The New York Times company logo

The New York Times

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Director, Data and Insights, Growth

Aug 26, 2026
Full Time
Data
Remote & Hybrid Options
156,000 - 185,000 / Yr
All U.S.

The mission 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.

The Times is seeking an innovative analytics director who is passionate about data and eager for the opportunity to support the Times journalistic mission.

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.

Responsibilities:

  • You will define your team’s data strategy and own the creation and execution of solutions across the team
  • 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.
  • You will create novel insights, advocate for them, and lead them into action
  • You will oversee team deliverables and represent the team’s work and impact at the executive level
  • You will democratize data and insights through skillful data structuring and use of visualization tools
  • You will navigate through ambiguity and organizational structures to advise stakeholders on how to best evaluate and implement initiatives from a data perspective
  • You will leads, hire, onboard, and develop talent, careers, and culture of analytics within your team
  • You will proactively lead data projects by fostering collaboration, building consensus and driving initiatives to successful completion
  • You will demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications

  • 8+ years of experience working with data analytics or data science teams to deliver reporting, analysis and insight or a quantitative degree
  • Proficiency in SQL and experience working with relational databases
  • 3+ years of people management experience
  • Experience with data visualization tools such as Mode, Tableau, or Lookr

Preferred qualifications:

  • Familiarity with Google BigQuery, AWS, or other big data environments
  • Comfort with version control (Github, code review)
  • Experience leading product or subscription analytics strategy
  • 5+ years of experience communicating key insightscross-functionally(written, visually and verbally)-

Req-020258

The annual base pay range for this role is between:

$156,000—$185,000 USD

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.

For roles outside of the U.S., information on benefits will be provided during the interview process.

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.

If you’re an Engineering candidate, we’ll let you know what specific GenAI tools you are permitted to use for your technical assessment.

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.

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 here.

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.

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.

For information about The New York Times' privacy practices for job applicants click here.

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 The New York Times careers site. 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.

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 Federal Trade Commission or your state attorney general.

