every major feature launch on the SevenRooms platform.</li><li>Build net new data products aimed at improving analytic and reporting capabilities</li><li>Partner with Product Managers and Product Marketers on pre-launch hypotheses , beta testing results, post-launch measurement, and ongoing optimization.</li><li>Design and ship PLG automations that translate product behavior into opportunity tagging, expansion signals, and CSM workflows.</li><li>Apply GenAI and ML techniques — partnering with our GTM Engineer — to product analytics use cases like web-sourced feature adoption opportunities, transactions predictive modeling, and Add-On ICP scoring.</li><li>Communicate closely in support of multiple PM’s with reporting and ad-hoc analysis</li></ul> <h2>We're excited about you because…</h2> <ul><li>2+ years of experience analyzing product data and partnering with Product Management teams in a SaaS environment.</li><li>Expert SQL skills and proficiency with a cloud BI tool such as Looker, Tableau, or Mode.</li><li>Hands-on experience with product instrumentation and analytics platforms such as Pendo, Amplitude, Mixpanel, or Heap.</li><li>Demonstrated ability to translate ambiguous product questions into rigorous, scoped analyses that ship recommendations — not just dashboards.</li><li>Strong written and verbal communication skills, including comfort presenting to product and executive audiences.</li></ul> <p><br>We expect this position to be filled by 8/9/26.</p><p><strong>Compensation</strong></p><p>The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.</p><p>In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.</p><p>DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.</p><p>To learn more about our benefits, visit our careers page <a href='https://careers.doordash.com/'>here</a>.</p><p>See below for paid time off details:</p><ul><li><strong>For salaried roles:</strong> flexible paid time off/vacation, plus 80 hours of paid sick time per year.</li><li><strong>For hourly roles:</strong> vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).</li></ul></p><p>The national base pay range for this position within the United States, including Illinois and Colorado.</p><p>$98,600&mdash;$145,000 USD</p><p><h2>About DoorDash</h2> <p>At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.<br><br>DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.</p><h2>Our Commitment to Diversity and Inclusion</h2> <p>We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.</p><p>Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.</p><p>Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.</p><p><strong>If you need any accommodations, please inform your recruiting contact upon initial connection.<br><br></strong></p><p>Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only</p><p>We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026.</p><p>The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here:<strong> <a href='https://getcovey.com/nyc-local-law-144'>https://getcovey.com/nyc-local-law-144</a>.<br></strong></p>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
Figma company logo
Technical Program Manager, Data Science
Jun 20
Figma
Jun 20
All U.S.
Remote & Hybrid Options
185,000 - 317,000 / Yr
<p>Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!</p><p>Figma's platform helps teams bring ideas to life — and Data Science is central to how we measure, improve, and scale it. We're on a mission to make data self-serve for every Figmate: moving from a world where every data question requires filing a request to a DS or DE, to one where anyone can ask a question in plain language and get a trustworthy answer in minutes. We're hiring Figma's first dedicated Technical Program Manager for Data Science to own that mission — driving our multi-phase Self-Serve Analytics program from semantic layer expansion through the Figma Data Assistant, while building the operational foundation for a growing DS org.</p><p>This is a full time role that can be held from one of our US hubs or remotely in the United States.</p><h2>What you'll do at Figma:</h2> <ul><li>Own end-to-end program delivery for Figma's Self-Serve Analytics initiative that includes semantic layer expansion, Slack bot launch, automated eval framework, and the Figma Data Assistant</li><li>Coordinate delivery across Data Engineering, DS ICs, Security, IT, and business stakeholders (Sales, Product, Finance, Research) to expand self-serve data coverage and drive adoption</li><li>Lead the governance and security work stream: work with Security and IT on LLM data access policies, PII guardrails, access controls, and LLM provider approvals</li><li>Drive adoption and change management — build champion networks, run training programs, and meet Figmates where they work (Slack, Notion) to shift from request-based to self-serve