The opportunity
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.
What you'll do
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.
What they're looking for
- 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 assumptions, and resolve disagreement constructively.
- Bring breadth across AI policy issues—including frontier risks, youth,: wellbeing, high-stakes uses, and deceptive use—and the ability to build depth quickly with subject-matter experts, research, data, and user insights.