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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
Airbnb company logo
Data Scientist - Inference, Community Support
Aug 26
Airbnb
Aug 26
All U.S.
Full Remote
151,000 - 175,000 / 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>Airbnb is a mission-driven company dedicated to creating a world where anyone can belong anywhere. Our Community Support (CS) team is at the heart of that mission—delivering seamless, 10-star customer service experiences complemented by world-class, personalized human support that empowers hosts and guests at every step of their journey.</p><p>As a Data Scientist working on Causal Inference in CS, you will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operation agents to enable personalized, fair and exceptional experience for guests &amp; hosts using advanced causal inference analysis for Community Support.</p><h2>The Difference You Will Make:</h2> <p>We're looking for a motivated and talented Data Scientist with strong causal inference expertise to join the Community Support Data Science team. You'll partner closely with the area's tech lead on high-impact projects spanning AI-powered products, differentiated service, and operations optimization.</p><p>The ideal candidate brings sharp applied inference intuition, a bias toward impact, and the ability to cut through ambiguity to drive clarity in complex problem spaces. You’ll work on high-impact projects like:</p><ul><li>Design rigorous experiments &amp; quasi-experiments to measure the causal impact of CS product launches and drive data-informed launch decisions.</li><li>Build causal ML models to optimize Make Goods budget allocation and maximize business impact.</li><li>Conduct causal inference analyses to quantify the long-term effects of product changes and uncover heterogeneous treatment effects.</li><li>Deliver strategic insights on quality-cost tradeoffs, empowering leadership to deliver the best possible support experience to our community.</li></ul> <h2>A Typical Day: </h2> <ul><li><strong>Inference &amp; Measurement:</strong> Design and implement causal inference frameworks and statistical models to measure the impact of interventions, evaluate system performance and uncover opportunities for improvement.</li><li><strong>Modeling:</strong> Build, evaluate and iterate on causal ML models that power high-stakes decisions, applying best practices across the full model lifecycle from feature engineering to production deployment</li><li><strong>Optimization:</strong> Develop frameworks to analyze tradeoffs between competing objectives (accuracy, coverage, user experience and operational cost), and propose strategies to improve overall effectiveness.</li><li><strong>Collaborate Cross-Functionally: </strong>Build strong relationships with cross-functional partners across Product, Design, Engineering, Operations, and Analytics to drive collaboration and innovation.</li><li><strong>Influence Decisions:</strong> Communicate learnings to leaders and stakeholders in a clear, compelling manner that drives informed, data-driven decision-making.</li><li><strong>Empowerment:</strong> Think strategically about how to scale and evolve data science capabilities within your domain, contributing to the long-term vision for how science drives platform outcomes.</li></ul> <h2>Your Expertise:</h2> <ul><li>2+ years of industry experience in a quantitative analysis role with a Master's degree in a quantitative field (statistics, economics, computer science, etc.), or PhD in relevant fields.</li><li>Strong knowledge of causal inference and experimental design.</li><li>Strong knowledge of Bayesian modeling and statistical inference.</li><li>Hands-on experience building and deploying statistical or ML models in production environments.</li><li>Skilled in statistical programming (Python/R) and database usage (SQL).</li><li>Proven ability to communicate clearly and effectively to audiences of varying technical levels.</li><li>Ability to translate complex findings into compelling narratives that drive impact.</li><li>Excellent project management, communication and collaboration skills.</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>$151,000&mdash;$175,000 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
Customer.io company logo
Senior Manager, Data Science & Analytics
Aug 23
Customer.io
Aug 23
All U.S.
Full 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
ApartmentIQ company logo
Data Scientist - Market Research
Aug 12
ApartmentIQ
Aug 12
All U.S.
Full Remote
<h2>We’re Changing the PropTech Industry</h2> <p>We’re a profitable, growth-stage company building industry-leading martech and data products for the PropTech space. Our focus is on our category-leading AI and data SaaS products with triple-digit growth rates.</p><p>We’re a fully remote team of 100+ spread across the U.S. from coast to coast. We operate on a strict no a**holes policy and are proud to have built a community of highly performant people that take our work seriously, but not ourselves. And, we're looking for exceptional people to help further accelerate our growth.</p><p>While we’ve raised $30MM+ to date from some of the world’s best investors, we’re profitable with a strong balance sheet and an indefinite runway. We pride ourselves on achieving rapid growth without having to incinerate capital.</p><h2>About Our Products</h2> <p>ApartmentIQ is the all-in-one data platform powering smarter decisions across multifamily, covering 40M units with daily property and market intelligence used for surveys, research, and revenue management. We're trusted by 65% of the NMHC Top 50. Our sister company, MavenAI, delivers AI-powered marketing automation built by industry experts and integrated directly with property management systems, serving over 2M units.</p><h2>The Role</h2> <p>We are seeking a Data Scientist to bridge the worlds of real estate acquisitions and data science. This role is ideal for someone with hands-on experience in multifamily commercial real estate, including building pro formas, analyzing deals, and leveraging market intelligence from sources such as CoStar, Yardi Matrix, and RealPage Market Analytics. The successful candidate will apply those skills to build innovative data-driven products for investors.</p><p>As part of the ApartmentIQ Explore Pro team, you will work closely with leadership, product, and engineering to design and deliver new features that make multifamily investment insights more actionable. This is an opportunity to help shape how institutional investors access and evaluate multifamily market data while building the next generation of investment tools.</p><h2>Responsibilities</h2> <ul><li>Research and experiment with multifamily datasets to identify opportunities for new product features and insights.</li><li>Partner with product managers and engineers to define requirements and design data-driven capabilities for ApartmentIQ Invest Pro.</li><li>Translate acquisitions workflows into scalable tools and features for institutional investors.</li><li>Apply large language models (LLMs) and other AI techniques to accelerate research, automate workflows, and unlock new insights from structured and unstructured market data.</li><li>Act as a subject matter expert on multifamily acquisitions, ensuring the product reflects real-world investor needs.</li><li>Create clear documentation, dashboards, and analyses to communicate findings and product opportunities.</li><li>Stay current on multifamily industry trends, data sources, AI/ML advances, and investment methodologies.</li></ul> <h2>Qualifications</h2> <ul><li>3–5 years of experience in multifamily commercial real estate, with a strong background in underwriting, deal analysis, and pro forma modeling.</li><li>Proven experience using key market data sources such as CoStar, Yardi Matrix, or RealPage Market Analytics.</li><li>Strong quantitative and analytical skills with proficiency in SQL.</li><li>Experience applying large language models (LLMs) or AI/ML techniques to accelerate research, automate analysis, or extract insights from data.</li><li>Familiarity with modern data science practices, including model building, experimentation, and validation.</li><li>Experience collaborating across teams (investment, product, engineering, data science).</li><li>Strong business acumen and ability to translate investor workflows into product features.</li><li>Excellent communication skills with the ability to explain complex data insights to technical and non-technical stakeholders.</li><li>Entrepreneurial mindset: comfortable in a fast-paced, product-building environment.</li></ul> <h2>Bonus Skills</h2> <ul><li>Proficiency in Python, R, or similar.<br><br></li></ul> <p><h2>Why Choose Us:</h2> <ul><li> <p><strong>Remote-First</strong>: We offer the freedom to work from home across most of the U.S. You’ll enjoy the flexibility of remote work, balanced with high-energy in-person offsites to build real connections and celebrate our wins together.</p></li><li> <p><strong>Competitive Compensation</strong>: We believe in hiring the best and paying accordingly. You’ll receive a competitive salary that reflects your impact and expertise.</p></li><li> <p><strong>Paid Time Off</strong>: Take the time you need with our flexible vacation policy and dedicated paid parental leave to support you and your family’s biggest milestones.</p></li><li> <p><strong>Your Health Matters</strong>: Stay healthy with high-quality Medical, Dental, and Vision insurance plans for you and your family.</p></li><li> <p><strong>Peace of Mind (On Us)</strong>: We fully invest in your security with 100% company-paid Short-Term Disability, Long-Term Disability, and Basic Life Insurance.</p></li><li> <p><strong>Protection for Your Whole Crew</strong>: Access supplemental insurance for the unexpected, plus specialized coverage to keep your pets happy and healthy, too.</p></li><li> <p><strong>Invest in Your Future:</strong> Secure your financial goals with our 401k Program, helping you build for the long term while you help us build the company.</p></li></ul> <p>If you need assistance and/or a reasonable accommodation in the application or recruiting process, please contact your recruiter. </p><p>Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.</p><p>We want to alert you to potential recruiting scams targeting job seekers. Please note that our company will never request payment, personal information, or any confidential details during the interview process.</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.
Full 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