Research Program Manager, Safety Measurement

About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. About the Role The Safety Measurement Research Program Manager drives OpenAI’s strategy for safety measurement and evaluations, partnering closely with safety research, data science, and engineering to advance how we measure harm and safeguard efficacy across research and production. You will work directly with researchers, data scientists, policy owners, and product teams who contribute to or use our measurement systems, identifying the most important problems to solve and shaping the data, dashboards, tools, and workflows we build for them. This role combines measurement expertise, product judgment, and cross-functional execution: you will engage with evaluation results and data workflows, make prioritization tradeoffs, and drive work from problem definition through rollout and iteration. This position is based in San Francisco, CA, with relocation assistance available. In this role, you will: - Define strategic priorities and product roadmaps to improve safety measurement and evaluation approaches and scale our measurement platform to new use cases, products, and the needs of cross-functional teams - Partner closely with research, data science, engineering, policy teams, and other stakeholders to craft a vision for understanding safety outcomes and prevalence across our products, and translate that vision into concrete programs of work. - Drive the integration of cutting-edge AI safety research into OpenAI’s safety measurement and evaluation platforms, working with researchers, data scientists, and engineers to navigate technical tradeoffs, coordinate dependencies, and resolve blockers. - Develop and continuously refine clear, actionable success criteria that effectively capture our ambitions with 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, and hands-on experience with measurement or evaluations. - Enjoy working at the intersection of data science and AI safety research, translating evolving measurement needs into clear 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 and 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 that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.  We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. 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