Data

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!

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.

This is a full time role that can be held from one of our US hubs or remotely in the United States.

What you'll do at Figma:

• 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
• 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
• 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
• 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
• Build and maintain DS org operations: planning cycles, headcount tracking, onboarding programs, and team rhythms for a growing org
• Own program-level success metrics: % of data questions answered via self-serve, time-to-insight, DS ad-hoc request volume reduction
• Work closely with peer TPMs & Data Scientists (AI, Infra, Performance) to coordinate on overlapping platform programs and shared data infrastructure needs

We'd love to hear from you if you have:

• 5+ years of technical program management experience (or equivalent) driving data infrastructure, analytics platform, or data democratization programs
• 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
• 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
• Strong cross-functional program delivery: planning, dependency management, stakeholder alignment across deeply distributed teams

While it's not required, it's an added plus if you also have:

• Hands-on familiarity with dbt, Snowflake Semantic Views, Acryl, Dagster, or similar data engineering tooling
• Experience building or scaling eval frameworks for AI-generated outputs (golden SQL, accuracy dashboards, regression detection)
• Background in data-driven product analytics or developer tools — understanding of how DS ICs work with PMs and EMs and driving alignment on requirements
• Strong bias to action, self-motivation and curiosity, with a desire to bring people together in a fast-paced environment

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.

Pay Transparency Disclosure

If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below.

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.

Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & 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.

Annual Base Salary Range:

$185,000—$317,000 USD

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 equal opportunity workplace - 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, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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 [email protected]. 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.

Examples of accommodations include but are not limited to:

• Holding interviews in an accessible location
• Enabling closed captioning on video conferencing
• Ensuring all written communication be compatible with screen readers
• Changing the mode or format of interviews

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.

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 Figma's Candidate Privacy Notice.

About Customer.io

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. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.

About the role

Hi, my name is Michael, Head of Data & Analytics at Customer.io, and I'm looking for a Senior Data Scientist to help our teams make better decisions using customer and product data.

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.

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.

What we value

Ownership: 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.

Curiosity: 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.

Analytical Rigor: 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.

Communication: You can translate complex analytical concepts into clear recommendations for Product Managers, executives, and non-technical stakeholders.

Collaboration: 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.

What you'll do

• Analyze behavioral patterns across the customer lifecycle to identify trends, usage archetypes, and opportunities to improve adoption, engagement, and retention.
• 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.
• Build models and datasets that improve how teams segment customers, forecast outcomes, and identify trends.
• Apply machine learning and AI techniques where they solve practical problems, for both internal decision-making and customer-facing scenarios.
• Partner with Data Engineering to improve the quality, reliability, and accessibility of core data and metrics.
• Communicate findings clearly and directly so teams can make informed decisions without needing a statistics background.

What we're looking for

• 5+ years of experience in a Data Science role within B2B SaaS or a similar product- or growth-focused environment.
• Strong foundation in statistics, experimentation, and behavioral analytics - with the ability to apply them pragmatically to real product and business problems.
• Proficiency in SQL and Python for large-scale analysis, modeling, and exploration.
• Experience with modern cloud data platforms (Snowflake, BigQuery, or similar); familiarity with dbt is a plus.
• Strong communication and stakeholder skills - you can explain complex analysis clearly to PMs, marketers, executives, and non-technical partners.
• An ownership mindset - you help define the problem and move work forward; you don't wait for perfect requirements.

Why This Role

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.

Compensation & Benefits

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.

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 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family. We also offer 16 weeks paid parental leave, unlimited PTO, stipends for remote work and wellness, a professional development budget, and more.

See full benefits here →

Our Process

No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.

• 30-minute call with Recruiter
• 45-minute call with Hiring Manager
• 45-minute 1:1 Technical Interview
• Take-Home Assignment + 45-minute review call
• 30-minute Final Interview with Stakeholder

All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.

Customer.io 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.

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 Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact [email protected].

Join us!

Check out our careers page 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.

The Opportunity

As a Senior GTM Data Scientist at PandaDoc, you will be a critical analytical partner to our Go-To-Market (GTM) teams. You will embed yourself in our GTM data to uncover insights and drive actionable recommendations across Sales, Marketing, and Customer Success.

