Senior Product Policy Lead, Regulation

Senior Product Policy Lead, Regulation | OpenAI

Careers

The Product Policy team develops and implements policies that shape how OpenAI’s technology is built and used. We work with teams across the company to turn complex questions about AI’s benefits and risks into practical guidance for responsible research, product development, and deployment.

As Product Policy Manager, Regulation, you will map external regulatory and legislative trends and synthesize them into concrete research, product, and policy requirements. You will connect deep expertise in regulation and public policy with a sophisticated understanding of AI and strong product judgment. Your remit will span frontier AI, youth, wellbeing, use in high-stakes domains, deceptive use, and other emerging issues.

Working closely with Legal and Global Affairs, you will help Product, Engineering, Research, and Safety teams understand what external developments mean for their work, what decisions or evidence are needed, and how to act.

We’re looking for someone who combines deep regulatory and public-policy expertise with an in-depth understanding of AI and a demonstrated ability to advise product and engineering teams. You should be able to move from complex external developments to clear decisions and requirements that teams can implement.

This role can be based in San Francisco or remote. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

• Map and prioritize regulatory and legislative developments across jurisdictions and AI issue areas. Distinguish enacted requirements, proposals, guidance, and emerging expectations; assess their relevance, uncertainty, timing, and implications for our models and products.

• Translate external developments into actionable research questions, evaluation needs, product requirements, and policy recommendations. Identify gaps in evidence, define the intended outcome and acceptance criteria, and make tradeoffs and open questions clear.

• Advise Product, Engineering, Research, and Safety teams throughout design, launch, and iteration. Partner 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.

• Maintain traceability from external signals to internal decisions, requirements, and implementation. Track material changes, surface dependencies and emerging risks, and use research, product evidence, and expert input to refine recommendations and inform external policy discussions.

• Bring 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.

• Understand AI deeply, including model capabilities and limitations, training and deployment, evaluations, and safety mitigations. You can reason about how requirements differ at the model, product, and deployment levels and identify where further research is needed.

• Have a strong record of product advising and close partnership with product managers, engineers, and researchers. You can turn ambiguous concerns into specifications, implementation options, acceptance criteria, and decisions that improve products.

• Exercise sound judgment under uncertainty, prioritize across a broad portfolio, and manage work from an emerging external signal through implementation and iteration.

• Communicate clearly and precisely with technical teams, legal and policy experts, and executives. You can explain regulatory complexity, distinguish evidence from…