Quantitative UX Researcher
About the team
The UX Research team is a small team with outsized impact across OpenAI. We sit at the intersection of users, product, and safety—helping ensure that powerful AI systems are built responsibly and grounded in real human needs.
Our work informs critical product decisions across OpenAI. We partner closely with product, design, engineering, and leadership to bring clarity to complex questions—often in fast-moving spaces where norms and best practices are still being defined.
This role is based in San Francisco, CA. We operate on a hybrid model with 3 days in the office each week and offer relocation assistance.
In this role, you will:
Design and execute quantitative research across the product lifecycle, from foundational understanding to concept validation, prototyping, and usability evaluation.
Partner with product managers, designers, engineers, and data scientists to identify high-impact opportunities where quantitative insights can meaningfully shape product decisions.
Lead rigorous, customized studies that answer both strategic and tactical questions, using methods such as surveys, experiments, and behavioral data analysis.
Translate complex data into clear, actionable recommendations that drive alignment and decision-making across teams.
Apply strong survey methodology and statistical rigor to ensure findings are valid, reliable, and decision-ready.
Influence product direction through close cross-functional collaboration and clear, audience-appropriate storytelling.
You might thrive in this role if you have:
5+ years of experience working in user experience research, market research, data science, and/or a related field with a strong focus on quantitative methods.
Expertise in quantitative research, with proficiency in statistical analysis, experimental design, survey methodology, and behavioral data analysis.
Strong data analysis skills using tools such as SQL and Python.
Exceptional written and verbal communication skills, with the ability to influence decision-making at all levels.
Proven experience leading quantitative research projects that have made a lasting impact on product and design decisions.
Experience working with senior stakeholders.
A drive for excellence and the ability to consistently raise the bar.
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.
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. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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