The core of this role is to design, build, and maintain predictive machine learning models that optimize customer acquisition, revenue attribution, and retention efforts. You will apply analytical rigor and methodologies like experimentation and causal inference to provide GTM leadership with a reliable understanding of business efficiency and impact. You will report to the Director of GTM Data and act as a reliable thought partner to Marketing, Sales, Customer Success, and Finance.

What You'll Do

Predictive Modeling & GTM Strategy

• Model Development: Design, build, and deploy foundational GTM models, including Customer Lifetime Value (LTV) forecasting, Marketing and Sales Attribution, and Propensity models (e.g., propensity to convert, churn, or expand).
• GTM Experimentation: Partner with GTM teams to design and analyze controlled experiments across various channels, including website A/B testing, pricing experiments, and marketing campaign effectiveness. You will use methodologies such as AB, multivariate, Bayesian, and Causal Inference.
• Deep Dive Analysis: Execute proactive, complex analytical deep dives to discover latent user behavior and root causes of changes in GTM metrics, translating findings into actionable recommendations.
• Marketing Mix Modeling (MMM): Support the interpretation of MMM results to help maximize marketing ROI and assess the feasibility of future in-house modeling.

Measurement & Technical Rigor

• Measurement Frameworks: Define, instrument, and govern a unified Key Performance Indicator (KPI) framework that maps GTM activities (e.g., CAC, Funnel conversion, Retention) to high-level business outcomes.
• Data Advocacy: Translate complex statistical findings and model outputs into compelling business narratives for cross-functional partners.
• Data Partnership: Work closely with Data Engineering to ensure data quality, reliable instrumentation, and the development of reusable predictive assets like model feature stores.
• Guidance: Provide technical guidance to peers and stakeholders on best practices for data exploration, ML modeling, and causal methodologies.

About You

Qualifications

• Experience: 4+ years of professional experience in an applied data science, economics, or GTM analytics role, with a proven track record of leveraging predictive modeling and experimentation to drive measurable business impact.
• Education: B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, or a related quantitative discipline. A Master’s degree is preferred, but not required

Technical Expertise

• Machine Learning: Demonstrated experience in building and validating production-ready models for business applications (LTV, Attribution, Propensity).
• Causal Inference: Practical application of Causal Inference methods, such as Quasi-Experimentation, Matching Methods (PSM), and Difference-in-Differences
• Experimentation: Proficiency in statistical methodologies for A/B testing, including sample size calculations, sequential testing, and variance reduction techniques.
• Programming & Tools: Advanced proficiency in Python or R (specifically Scikit-Learn, pandas, numpy) and expert-level SQL.
• Data Pipelining: Experience with tools like dbt, Airflow, Databricks, or Snowflake is a strong plus.

Key Attributes

• Strategic Communication: Strong data storytelling skills with the ability to influence cross-functional partners and drive consensus in ambiguous environments.
• Thrive in Ambiguity: Ability to translate complex business questions into clear analytical frameworks while managing multiple competing priorities.
• Domain Expertise: Experience in a SaaS domain and a strong focus on supporting Sales, Marketing, or Customer Success data needs are highly preferred. Experience building LTV, attribution, and propensity models is strongly preferred.

Company Culture:

• We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.
• Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers.
• Check out our LinkedIn to learn more.

Benefits:

The annual base salary for this role is up to $165,000-$185,000.

• Our benefits include tremendous career growth opportunities, a competitive salary, health and commuter benefits, company paid life & disability, 20+ PTO days, 401K and FSA plans, and of course, a fun team of Pandas to work with!

PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.

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 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

At Reddit we continue to grow our teams with the best talent. We're completely remote friendly.

Team Description:

The Data Science Team at Reddit is expanding, and we are looking for an experienced leader to head a team of talented data scientists focused on the Marketing & Business Development domain. Our core mission is to evolve Marketing & BD Data Science from ad-hoc reporting to a strategic data science partnership that scales Reddit’s marketing efforts, and to help product and marketing teams make data-driven, high-confidence decisions.