data culture</li><li>Build and maintain DS org operations: planning cycles, headcount tracking, onboarding programs, and team rhythms for a growing org</li><li>Own program-level success metrics: % of data questions answered via self-serve, time-to-insight, DS ad-hoc request volume reduction</li><li>Work closely with peer TPMs &amp; Data Scientists (AI, Infra, Performance) to coordinate on overlapping platform programs and shared data infrastructure needs</li></ul> <h2>We'd love to hear from you if you have:</h2> <ul><li>5+ years of technical program management experience (or equivalent) driving data infrastructure, analytics platform, or data democratization programs</li><li>Hands-on experience with modern data stacks: you're comfortable discussing semantic layers, data catalogs, BI tooling (Hex, Sigma), and AI-powered query interfaces (Cortex Analyst, RAG) at a program level</li><li>A track record of driving adoption — not just shipping internal tools, but changing behavior across technical and non-technical audiences through change management, enablement, and champion programs</li><li>Strong cross-functional program delivery: planning, dependency management, stakeholder alignment across deeply distributed teams</li></ul> <h2>While it's not required, it's an added plus if you also have:</h2> <ul><li>Hands-on familiarity with dbt, Snowflake Semantic Views, Acryl, Dagster, or similar data engineering tooling</li><li>Experience building or scaling eval frameworks for AI-generated outputs (golden SQL, accuracy dashboards, regression detection)</li><li>Background in data-driven product analytics or developer tools — understanding of how DS ICs work with PMs and EMs and driving alignment on requirements</li><li>Strong bias to action, self-motivation and curiosity, with a desire to bring people together in a fast-paced environment</li></ul> <p>At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.</p><p><strong>Pay Transparency Disclosure</strong></p><p>If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below. </p><p>Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information. </p><p>Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental &amp; vision, retirement with company contribution, parental leave &amp; reproductive or family planning support, mental health &amp; wellness benefits, generous PTO, company recharge days, a learning &amp; development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma’s compensation and benefits are subject to change and may be modified in the future.</p><p>Annual Base Salary Range:</p><p>$185,000&mdash;$317,000 USD</p><p>At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an <a href='https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf'>equal opportunity workplace</a> - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status<strong>, </strong>or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.</p><p>We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to <a href='mailto:[email protected]'>[email protected]</a>. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. </p><p>Examples of accommodations include but are not limited to: </p><ul><li>Holding interviews in an accessible location</li><li>Enabling closed captioning on video conferencing</li><li>Ensuring all written communication be compatible with screen readers</li><li>Changing the mode or format of interviews </li></ul> <p>To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.</p><p>By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with <a href='https://www.figma.com/legal/candidate-privacy-notice/'>Figma's Candidate Privacy Notice</a>.</p>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
Customer.io company logo
Senior Data Scientist
Jun 20
Customer.io
Jun 20
All U.S.
Fully Remote
140,000 - 150,000 / Yr
<h2>About <a href='http://customer.io/'>Customer.io</a></h2> <p>Over 8,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. <a href='http://Customer.io'>Customer.io</a> powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.</p><h2>About the role</h2> <p>Hi, my name is Michael, Head of Data &amp; Analytics at <a href='http://Customer.io'>Customer.io</a>, and I'm looking for a Senior Data Scientist to help our teams make better decisions using customer and product data.</p><p>You'll partner closely with Product, Marketing, and Customer Experience to evaluate product changes, design and analyze experiments, identify opportunities to improve the customer experience, and influence roadmap and business priorities. This is a hands-on role focused on analyzing behavior, building models, and turning data into clear, actionable direction.</p><p>This role is ideal for someone who enjoys solving ambiguous problems, working closely with stakeholders, and applying data science pragmatically to support product and business decisions. We're looking for someone with an ownership mindset and a bias for action who balances technical rigor with practical decision-making.