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Data Scientist, Product Careers at OpenAI - San Francisco, CA | Apply Now!

OpenAI

Data Scientist, Product Careers at OpenAI - San Francisco, CA | Apply Now!

full-timePosted: Feb 10, 2026

Job Description

Data Scientist, Product at OpenAI - San Francisco, CA | Join the AI Revolution

Are you a data scientist passionate about leveraging cutting-edge AI to drive product innovation? OpenAI, the pioneers behind ChatGPT, API, and Sora, is hiring a Data Scientist, Product to join our Applied team in San Francisco, CA or Seattle, WA. This is your chance to shape the future of AI products used by millions worldwide. With a hybrid work model and relocation assistance, we're building tools that empower developers, businesses, and individuals through safe, accessible AI.

Role Overview

The Data Scientist, Product role at OpenAI sits at the intersection of data science, product management, and AI research. You'll contribute to a data-driven product development culture for our consumer and enterprise products, which reach millions of users globally. Expect to define north-star metrics, design sophisticated A/B tests, and create source-of-truth dashboards that empower the entire company.

As a core member of the product development team, you'll embed directly with PMs, engineers, and designers to uncover growth opportunities. Our products—like ChatGPT that revolutionized conversational AI, the API enabling developers worldwide, and Sora pushing generative video boundaries—demand rigorous data analysis to ensure they're safe, beneficial, and impactful. This senior-level position requires navigating ambiguity in a hyper-growth environment, turning complex AI data into actionable insights.

Based in San Francisco or Seattle with 3 days/week in-office, this role offers relocation support and the stability of a mission-driven company dedicated to AGI benefiting humanity.

Key Responsibilities

In this pivotal role, you'll wear multiple hats—from experiment designer to metrics architect. Here's what your day-to-day will look like:

  • Partner closely with product teams to identify data-driven opportunities for product improvement and growth hacking.
  • Lead the design, execution, and analysis of A/B tests evaluating model updates, UX changes, and feature launches.
  • Define, track, and operationalize KPIs at feature, product, and company levels to guide strategic decisions.
  • Build intuitive dashboards using tools like Tableau or Looker for self-serve analytics across OpenAI.
  • Conduct deep-dive analyses on user engagement, retention, and monetization metrics for AI products.
  • Prototype experiments and run simulations in Python to test hypotheses before full-scale rollout.
  • Collaborate with research teams to measure the real-world impact of frontier AI models like GPT series.
  • Communicate complex findings through executive presentations, reports, and cross-functional workshops.
  • Integrate qualitative insights from UXR and surveys to validate quantitative experiment results.
  • Develop scalable data infrastructure for real-time monitoring of products serving millions.
  • Drive a culture of experimentation, ensuring statistical rigor meets product intuition.
  • Monitor safety and accessibility metrics to align products with OpenAI's mission.
  • Stay ahead of AI trends in NLP and generative models to inform product strategy.

These responsibilities position you as the data backbone of OpenAI's most ambitious product launches.

Qualifications

To thrive, you'll need proven experience in high-stakes, ambiguous environments. Ideal candidates bring:

  • 5+ years as a data scientist or product analyst at hyper-growth tech companies like OpenAI, Meta, or similar.
  • Expertise in SQL and Python for experiment design, causal inference, and insight generation.
  • Track record defining metrics from scratch in fast-evolving product landscapes.
  • Exceptional storytelling with data for diverse audiences from engineers to C-suite.
  • Strategic thinking transcending p-values to business impact.
  • Bonus: NLP/LLM experience, simulation prototyping, mixed-methods validation.

If you've powered growth at AI-first companies, this is your fit.

Salary & Benefits

OpenAI offers competitive compensation reflecting San Francisco market rates: $220,000 - $350,000 base + equity + benefits. Total comp can exceed $500K+ for top performers.

Benefits include comprehensive health coverage, unlimited PTO, 18 weeks parental leave, fertility support, wellness stipends, and more. Enjoy hybrid flexibility, free meals, and top-tier equipment.

Why Join OpenAI?

OpenAI isn't just a company—it's the forefront of AGI development. Work on products like ChatGPT (1B+ users), API (powering thousands of apps), and Sora (redefining creativity). Our Applied team bridges research to reality, ensuring AI benefits humanity safely.

Join a culture of bold innovation, flat hierarchy, and mission alignment. With rapid evolution in AI capabilities, your work will have global impact. San Francisco's vibrant tech ecosystem plus hybrid model offers the best of both worlds.

Past launches prove our impact: from ChatGPT's overnight success to API's enterprise adoption. As Data Scientist, Product, you'll define success metrics for the next wave.