The team's work is centered around three strategic pillars:

• Data Foundations: Building and maintaining a canonical single source of truth for marketing performance and attribution, leveraging robust data foundations to power reliable campaign analyses, experimentation, and accurate Lifetime Value (LTV) modeling.
• Causal Measurement & Metrics: Ensuring consistent measurement of campaign quality and ROI by defining and deploying advanced causal decision frameworks and models.
• Decision-Making Insights: Functioning as a strategic partner to the Marketing organization, translating data into clear, actionable recommendations to guide budget allocation and identify high-value growth segments.

Responsibilities:

As a Data Science Senior Manager, you will lead a team that is crucial to Reddit's user growth strategy. You will:

• Lead and Develop: Build, lead, and mentor a high-performing team of data scientists focused on the Marketing & Business Development domain.
• Drive Strategy: Serve as a thought-partner to cross-functional leaders (Product, Engineering, Design, and Marketing), communicating and shaping the roadmap and strategy for Reddit by identifying actionable and impactful insights.
• Deliver Causal Insights: Lead initiatives to quantify the true incremental lift of marketing spend and prevent budget allocation on non-incremental channels, including developing and deploying Incremental/Predictive LTV models.
• Standardize Measurement: Oversee the establishment of measurement frameworks (incl. effective experimental designs and/or Causal inference methods) to evaluate Brand Initiatives and ensure consistent metrics are aligned across the organization for campaign quality and ROI.
• Drive Adoption: Drive the adoption of strategic and tactical recommendations based on deep product experience and data understanding to maximize our value to consumers.
• Ensure Data Quality: Take a keen interest in the collection and quality of underlying data, including overseeing work on ETLs, reporting dashboards, and data aggregations needed for business tracking and/or ML model development.
• Enable Self-Service: Lead initiatives to enable analytics self-serve capabilities for cross-functional teams.

Required Qualifications:

• You have experience in driving product strategy and roadmaps through analytics, ideally for consumer technology products and marketplaces
• You built, led and developed high performing product analytics teams before: ideally 5+ years of leadership experience as a people manager, leading a team of up to 10 data scientists.
• Teams you have led had expertise in causal inference, A/B testing experimentation, metric definition and governance, and product strategy
• You have led initiatives to enable analytics self serve for cross-functional teams
• You excel at communicating to both technical and non-technical people
• You have an ability to understand nuanced complex concepts and systems, and explain them simply.
• You are proficient in SQL and Python/R for hands-on analysis. You can roll up your sleeves and work side by side with your team when needed
• You have experience in leveraging AI-assisted development tools (e.g., Cursor, Claude, or similar LLMs) to improve personal and team productivity, code quality, and technical problem-solving.
• You have a collaborative attitude and natural curiosity and strong evidence-backed product opinions

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#Li-remote

Pay Transparency:

This job posting may span more than one career level.

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 https://www.redditinc.com/careers/.

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.

The base salary range for this position is:

$232,500—$325,500 USD

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.

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 Candidate Privacy Policy for Potential Employees and Contractors.

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.

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.

About the Role

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.

This is a hybrid role based in our New York City headquarters.

Responsibilities:

• Develop real-time data pipelines using event-driven architectures and streaming technologies.‬
• Ingest and organize structured and unstructured data for widespread reuse across‬‭ patterns.‬
• Engineer and scale high availability data serving capabilities to meet customer-facing needs.
• Implement mechanisms to ensure data quality, observability and governance best‬‭ practices.‬
• Collaborate with software engineers and infrastructure teams to improve pipeline‬‭ performance and integrate solutions into production environments.‬
• Grow the skills of colleagues by providing clear technical feedback through pairing,‬‭ design, and code review.‬
• Stay current with latest technologies, keeping up with the latest advancements in‬‭ streaming data processing and related technologies.‬
• 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:

• 5+ years of full-time data engineering experience shipping real-time solutions with‬‭ event-driven architectures and stream-processing frameworks
• Experience with cloud native architectures (AWS preferred), including service offerings and tools
• Understanding of modern API design principles and technologies, including REST,‬‭ GraphQL, and gRPC for data serving
• Programming fluency with Python
• Experience using version control and CI/CD tools, such as Github Actions and Drone

Preferred Qualifications:

• Experience developing streaming pipelines with Apache Kafka, Apache Flink, or Spark‬‭ Streaming
• Experience building APIs using Python frameworks (FastAPI, Flask)
• Experience with SQL
• Understanding of modern data platforms including data lakehouse‬‭ and medallion architectures
• Experience collaborating with product and partners to meet shared goals
  
  

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.