</p><h2>What we value</h2> <p><strong>Ownership:</strong> You take initiative and drive analytical work from concept to implementation. You don't wait for perfect requirements — you help define the problem and move the work forward.</p><p><strong>Curiosity:</strong> You naturally question assumptions and dig deeper into the 'why' behind user behavior. You enjoy uncovering patterns in complex data and have the persistence to work through ambiguity and messy datasets.</p><p><strong>Analytical Rigor:</strong> You bring a thoughtful, structured approach to analytics and decision-making. You know how to define meaningful measures of success, evaluate changes with rigor, and distinguish signal from noise in complex behavioral data so teams can act with confidence.</p><p><strong>Communication:</strong> You can translate complex analytical concepts into clear recommendations for Product Managers, executives, and non-technical stakeholders.</p><p><strong>Collaboration:</strong> You work as a true cross-functional partner, balancing analytical rigor with practical business needs. You build trust by making data approachable, actionable, and reliable.</p><h2>What you'll do</h2> <ul><li>Analyze behavioral patterns across the customer lifecycle to identify trends, usage archetypes, and opportunities to improve adoption, engagement, and retention.</li><li>Design experiments and measurement approaches to evaluate the impact of product and marketing changes - and help teams make decisions based on evidence rather than intuition.</li><li>Build models and datasets that improve how teams segment customers, forecast outcomes, and identify trends.</li><li>Apply machine learning and AI techniques where they solve practical problems, for both internal decision-making and customer-facing scenarios.</li><li>Partner with Data Engineering to improve the quality, reliability, and accessibility of core data and metrics.</li><li>Communicate findings clearly and directly so teams can make informed decisions without needing a statistics background.</li></ul> <h2>What we're looking for</h2> <ul><li>5+ years of experience in a Data Science role within B2B SaaS or a similar product- or growth-focused environment.</li><li>Strong foundation in statistics, experimentation, and behavioral analytics - with the ability to apply them pragmatically to real product and business problems.</li><li>Proficiency in SQL and Python for large-scale analysis, modeling, and exploration.</li><li>Experience with modern cloud data platforms (Snowflake, BigQuery, or similar); familiarity with dbt is a plus.</li><li>Strong communication and stakeholder skills - you can explain complex analysis clearly to PMs, marketers, executives, and non-technical partners.</li><li>An ownership mindset - you help define the problem and move work forward; you don't wait for perfect requirements.</li></ul> <h2>Why This Role</h2> <p>This role offers the opportunity to work on high-impact problems across the business while helping shape how data science and analytics evolve within the organization. You'll have the autonomy to explore meaningful questions, influence strategy, and help build a stronger data-informed culture.</p><h2>Compensation &amp; Benefits</h2> <p>We believe in transparency. Starting salary for this role is $140,000-$150,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment.</p><p>We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including <strong>100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family</strong>. We also offer <strong>16 weeks paid parental leave, unlimited PTO</strong>, stipends for remote work and wellness, a professional development budget, and more.</p><p><a href='https://customer.io/careers#:~:text=our%20collective%20success.-,BENEFITS,-Our%C2%A0'>See full benefits here →</a></p><h2>Our Process</h2> <p>No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.</p><ul><li>30-minute call with Recruiter</li><li>45-minute call with Hiring Manager</li><li>45-minute 1:1 Technical Interview</li><li>Take-Home Assignment + 45-minute review call</li><li>30-minute Final Interview with Stakeholder</li></ul> <p>All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.</p><p><a href='http://Customer.io'>Customer.io</a> recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.</p><p>Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official <a href='http://customer.io/'>Customer.io</a> letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact <a href='mailto:[email protected]'>[email protected]</a>.</p><h2>Join us!</h2> <p>Check out our <a href='https://customer.io/careers/'>careers page</a> for more information about why you should <a href='https://customer.io/about/'>come work with us!</a> We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now.</p>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data
