OpenAI

San Francisco

Quantitative UX Researcher

FULL TIME ON-SITE MID
Posted 5 days ago

Role Overview

This role is for a Quantitative UX Researcher within a small team that has outsized impact across OpenAI. You will sit at the intersection of users, product, and safety, ensuring powerful AI systems are built responsibly and grounded in human needs. Your work will inform critical product decisions by bringing clarity to complex questions in fast-moving spaces.

Key Responsibilities

  • Design and execute quantitative research across the entire product lifecycle.
  • Partner with cross-functional teams to identify high-impact opportunities for quantitative insights.
  • Lead rigorous studies using methods like surveys, experiments, and behavioral data analysis.
  • Translate complex data into clear, actionable recommendations for decision-making.
  • Apply strong survey methodology and statistical rigor to ensure valid and reliable findings.
  • Influence product direction through close collaboration and audience-appropriate storytelling.

Requirements Snapshot

  • 5+ years of experience in UX research, market research, or data science with a quantitative focus.
  • Expertise in quantitative research, statistical analysis, experimental design, and survey methodology.
  • Strong data analysis skills using tools such as SQL and Python.
  • Exceptional written and verbal communication skills to influence decision-making.
  • Proven experience leading quantitative research projects that impacted product and design.

Expected Impact

This role will significantly shape product decisions by providing clear, actionable quantitative insights. You will ensure that powerful AI systems are built responsibly and grounded in real human needs, influencing product direction through rigorous research and cross-functional collaboration. Your work will have an outsized impact across OpenAI, bringing clarity to complex questions in a fast-moving environment.

This summary was generated from the original job posting (AI-assisted, human-reviewed). For full details, visit the company's site.

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