#LI-Hybrid

Req-020049

The annual base pay range for this role is between:

$140,000—$160,000 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.

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.

About Remote

Remote is solving modern organizations’ biggest challenge – navigating global employment compliantly with ease. We make it possible for businesses of all sizes to recruit, pay, and manage international teams. With our core values at heart and future focused work culture, our team works tirelessly on ambitious problems, asynchronously, around the world. You can find Remoters working from 6 different continents (Antarctica left to go!) and all of our positions are fully remote.

With Innovation as one of the core values, we have built Automation and AI capabilities into the requirements for every role.

We encourage every member of the Remote team to bring their talents, experiences and culture to the table to help us build the best-in-class HR platform.

If you are energetic, curious, motivated and ambitious, be part of our world. Apply now and define the future of work!

What this job can offer you

This is a transformative time to join Remote and make a personal difference in the global employment space as Principal Analyst, Marketing Analytics. As the highest-level individual contributor within our Revenue Operations team, you won't just support our strategy—you will shape it.

We are looking for a visionary, highly autonomous expert to serve as the primary strategic partner to the Director of Planning and Analytics, the VP of Growth Marketing, and the broader executive leadership team. In this P5 role, you will own the long-term vision for our marketing data ecosystem, moving beyond project execution to architect frameworks that define our global marketing strategy. From pioneering next-generation predictive attribution models to unlocking the macroeconomic impact of brand equity, your governance will dictate Remote’s global investment strategy.

What you bring

• Professional Experience: Distinguished track record in marketing analytics, business intelligence, or data science, with extensive experience specifically embedded in high-growth B2B SaaS or enterprise environments.
• Architect-Level Attribution: Mastery in designing, scaling, and defending complex attribution frameworks (Multi-Touch, Media Mix Modeling, and Unified Measurement) across complex, non-linear enterprise buyer journeys.
• Macro-Funnel Vision: Deep expertise in quantifying abstract, non-paid focus areas; a proven history of designing measurement frameworks for global brand health, organic ecosystems, Share of Voice (SoV), and long-tail market expansion.
• Advanced Technical Mastery: Expert-level proficiency across the modern data stack. You are comfortable writing production-grade code, architecting data models in dbt, optimizing complex Snowflake environments, and leveraging AI/automation to scale analytical workflows.
• Ecosystem Governance: Deep familiarity navigating and integrating enterprise CRMs and automation systems (Salesforce, HubSpot) with advanced BI ecosystems (Sigma, Tableau, Looker).
• Executive Gravitas & Communication: Exceptional ability to command a room of C-suite executives, transforming dense, highly technical data structures into high-impact strategic narratives that drive organizational change.
• Language: Professional fluency in written and spoken English.
• Remote-First Mindset: While experience working remotely isn't required, a strong knack for asynchronous communication, high autonomy, and self-driven documentation is highly valued.

Key Responsibilities

Strategic Vision & Predictive Modeling

• Next-Gen Attribution & MMM: Own and evolve the architectural vision for Remote’s attribution logic. Merge multi-touch attribution (MTA) with Media Mix Modeling (MMM) to build a unified view of both performance marketing and organic Top-of-the-Funnel (TOFU) streams.
• Predictive LTV & Budget Optimization: Architect and maintain advanced Customer Lifetime Value (LTV) and predictive churn models. Direct how these high-quality predictive signals are fed back into ad platforms and algorithmic bidding engines to maximize efficiency.
• Executive Planning & Capital Allocation: Partner directly with finance and marketing leadership to drive annual and quarterly planning. Own the macroeconomic forecasting models that dictate global budget allocation and ROI expectations.

