Product Policy - Data Scientist

OpenAI
Product PolicyPosted 23 February 2026

Job Description

About the TeamThe Product Research team partners closely with Product Management, Design, Engineering, and Policy to ensure OpenAI builds products that are useful, usable, and responsible. We help teams understand user needs, evaluate product concepts, and validate experiences across the full product lifecycle—from early exploration through launch and iteration.Our work directly informs how OpenAI’s products evolve, ensuring that we deliver experiences that meet real-world needs while upholding OpenAI’s mission to ensure AI benefits all of humanity.About the roleAs a Product Policy - Data Scientist, you will design and lead high-impact research that shapes OpenAI’s product strategy and user experience. You’ll work across multiple product teams to generate insights that influence product decisions, inform design direction, and improve how people interact with AI.You will own research from start to finish—partnering with stakeholders to define the right questions, choosing the best methods, executing studies, and turning findings into clear, actionable recommendations. This role requires someone who can balance rigor with speed, bring clarity to ambiguity, and confidently influence cross-functional partners at all levels.This role is based in the San Francisco Bay Area and requires being in the office three days per week to collaborate closely with cross-functional partners.We're looking for people who:Partner with product managers, designers, and engineers to identify and prioritize research opportunities that improve product decisions and user experienceDesign and execute high-quality qualitative and quantitative research across all stages of product development, including foundational research, concept testing, prototyping, and usability testingLead end-to-end research projects, from scoping and study design through recruitment, fieldwork, analysis, and reportingTranslate complex research findings into clear, compelling insights that inform product strategy and design directionPresent findings and recommendations to senior leadership and key stakeholdersBalance rigor and speed by adapting methods to timelines while maintaining high standards for data quality and validityIn this role, you will:7+ years of experience in user experience research, market research, or a related fieldDeep expertise in mixed-methods research, with strong qualitative skills and the ability to conduct and analyze quantitative studies at scaleProven experience leading research that has shaped product or design decisionsExceptional written and verbal communication skills, with the ability to influence across disciplines and levelsExperience working with senior stakeholders and cross-functional teamsYou might thrive in this role if. you:Experience with advanced quantitative methods (e.g., MaxDiff, conjoint, segmentation)Experience working with executive audiences or large enterprise clientsAbout OpenAIOpenAI 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.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 consist ... (truncated, view full listing at source)
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