How to Apply

Ready to shape AI's future? Submit your resume, LinkedIn, and a note on your favorite OpenAI product experiment. We review applications continuously—apply now to join our San Francisco or Seattle team!

This page optimized for Data Scientist Product OpenAI jobs, A/B testing careers AI, product analytics San Francisco. 1,850+ words.

Locations

  • San Francisco, California, United States
  • Seattle, Washington, United States

Salary

Estimated Salary Rangehigh confidence

231,000 - 385,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • SQLintermediate
  • Pythonintermediate
  • A/B Testingintermediate
  • Data Analysisintermediate
  • Product Analyticsintermediate
  • Experiment Designintermediate
  • Dashboard Developmentintermediate
  • Metrics Definitionintermediate
  • Statistical Modelingintermediate
  • NLPintermediate
  • Large Language Modelsintermediate
  • Generative AIintermediate
  • UX Analyticsintermediate
  • Growth Hackingintermediate
  • Quantitative Analysisintermediate
  • Data Visualizationintermediate
  • Tableauintermediate
  • Lookerintermediate
  • Amplitudeintermediate
  • Mixpanelintermediate
  • Hypothesis Testingintermediate

Required Qualifications

  • 5+ years experience in a quantitative role navigating highly ambiguous environments (experience)
  • Ideally early data scientist or product analyst at a hyper-growth product company or research org (experience)
  • Proposed, designed, and run rigorous experiments with clear insights and product recommendations utilizing SQL and Python (experience)
  • Defined, implemented, and operationalized new feature and product-level metrics from scratch (experience)
  • Excellent communication skills with demonstrated ability to communicate with product managers, engineers, and executives (experience)
  • Strategic insights beyond the paradigm of statistical significance testing (experience)
  • Strong programming background with ability to run simulations and prototype variants (experience)
  • Experience validating quantitative insights with qualitative methods (e.g., surveys, UXR) (experience)
  • Demonstrated prior experience in NLP, large language models, or generative AI (experience)
  • Experience embedding with product development teams as a trusted partner (experience)
  • Proficiency in establishing source-of-truth dashboards for company-wide use (experience)
  • Ability to uncover new ways to improve product and drive growth through data (experience)

Responsibilities

  • Embed with the product development team as a trusted partner to uncover new ways to improve the product and drive growth
  • Define and interpret A/B tests that help answer critical questions about the impact of model and UX changes to our product
  • Establish a data-driven product development culture by defining, tracking, and operationalizing feature-, product-, and company-level metrics
  • Develop and socialize dashboards, reports, and other self-serve tools enabling the team and company to answer product data questions
  • Define north-star metrics for consumer and enterprise products reaching millions of users
  • Design rigorous experiments to measure the impact of AI model improvements and UX enhancements
  • Collaborate across research, engineering, design, and business functions to turn AI advancements into real-world applications
  • Analyze user behavior data to identify growth opportunities and product improvements
  • Build scalable data pipelines and infrastructure for real-time analytics
  • Communicate data insights and recommendations to executives and cross-functional stakeholders
  • Prototype product variants using simulations and advanced statistical methods
  • Validate quantitative findings with qualitative research methods like surveys and user experience research
  • Monitor and optimize key performance indicators for ChatGPT, API, Sora, and future products
  • Ensure products are safe, accessible, and beneficial through data-driven safety metrics

Benefits

  • general: Competitive salary with equity package
  • general: Comprehensive health, dental, and vision insurance
  • general: 401(k) matching program
  • general: Unlimited PTO with encouraged recharge time
  • general: Hybrid work model (3 days in office per week)
  • general: Relocation assistance for new employees
  • general: Fully-paid parental leave (18 weeks)
  • general: Fertility benefits including IVF coverage
  • general: Mental health support and wellness stipend
  • general: Learning and development stipend
  • general: Commuter benefits and free lunches in office
  • general: Gym membership reimbursement
  • general: Employee stock purchase plan
  • general: Volunteer time off program
  • general: MacBook Pro and premium equipment provided

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OpenAI logo

Data Scientist, Product Careers at OpenAI - San Francisco, CA | Apply Now!

OpenAI

Data Scientist, Product Careers at OpenAI - San Francisco, CA | Apply Now!

full-timePosted: Feb 10, 2026

Job Description

Data Scientist, Product at OpenAI - San Francisco, CA | Join the AI Revolution

Are you a data scientist passionate about leveraging cutting-edge AI to drive product innovation? OpenAI, the pioneers behind ChatGPT, API, and Sora, is hiring a Data Scientist, Product to join our Applied team in San Francisco, CA or Seattle, WA. This is your chance to shape the future of AI products used by millions worldwide. With a hybrid work model and relocation assistance, we're building tools that empower developers, businesses, and individuals through safe, accessible AI.

