Research Program Manager, Safety Measurement
OpenAI · San Francisco
About this role
## About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models—helping ensure models are deployed responsibly and have a positive impact on society. Work spans system-level safeguards, model training, evaluation, and red-teaming to mitigate misuse and maintain a high bar for safety. ## About the Role The **Safety Measurement Research Program Manager** drives OpenAI’s strategy for safety measurement and evaluations. You’ll partner with safety research, data science, and engineering to advance how we measure harm and safeguard efficacy across research and production. You’ll work directly with researchers, data scientists, policy owners, and product teams to identify the most important problems to solve, and to shape the data, dashboards, tools, and workflows used by those teams. This role blends measurement expertise, product judgment, and cross-functional execution—from problem definition through rollout and iteration. **Location:** San Francisco, CA (relocation assistance available) ## In this role, you will: - Define strategic priorities and product roadmaps to improve safety measurement and evaluation approaches, and scale the measurement platform to new use cases and products. - Partner with research, data science, engineering, policy, and other stakeholders to build a vision for understanding safety outcomes and prevalence across products—and translate it into concrete programs. - Integrate cutting-edge AI safety research into OpenAI’s safety measurement and evaluation platforms, navigating technical tradeoffs, coordinating dependencies, and resolving blockers. - Develop and continuously refine clear, actionable success criteria for safety measurement and evals. - Represent quantitative progress on safety to senior leadership. ## You might thrive in this role if you: - Have **6+ years** of experience in research program management, technical program management, product management, or related roles, with expertise in AI safety, trust & safety, integrity, or related domains. - Have a strong foundation in **data science, statistics, economics, or a related field**, with hands-on experience in measurement or evaluations. - Enjoy working at the intersection of data science and AI safety research—turning evolving measurement needs into requirements, priorities, and roadmaps. - Can independently drive complex, cross-functional programs from problem definition through rollout, building alignment and unblocking decisions in ambiguous spaces. - Ask incisive questions, challenge assumptions, and exercise sound judgment about technical tradeoffs and the strengths/limitations of metrics and evaluations. - Build strong partnerships across research, data science, engineering, policy, and product, and communicate complex findings clearly to technical teams and leadership. - Are curious about AI safety and its societal impacts—learn new domains quickly and adapt as research and priorities evolve. ## About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring general-purpose AI benefits all of humanity. OpenAI is an equal opportunity employer and is committed to providing reasonable accommodations to applicants with disabilities.
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