The New York Times company logo
Senior Data Engineer, Customer-Facing Data Products
Jun 11
The New York Times
Jun 11
New York
Hybrid
140,000 - 160,000 / Yr
<p><strong>The <a href='https://www.nytco.com/company/mission-and-values/'><u>mission</u></a> of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. </strong></p><h2>About the Role</h2> <p>The New York Times is looking for a Senior Data Engineer to join the Customer-Facing Data Products team to develop real-time data pipelines and APIs that process events and serve aggregated data for customer-facing use cases. You will report to the Engineering Manager for the Customer-Facing Data Products team and build widely reusable solutions to help partner teams solve our most important real-time needs, including behavioral and targeting use cases.</p><p>This is a hybrid role based in our New York City headquarters.</p><h2>Responsibilities:</h2> <p><ul><li>Develop real-time data pipelines using event-driven architectures and streaming technologies.‬</li><li>Ingest and organize structured and unstructured data for widespread reuse across‬‭ patterns.‬</li><li>Engineer and scale high availability data serving capabilities to meet customer-facing needs.</li><li>Implement mechanisms to ensure data quality, observability and governance best‬‭ practices.‬</li><li>Collaborate with software engineers and infrastructure teams to improve pipeline‬‭ performance and integrate solutions into production environments.‬</li><li>Grow the skills of colleagues by providing clear technical feedback through pairing,‬‭ design, and code review.‬</li><li>Stay current with latest technologies, keeping up with the latest advancements in‬‭ streaming data processing and related technologies.‬</li><li>Demonstrate support and understanding of our<a href='https://www.nytco.com/company/mission-and-values/'> value of journalistic independence</a> and a strong commitment to our mission to seek the truth and help people understand the world.</li></ul> </p><h2>Basic Qualifications:</h2> <ul><li>5+ years of full-time data engineering experience shipping real-time solutions with‬‭ event-driven architectures and stream-processing frameworks</li><li>Experience with cloud native architectures (AWS preferred), including service offerings and tools</li><li>Understanding of modern API design principles and technologies, including REST,‬‭ GraphQL, and gRPC for data serving</li><li>Programming fluency with Python</li><li>Experience using version control and CI/CD tools, such as Github Actions and Drone</li></ul> <h2>Preferred Qualifications:</h2> <ul><li>Experience developing streaming pipelines with Apache Kafka, Apache Flink, or Spark‬‭ Streaming</li><li>Experience building APIs using Python frameworks (FastAPI, Flask)</li><li>Experience with SQL</li><li>Understanding of modern data platforms including data lakehouse‬‭ and medallion architectures</li><li>Experience collaborating with product and partners to meet shared goals<br><br></li></ul> <p>This role will require limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.</p><p>#LI-Hybrid</p><p>Req-020049</p><p>The annual base pay range for this role is between:</p><p>$140,000&mdash;$160,000 USD</p><p>For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs. </p><p>For roles outside of the U.S., information on benefits will be provided during the interview process.</p><p>The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.</p><p>We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)’s Know Your Rights Poster is available <a href='https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal'>here</a>. </p><p>The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email [email protected]. Emails sent for unrelated issues, such as following up on an application, will not receive a response.</p><p>The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable 'Fair Chance' laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.</p><p>For information about The New York Times' privacy practices for job applicants click <a href='https://nytco-assets.nytimes.com/2020/06/NYT_Applicant_Privacy_Policy.pdf'>here</a>.</p><p>Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through <a href='https://www.nytco.com/careers/'>The New York Times careers site</a>. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.</p><p>If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at [email protected]. You can also file a report with the <a href='https://reportfraud.ftc.gov/#/'>Federal Trade Commission</a> or your <a href='https://www.consumerresources.org/file-a-complaint/'>state attorney general</a>.</p>
NY
Data
Alpaca company logo
Director of Data
Jun 11
Alpaca
Jun 11
All U.S.
