Data Scientist, Platform and B2B Products
OpenAI - San Francisco, California, United States
Posted Sep 30, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Data Scientist, Platform and B2B Products San Francisco, California, United States 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.,
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