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OpenAI's Product Policy team develops and implements policies that shape how the company's AI technology is built and used. As Senior Product Policy Manager, Regulation, you will map external regulatory and legislative trends and translate them into concrete research, product, and policy requirements for the organization.
You will combine deep expertise in AI regulation and public policy with sophisticated product judgment to advise teams across Product, Engineering, Research, and Safety. Your remit spans frontier AI, youth safety, wellbeing, high-stakes domain applications, deceptive use, and other emerging policy issues. You will work closely with Legal and Global Affairs teams to help internal stakeholders understand regulatory developments, identify what decisions or evidence are needed, and determine how to act.
Key responsibilities include:
- Mapping and prioritizing regulatory and legislative developments across jurisdictions and AI issue areas, distinguishing between enacted requirements, proposals, guidance, and emerging expectations; assessing relevance, uncertainty, timing, and implications for OpenAI's models and products.
- Translating external developments into actionable research questions, evaluation needs, product requirements, and policy recommendations. Identifying evidence gaps, defining intended outcomes and acceptance criteria, and clarifying tradeoffs and open questions.
- Advising Product, Engineering, Research, and Safety teams throughout design, launch, and iteration cycles. Partnering with Legal on legal interpretation and applicability, and with Global Affairs on legislative context and external engagement, to develop feasible implementation options and clear ownership.
- Maintaining traceability from external signals to internal decisions, requirements, and implementation. Tracking material changes, surfacing dependencies and emerging risks, and using research, product evidence, and expert input to refine recommendations and inform external policy discussions.
The role is based in San Francisco with a hybrid work model of 3 days in the office per week. Relocation assistance is available.
Requirements:
- Substantial experience in AI or technology regulation, public policy, product policy, or a related field, including interpreting complex regulatory and legislative developments across jurisdictions and translating them into action.
- Deep understanding of AI, including model capabilities and limitations, training and deployment, evaluations, and safety mitigations. Ability to reason about how requirements differ at the model, product, and deployment levels and identify where further research is needed.
- Strong record of product advising and close partnership with product managers, engineers, and researchers. Demonstrated ability to turn ambiguous concerns into specifications, implementation options, acceptance criteria, and decisions that improve products.
- Sound judgment under uncertainty, ability to prioritize across a broad portfolio, and capability to manage work from emerging external signals through implementation and iteration.
- Clear and precise communication with technical teams, legal and policy experts, and executives. Ability to explain regulatory complexity, distinguish evidence from assumptions, and resolve disagreement constructively.
- Breadth across AI policy issues—including frontier risks, youth, wellbeing, high-stakes uses, and deceptive use—and ability to build depth quickly with subject-matter experts, research, data, and user insights.
