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Quantitative UX Researcher

266k – 385kSan Francisco, CAUX ResearchHybrid5+ YOE
Summary

Conduct quantitative UX research to inform product decisions at OpenAI, designing studies with surveys, experiments, and data analysis. Requires 5+ years experience, SQL/Python proficiency, and strong statistical skills.

About the role

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.
Skills
SQLPythonStatistical AnalysisExperimental DesignSurvey MethodologyBehavioral Data Analysis
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