Fully Remote
<h2>Who We Are:</h2><p>Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series D funding round brought our total investment to over $320 million, fueling our ambitious vision.</p><p>Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 9 million brokerage accounts.</p><p>Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of <strong>opening financial services to everyone on the planet</strong>. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.</p><p>Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator.</p><h2>Our Team Members:</h2><p>We're a dynamic team of 380+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!</p><p>We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.</p><h2>Your Role:</h2><p>We are looking for a Head of Data to lead Alpaca’s ~15-person data department across Platform Engineering, Analytics Engineering, and Data Science. You will own the data strategy, the team’s execution, and the department’s roadmap.</p><p>The Data department serves every function at Alpaca: it powers partner invoicing and revenue attribution, provides the analytical foundation for sales, product, and compliance, and operates the data platform that processes hundreds of millions of events daily. You will manage three team leads, balancing operational delivery (invoicing, embedded analytics, regulatory reporting) with strategic bets (self-service warehouse, AI-powered analytics, enterprise search).</p><p>This is a player-coach role. You will set direction for the team while staying close enough to the technical details to make architecture decisions, unblock your leads, and represent data’s capabilities to the executive team.</p><h2>Things You Get To Do:</h2><ul><li>Lead and develop three sub-teams: Platform Engineering &amp; ETL, Analytics Engineering, and Data Science &amp; Analytics. Manage leads, set priorities, and ensure delivery.</li><li>Own the Data Lakehouse architecture: Trino, Iceberg/GCS, Airflow, Airbyte, Redpanda CDC, dbt. Make build-vs-buy decisions on tooling.</li><li>Drive partner invoicing accuracy and evolution: ensure invoicing logic is versioned, reproducible, and scales with new pricing mechanisms and product launches.</li><li>Deliver embedded analytics: expose warehouse data to partners via BrokerDash, SSR pipelines, and API-based reporting. Own row-level security and entitlements.</li><li>Support product launches with data change management: coordinate data impact analysis for new products (fixed income, global stocks, perps, 24/5 trading) across downstream datasets, dashboards, and reverse ETL.</li><li>Accelerate self-service: move the organization toward self-serve analytics via semantic layers, data catalogues, and conversational BI so the data team can shift from ad-hoc queries to strategic projects.</li><li>Guide AI/ML enablement: oversee enterprise AI search, agent-based workflow automation, and LLM-powered analytics. Help balance vendor solutions with in-house development.</li><li>Collaborate with Finance, Sales, Product, Compliance, and Customer Success to translate business needs into data products.</li><li>Manage infrastructure costs: keep data + cloud cost ratio under target as AUC grows.</li><li>Operate production systems: own on-call processes, incident response, and SLOs for data freshness, accuracy, and availability.</li></ul><h2>Who You Are (Must-Haves):</h2><ul><li>8+ years in data engineering or analytics, including 3+ years managing data teams (leads + ICs).</li><li>Deep experience with modern data stack: dbt, Trino/Presto or equivalent query engines, Apache Iceberg or similar table formats, cloud object storage.</li><li>Hands-on experience with ETL/ELT patterns at scale: CDC (Debezium/Kafka), batch (Airflow/dbt), streaming, and reverse ETL.</li><li>Track record of building self-service analytics capabilities for non-technical stakeholders.</li><li>Experience with financial data: trading, invoicing, revenue attribution, or regulatory reporting in fintech or financial services.</li><li>Proficiency in Python and SQL. Comfortable reading code, reviewing PRs, and making architecture decisions.</li><li>Experience managing distributed/remote teams across multiple time zones.</li><li>Strong stakeholder management: you can translate between executive priorities and engineering execution.</li><li>Experience with GCP (GKE, GCS, BigQuery migration), Kubernetes, Helm, Terraform.</li></ul><p><strong>Who You Might Be (Nice-to-Haves):</strong></p><ul><li>Experience with brokerage or broker-dealer operations (clearing, settlement, market making, reconciliation).</li><li>Familiarity with LLM/AI tooling: MCP, vector databases, enterprise search, conversational BI (WrenAI, Cube).</li><li>Background in compliance analytics (AML/Actimize, KYC, margin calls).</li><li>Exposure to open-source data catalogues (OpenMetadata, Collate) and data quality frameworks.</li></ul><h2>How We Take Care of You:</h2><ul><li>Competitive Salary &amp; Stock Options</li><li>Health Benefits</li><li>New Hire Home-Office Setup: One-time USD $500</li><li>Monthly Stipend: USD $150 per month via a Brex Card</li></ul><p><em>Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.</em></p><p>Recruitment Privacy Policy</p>
AL, AK, AZ, AR, CA, CO, CT, DE, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MD, MA, MI, MN, MS, MO, MT, NE, NV, NH, NJ, NM, NY, NC, ND, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VT, VA, WA, DC, WV, WI, WY
Data

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