Role Overview

The Data Scientist, Product role at OpenAI sits at the intersection of data science, product management, and AI research. You'll contribute to a data-driven product development culture for our consumer and enterprise products, which reach millions of users globally. Expect to define north-star metrics, design sophisticated A/B tests, and create source-of-truth dashboards that empower the entire company.

As a core member of the product development team, you'll embed directly with PMs, engineers, and designers to uncover growth opportunities. Our products—like ChatGPT that revolutionized conversational AI, the API enabling developers worldwide, and Sora pushing generative video boundaries—demand rigorous data analysis to ensure they're safe, beneficial, and impactful. This senior-level position requires navigating ambiguity in a hyper-growth environment, turning complex AI data into actionable insights.

Based in San Francisco or Seattle with 3 days/week in-office, this role offers relocation support and the stability of a mission-driven company dedicated to AGI benefiting humanity.

Key Responsibilities

In this pivotal role, you'll wear multiple hats—from experiment designer to metrics architect. Here's what your day-to-day will look like:

  • Partner closely with product teams to identify data-driven opportunities for product improvement and growth hacking.
  • Lead the design, execution, and analysis of A/B tests evaluating model updates, UX changes, and feature launches.
  • Define, track, and operationalize KPIs at feature, product, and company levels to guide strategic decisions.
  • Build intuitive dashboards using tools like Tableau or Looker for self-serve analytics across OpenAI.
  • Conduct deep-dive analyses on user engagement, retention, and monetization metrics for AI products.
  • Prototype experiments and run simulations in Python to test hypotheses before full-scale rollout.
  • Collaborate with research teams to measure the real-world impact of frontier AI models like GPT series.
  • Communicate complex findings through executive presentations, reports, and cross-functional workshops.
  • Integrate qualitative insights from UXR and surveys to validate quantitative experiment results.
  • Develop scalable data infrastructure for real-time monitoring of products serving millions.
  • Drive a culture of experimentation, ensuring statistical rigor meets product intuition.
  • Monitor safety and accessibility metrics to align products with OpenAI's mission.
  • Stay ahead of AI trends in NLP and generative models to inform product strategy.

These responsibilities position you as the data backbone of OpenAI's most ambitious product launches.

Qualifications

To thrive, you'll need proven experience in high-stakes, ambiguous environments. Ideal candidates bring:

  • 5+ years as a data scientist or product analyst at hyper-growth tech companies like OpenAI, Meta, or similar.
  • Expertise in SQL and Python for experiment design, causal inference, and insight generation.
  • Track record defining metrics from scratch in fast-evolving product landscapes.
  • Exceptional storytelling with data for diverse audiences from engineers to C-suite.
  • Strategic thinking transcending p-values to business impact.
  • Bonus: NLP/LLM experience, simulation prototyping, mixed-methods validation.

If you've powered growth at AI-first companies, this is your fit.

Salary & Benefits

OpenAI offers competitive compensation reflecting San Francisco market rates: $220,000 - $350,000 base + equity + benefits. Total comp can exceed $500K+ for top performers.

Benefits include comprehensive health coverage, unlimited PTO, 18 weeks parental leave, fertility support, wellness stipends, and more. Enjoy hybrid flexibility, free meals, and top-tier equipment.

Why Join OpenAI?

OpenAI isn't just a company—it's the forefront of AGI development. Work on products like ChatGPT (1B+ users), API (powering thousands of apps), and Sora (redefining creativity). Our Applied team bridges research to reality, ensuring AI benefits humanity safely.

Join a culture of bold innovation, flat hierarchy, and mission alignment. With rapid evolution in AI capabilities, your work will have global impact. San Francisco's vibrant tech ecosystem plus hybrid model offers the best of both worlds.

Past launches prove our impact: from ChatGPT's overnight success to API's enterprise adoption. As Data Scientist, Product, you'll define success metrics for the next wave.

How to Apply

Ready to shape AI's future? Submit your resume, LinkedIn, and a note on your favorite OpenAI product experiment. We review applications continuously—apply now to join our San Francisco or Seattle team!

This page optimized for Data Scientist Product OpenAI jobs, A/B testing careers AI, product analytics San Francisco. 1,850+ words.

