Research Lead, Policy CommunicationsPosted today$347K–$385K

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

  • Build and manage a mixed-methods research program from initial questions: through study design, fieldwork, analysis, reporting, and documentation. Establish high standards for quality, consistency, and responsible research practice.

  • Design rigorous quantitative research, including surveys and longitudinal: studies. Oversee questionnaire design, sampling, weighting, vendor quality, analysis, and clear communication of uncertainty and limitations.

  • Lead qualitative research, including interviews and focus groups, to: understand how people interpret complex policy topics. Use these insights to improve the clarity, accuracy, and usefulness of policy communications.

  • Turn findings into executive-ready reports with practical recommendations for: Policy, Communications, Product, Marketing, Data Science, Legal, Privacy, and other partners. Build reusable research tools, benchmarks, and knowledge that strengthen decision-making over time.

  • We’re looking for a senior mixed-methods research leader who combines deep: quantitative and qualitative expertise with strong strategic judgment. You should be able to independently turn an ambiguous policy communications question into a rigorous well-scoped research plan, a clear interpretation of the evidence, and practical recommendations that teams can use.

  • You might thrive in this role if you: Bring substantial experience leading public-opinion, communications, policy, market, or behavioral research in a complex or fast-moving environment.

What they're looking for

  • Have deep survey-methods expertise, including questionnaire design, sampling,: weighting, panel and vendor quality, experimentation, statistical analysis, longitudinal research, and clear treatment of uncertainty.
  • Design and conduct or oversee strong qualitative research, including: recruitment, interviewing or moderation, synthesis, and integration with quantitative findings.
  • Have experience designing research across varied populations and judging: whether a sample can support the conclusions being drawn.
  • Translate research into clear communications, policy, and product: recommendations, and influence senior cross-functional partners when evidence challenges a preferred direction.