Global Frameworks & Data Governance

• Brand & Organic Quantification: Establish the global standard for measuring non-paid marketing initiatives. Build robust, defensible frameworks for Share of Voice, brand sentiment, and organic compounding to justify long-term brand investments.
• Macro-Funnel Optimization: Analyze the end-to-end B2B funnel—from dark social and initial awareness to closed-won enterprise revenue—identifying systemic friction points and multi-million dollar white-space opportunities.
• Data Strategy & Guardianship: Act as the ultimate authority on marketing data integrity. Partner with Data Engineering and RevOps to design the upstream data infrastructure, ensuring information flowing through HubSpot, Salesforce, and Snowflake remains an unassailable "single source of truth."

Leadership & Innovation

• Organizational Multiplier & Mentorship: While this role has no initial direct reports, you will serve as the technical and strategic lead for the analytics org. You will mentor senior analysts, elevate the team's technical bar, and foster a culture of analytical excellence.
• AI & Automation Pioneering: Standardize the deployment of AI, machine learning, and advanced automation within the marketing analytics stack to accelerate insight generation and eliminate manual reporting overhead.

Practicals

• You'll report to: Senior Manager, Revenue Operations
• Team: Revenue Operations, Revenue Planning and Analytics
• Team size: Individual Contributor role with massive cross-functional influence (No direct reports)
• Location: For this position, we welcome everyone to apply, but we will prioritize applications from locations that align with our current regional team diversification strategies.
• Start date: As soon as possible

Application process

Roughly 3.5 hours across 3 weeks

1. Interview with recruiter
2. Interview with future manager
3. Interview with 2 marketing analytics team members
4. Interview with VP, Growth Marketing
5. Bar Raiser interview
6. Prior employment verification check

Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries.

At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce. We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally.

Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change.

At Remote, we foster internal mobility as a key element of our culture of employee growth and development, supported by a compensation philosophy that guarantees pay equity and fairness. Therefore, all compensation changes associated with an internal move will be reviewed by the Total Rewards & People Enablement team on a case by case basis.

The annual salary range for this full-time position is

$65,750—$184,950 USD

Benefits

Our full benefits & perks are explained in our handbook at remote.com/r/benefits. As a global company, each country works differently, but some benefits/perks are for all Remoters:

• work from anywhere
• flexible paid time off
• flexible working hours (we are async)
• 16 weeks paid parental leave
• mental health support services
• stock options
• learning budget
• home office budget & IT equipment
• budget for local in-person social events or co-working spaces

How you’ll plan your day (and life)

We work async at Remote which means you can plan your schedule around your life (and not around meetings). Read more at remote.com/async.

You will be empowered to take ownership and be proactive. When in doubt you will default to action instead of waiting. Your life-work balance is important and you will be encouraged to put yourself and your family first, and fit work around your needs.

If that sounds like something you want, apply now!

How to apply

1. Please fill out the form below and upload your CV with a PDF format.
2. We kindly ask you to submit your application and CV in English, as this is the standardised language we use here at Remote.
3. If you don’t have an up to date CV but you are still interested in talking to us, please feel free to add a copy of your LinkedIn profile instead.

Not only do we encourage folks from all ethnic groups, genders, sexuality, age, abilities, disability status and any other under-represented group to apply, but we prioritize a sense of belonging. We have 4 ERGs (Women, Disability, Queer, Minorities in Tech) who meet regularly with the People team. During your interviews and beyond, we ask & encourage anybody who needs an accommodation to request one from their recruiter.

We will ask you to voluntarily tell us your pronouns at interview stage, and you will have the option to answer our anonymous demographic questionnaire when you apply below. As an equal employment opportunity employer it’s important to us that our workforce reflects people of all backgrounds, identities, and experiences and this data will help us to stay accountable. We thank you for providing this data, if you chose to.

At Remote, we embrace AI as a valuable tool while prioritizing human creativity and authenticity. We look forward to meeting candidates who balance innovation with genuine expertise and experience. To learn more about Remote's AI guidelines check see here.

Please note we accept applications on an ongoing basis.

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with Grafana Cloud or self-managed with the Grafana Enterprise Stack, both featuring scalable metrics (Grafana Mimir), logs (Grafana Loki), and traces (Grafana Tempo).

