Data Scientist, Platform and B2B Products

About the Team OpenAI’s Platform team powers how millions of developers and enterprises build with our models. We provide APIs and agentic solutions used by global startups and fortune 500s. We work closely with product, engineering, design, and go-to-market to build a world-class platform that pushes the frontier of AI capabilities. About the Role As a Data Scientist on the Platform team, you will drive a data-driven culture for OpenAI’s API and B2B solutions. You’ll define the metrics that matter for developer success and enterprise value, measure the impact of new models and features, and partner with PMs and engineers to improve model quality, reliability, latency, and cost. Your work will shape how thousands of products adopt agentic AI. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will - Embed with the Platform product team as a trusted partner, uncovering ways to improve developer experience, reliability, and usage growth - Define north-star metrics across the developer funnel (activation, retention, growth), as well as latency/cost guardrails for new features and models - Design and interpret A/B tests and controlled rollouts (e.g., new model versions, pricing/limits, new API features, new B2B products) - Build source-of-truth dashboards and self-serve data tools for product, engineering, and go-to-market teams - Translate product learnings into actionable feedback for Research (e.g., failure modes, eval gaps, model response quality) You might thrive in this role if you have - 5+ years in a quantitative role in ambiguous, high-growth environments (platforms, APIs, or B2B products a plus) - Depth in SQL and Python, with a track record proposing, designing, and running rigorous experiments - Experience defining and operationalizing metrics from scratch (including reliability/latency/cost and safety) - Strong cross-functional communication with PMs, engineers, and executives - Strategic instincts beyond p-values—clear thinking about tradeoffs and business impact You could be an especially great fit if you have - Background in developer platforms, observability, or usage-based pricing/quotas - Experience connecting offline evals to online product impact - Prior work in NLP/LLMs or agentic systems, or in enterprise analytics for B2B products About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

5+ years in a quantitative role in ambiguous, high-growth environments (platforms, APIs, or B2B products a plus). Depth in SQL and Python, with a track record proposing, designing, and running rigorous experiments. Experience defining and operationalizing metrics from scratch (including reliability/latency/cost and safety). Strong cross-functional communication with PMs, engineers, and executives. Strategic instincts beyond p-values—clear thinking about tradeoffs and business impact.

Embed with the Platform product team as a trusted partner, uncovering ways to improve developer experience, reliability, and usage growth. Define north-star metrics across the developer funnel (activation, retention, growth), as well as latency/cost guardrails for new features and models. Design and interpret A/B tests and controlled rollouts (e.g., new model versions, pricing/limits, new API features, new B2B products). Build source-of-truth dashboards and self-serve data tools for product, engineering, and go-to-market teams. Translate product learnings into actionable feedback for Research (e.g., failure modes, eval gaps, model response quality).