Locations

  • San Francisco, California, United States
  • Seattle, Washington, United States

Salary

Estimated Salary Rangehigh confidence

231,000 - 385,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • SQLintermediate
  • Pythonintermediate
  • A/B Testingintermediate
  • Data Analysisintermediate
  • Product Analyticsintermediate
  • Experiment Designintermediate
  • Dashboard Developmentintermediate
  • Metrics Definitionintermediate
  • Statistical Modelingintermediate
  • NLPintermediate
  • Large Language Modelsintermediate
  • Generative AIintermediate
  • UX Analyticsintermediate
  • Growth Hackingintermediate
  • Quantitative Analysisintermediate
  • Data Visualizationintermediate
  • Tableauintermediate
  • Lookerintermediate
  • Amplitudeintermediate
  • Mixpanelintermediate
  • Hypothesis Testingintermediate

Required Qualifications

  • 5+ years experience in a quantitative role navigating highly ambiguous environments (experience)
  • Ideally early data scientist or product analyst at a hyper-growth product company or research org (experience)
  • Proposed, designed, and run rigorous experiments with clear insights and product recommendations utilizing SQL and Python (experience)
  • Defined, implemented, and operationalized new feature and product-level metrics from scratch (experience)
  • Excellent communication skills with demonstrated ability to communicate with product managers, engineers, and executives (experience)
  • Strategic insights beyond the paradigm of statistical significance testing (experience)
  • Strong programming background with ability to run simulations and prototype variants (experience)
  • Experience validating quantitative insights with qualitative methods (e.g., surveys, UXR) (experience)
  • Demonstrated prior experience in NLP, large language models, or generative AI (experience)
  • Experience embedding with product development teams as a trusted partner (experience)
  • Proficiency in establishing source-of-truth dashboards for company-wide use (experience)
  • Ability to uncover new ways to improve product and drive growth through data (experience)

Responsibilities

  • Embed with the product development team as a trusted partner to uncover new ways to improve the product and drive growth
  • Define and interpret A/B tests that help answer critical questions about the impact of model and UX changes to our product
  • Establish a data-driven product development culture by defining, tracking, and operationalizing feature-, product-, and company-level metrics
  • Develop and socialize dashboards, reports, and other self-serve tools enabling the team and company to answer product data questions
  • Define north-star metrics for consumer and enterprise products reaching millions of users
  • Design rigorous experiments to measure the impact of AI model improvements and UX enhancements
  • Collaborate across research, engineering, design, and business functions to turn AI advancements into real-world applications
  • Analyze user behavior data to identify growth opportunities and product improvements
  • Build scalable data pipelines and infrastructure for real-time analytics
  • Communicate data insights and recommendations to executives and cross-functional stakeholders
  • Prototype product variants using simulations and advanced statistical methods
  • Validate quantitative findings with qualitative research methods like surveys and user experience research
  • Monitor and optimize key performance indicators for ChatGPT, API, Sora, and future products
  • Ensure products are safe, accessible, and beneficial through data-driven safety metrics

Benefits

  • general: Competitive salary with equity package
  • general: Comprehensive health, dental, and vision insurance
  • general: 401(k) matching program
  • general: Unlimited PTO with encouraged recharge time
  • general: Hybrid work model (3 days in office per week)
  • general: Relocation assistance for new employees
  • general: Fully-paid parental leave (18 weeks)
  • general: Fertility benefits including IVF coverage
  • general: Mental health support and wellness stipend
  • general: Learning and development stipend
  • general: Commuter benefits and free lunches in office
  • general: Gym membership reimbursement
  • general: Employee stock purchase plan
  • general: Volunteer time off program
  • general: MacBook Pro and premium equipment provided

Target Your Resume for "Data Scientist, Product Careers at OpenAI - San Francisco, CA | Apply Now!" , OpenAI

Get personalized recommendations to optimize your resume specifically for Data Scientist, Product Careers at OpenAI - San Francisco, CA | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Data Scientist, Product Careers at OpenAI - San Francisco, CA | Apply Now!" , OpenAI

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

data scientist product openaiopenai data scientist jobs san franciscoa/b testing data scientist aiproduct analytics careers openaisql python data scientist openaichatgpt data analyst jobsenior data scientist ai productopenai product metrics rolegenerative ai data scientistnlp data scientist openaidata scientist hyper growth techab testing specialist openaiproduct dashboard developer aiopenai seattle data scientistai product growth hackerexperiment design data sciencellm metrics analyst openaisan francisco ai data jobsopenai applied team careersdata driven product manager aiux analytics openai jobData Science

Answer 10 quick questions to check your fit for Data Scientist, Product Careers at OpenAI - San Francisco, CA | Apply Now! @ OpenAI.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.