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

The Opportunity:

We are looking for an expert in sales and analytics who can partner deeply and efficiently across our Go-To-Market and Finance organizations to help support high-tempo, data-driven decisions. Reporting to our Director of Analytics & Insights, this role will be part of a rapidly growing Revenue Operations team focused on bringing greater predictability and insight to the business and helping define our GTM strategy. To be successful, you will be able to operate in an unstructured, fast-paced environment and look forward to building the foundations for our future growth. You will bring a solid technical foundation across a wide variety of skills used in the GTM organization to tackle critical operational and business initiatives. You are deeply curious, intensely detail-oriented, and excited by new and challenging puzzles. Your background in Sales / Financial Analytics gives you the confidence to hit the ground running to define the building blocks of a sound data and analytics practice, but you continually look to tailor your models and insights to the unique attributes of the environment. You thrive collaborating with teammates who challenge you to grow every day, and your experience has given you the balanced ability to put a hard technical problem under a microscope without losing sight of the bigger picture required to effectively communicate with executive stakeholders.

What You’ll Be Doing:

• Design reliable, accurate, powerful, and easy-to-use dashboarding, tooling, and reporting to support Sales and operational teams
• Develop reliable, accurate data models to help define financial and business performance metrics, from source data down through user-friendly reporting layers
• Lead cross-functional projects to develop tooling and datasets in support of the needs of operational teams; provide continuous enablement for these teams to self-serve basic data needs using what Analytics & Insights constructs
• Optimize the information design across the GTM technology stack to enable the development of marketing, sales, and financial analytics
• Work closely with GTM leadership to prepare thoughtful analysis and insights for senior leadership.
• Manage urgent ad-hoc data analysis and QA support requests

What Makes You a Great Fit:

• Experience in a Sales or GTM organization, and familiar with common sales models like rep productivity, rep capacity, campaign influence, and quota modeling
• 5+ years of SQL experience: writing complex yet efficient SQL is a daily habit for you
• 3+ years of data visualization experience with one of the following tools: Tableau, Looker, Mode Analytics, Sisense
• Experience getting your hands dirty performing production-ready, user-focused data model development / building ETLs; familiarity with popular data warehouses (BigQuery, Snowflake, etc.)
• Experience with the following: Salesforce, BigQuery, dbt, NetSuite
• Excellent communication skills with senior management audiences- explain “what it is”, “why it matters”, and “what should we do” in terms of your data and analysis; deliver user-oriented datasets, KPIs, dashboards, and runbooks to ensure alignment with those audiences
• Previous experience with Grafana visualization, or a desire to invest the time to learn

Bonus Points For:

• Knowledge of financial metrics, revenue recognition
• 3+ years of production data model development
• 1+ years of Python / Spark / Scala - familiar with statistical and machine learning packages, as well as generating ad-hoc ETL jobs
• Project management experience
• Experience with documentation of datasets and tooling for MCP server ingestion, construction of AI skills and plugins
• Experience as a user of any of the following tools: Jira, Asana, Databricks, GitHub, Hightouch, Fivetran

Compensation and Rewards:

In the United States, the base compensation range for this role is $202,244 - $242,693. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

Why You’ll Thrive at Grafana Labs:

• 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
• Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
• Transparent Communication – Expect open decision-making and regular company-wide updates.
• Innovation-Driven – Autonomy and support to ship great work and try new things.
• Open Source Roots – Built on community-driven values that shape how we work.
• Empowered Teams – High trust, low ego culture that values outcomes over optics.
• Career Growth Pathways – Defined opportunities to grow and develop your career.
• Approachable Leadership – Transparent execs who are involved, visible, and human.
• Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
• In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
• Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.

Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow.

Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

#LI-Remote

For information about how your personal data is used once you’ve applied to a job, check out our privacy policy.

Who We Are:

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.

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.

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.

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.

Our Team Members:

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!

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.

Your Role:

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.

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).

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.

Things You Get To Do:

• Lead and develop three sub-teams: Platform Engineering & ETL, Analytics Engineering, and Data Science & Analytics. Manage leads, set priorities, and ensure delivery.
• Own the Data Lakehouse architecture: Trino, Iceberg/GCS, Airflow, Airbyte, Redpanda CDC, dbt. Make build-vs-buy decisions on tooling.
• Drive partner invoicing accuracy and evolution: ensure invoicing logic is versioned, reproducible, and scales with new pricing mechanisms and product launches.
• Deliver embedded analytics: expose warehouse data to partners via BrokerDash, SSR pipelines, and API-based reporting. Own row-level security and entitlements.
• 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.
• 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.
• Guide AI/ML enablement: oversee enterprise AI search, agent-based workflow automation, and LLM-powered analytics. Help balance vendor solutions with in-house development.
• Collaborate with Finance, Sales, Product, Compliance, and Customer Success to translate business needs into data products.
• Manage infrastructure costs: keep data + cloud cost ratio under target as AUC grows.
• Operate production systems: own on-call processes, incident response, and SLOs for data freshness, accuracy, and availability.

Who You Are (Must-Haves):

• 8+ years in data engineering or analytics, including 3+ years managing data teams (leads + ICs).
• Deep experience with modern data stack: dbt, Trino/Presto or equivalent query engines, Apache Iceberg or similar table formats, cloud object storage.
• Hands-on experience with ETL/ELT patterns at scale: CDC (Debezium/Kafka), batch (Airflow/dbt), streaming, and reverse ETL.
• Track record of building self-service analytics capabilities for non-technical stakeholders.
• Experience with financial data: trading, invoicing, revenue attribution, or regulatory reporting in fintech or financial services.
• Proficiency in Python and SQL. Comfortable reading code, reviewing PRs, and making architecture decisions.
• Experience managing distributed/remote teams across multiple time zones.
• Strong stakeholder management: you can translate between executive priorities and engineering execution.
• Experience with GCP (GKE, GCS, BigQuery migration), Kubernetes, Helm, Terraform.

Who You Might Be (Nice-to-Haves):

• Experience with brokerage or broker-dealer operations (clearing, settlement, market making, reconciliation).
• Familiarity with LLM/AI tooling: MCP, vector databases, enterprise search, conversational BI (WrenAI, Cube).
• Background in compliance analytics (AML/Actimize, KYC, margin calls).
• Exposure to open-source data catalogues (OpenMetadata, Collate) and data quality frameworks.

How We Take Care of You:

• Competitive Salary & Stock Options
• Health Benefits
• New Hire Home-Office Setup: One-time USD $500
• Monthly Stipend: USD $150 per month via a Brex Card

Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.

Recruitment Privacy Policy

To help keep everyone safe, we encourage all applicants to pay close attention to protect themselves during their job search. When applying for a position online you are at risk of being targeted by malicious actors looking for personal data. Please be aware we will only reach out via email using the domain quanata.com. Anything that does not match those domains should be ignored and considered a security risk.

About Us

Quanata is on a mission to help ensure a better world through context-based insurance solutions. We are an exceptional, customer centered team with a passion for creating innovative technologies, digital products, and brands. We blend some of the best Silicon Valley talent and cutting-edge thinking with the long-term backing of leading insurer, State Farm.

Learn more about us and our work at quanata.com

Our Team

Quanata, LLC is an insurance technology innovation company that engineers advanced risk prediction and prevention solutions, develops risk-focused acquisition capabilities, and builds/supports a full-stack, flexible, digital & increasingly AI-native insurance platform. This helps our primary clients, State Farm and HiRoad Assurance Company, adapt to evolving market needs. Quanata, LLC is wholly owned and funded by State Farm.

As a company that prioritizes an inclusive and positive culture, we believe the core of our success is in hiring talented people — across disciplines — who want to help us make a quantifiable impact.

The Role

We’re looking for an accomplished and well-rounded Actuary to revolutionize actuarial and risk solutions using Python, R, SQL or other cloud technology and advanced analytics tools.

Your day-to-day

1. Independent Execution - Independently analyze ratemaking, competitive analysis and customer data using actuarial and data analytics solutions to provide high-level rating recommendations and drive results
2. Regulatory Leadership - Lead the preparation and review of complex regulatory filings: this includes actuarial memo, rate indication, and modeling related supporting exhibits.
3. Proficient Modeling - Utilize GLM expertise and machine learning expertise build, validate and interpret GLM models, provide expert feedback to Data Science partners
4. Process Automation and Improvement - Proactively identify and executive initiatives to automate pricing, reserving and risk workflows using Python or other cloud technologies
5. Tool Development - Design, develop and maintain actuarial, risk and forecasting tools using relevant actuarial, statistical and data science methodologies.
6. Stakeholder Management - Act as a key resource for the team, translating complex technical findings into actionable strategies for internal and external stakeholders
7. Cross Functional Collaboration - Lead cross-functional collaborative effort to curate and support delivery of actuarial products and services, ensuring exceptional performance and identifying opportunities for growth and product expansion.
8. Strategic Contribution - Significantly contribute to the ideation and development of new product feature offerings, with direct involvement and ownership of analysis, technical design, and output.

About You

• BS/BA in Math, Statistics, Economics, Actuarial Science or similar or equivalent relevant experience
• 6-8 years of hands-on experience in P&C ratemaking, with a strong track record of automating actuarial solutions
• Deep programing experience in at least one of: Python (Pandas, NumPy, and Scikit-learn) or R (dplyr, ggplot2, caret)
• Solid understanding of statistical techniques including GLM, with the ability to build models and interpret results
• Progress towards ACAS/FCAS designation (expected to have passed 5+ exams)
• Expert knowledge of insurance fundamentals, including pricing methodologies, reserving techniques, and regulatory requirements
• Proficient SQL and modern data warehouses (Snowflake preferred).
• Experience using data visualization tools (Matplotlib, Seaborn,Tableau, or similar)
• Excellent communication for cross-functional collaboration
• Entrepreneurial mindset with a passion for innovation and driving new product development

Bonus Points

• Multi-language programming experience (Python + R + SQL) with cloud platform knowledge (AWS, Azure or similar)
• Experience building models using GLMs or other machine learning techniques
• Understanding of telematics data and usage based insurance model development
• Non-traditional actuarial experience (ridesharing, InsurTech) or full product lifecycle experience from concept to market launch

Salary: $210,000 to $260,000*

*Please note that the final salary offered will be determined based on the selected candidate's skills, and experience, as well as the internal salary structure at Quanata. Our aim is to offer a competitive and equitable compensation package that reflects the candidate's expertise and contributions to our organization.

Additional Details:

• Benefits: We provide a wide variety of health, wellness and other benefits.These include medical, dental, vision, life insurance and supplemental income plans for you and your dependents, a Headspace app subscription, monthly wellness allowance and a 401(k) Plan with a company match.
• Work from Home Equipment: Given our virtual environment— in order to set you up for success at home, a one-time payment of $2K will be provided to cover the purchase of in-home office equipment and furniture at your discretion. Also, our teams work with MacBook Pros, which we will deliver to you fully provisioned prior to your first day.
• Paid Time Off: All employees accrue four weeks of PTO in their first year of employment. New parents receive twelve weeks of fully paid parental leave which may be taken within one year after the birth and/or adoption of a child. The twelve weeks is applicable to both birthing and non-birthing parent.
• Personal and Professional Development: We’re committed to investing in and helping our people grow personally and professionally. All employees receive up to $5000 each year for professional learning, continuing education and career development. All team members also receive LinkedIn Learning subscriptions and access to multiple different coaching opportunities through BetterUp.
• Location: We are a remote-first company for most positions so you may work from anywhere you like in the U.S, excluding U.S. territories. For most positions, occasional travel may be requested or encouraged but is not required. Some positions might require travel per the job description provided to the employee. Employees based in the San Francisco Bay Area or in Providence, Rhode Island may commute to one of our local offices as desired.
• Hours: We maintain core meeting hours from 9AM - 2PM Pacific time for collaborating with team members across all time zones.

Quanata, LLC is an equal opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

If you are a San Francisco resident, please read the City and County of San Francisco's Fair Chance Ordinance notice. https://www.sf.gov/sites/https://www.sf.gov/sites/default/files/2022-12/FCO%20poster2020_0.pdf

This role is employed by Quanata, LLC which is a separate company in the State Farm family of companies.

If you require a reasonable accommodation, please reach out to your Talent Acquisition Partner for assistance.