About the job
Join Our Impactful Team
At OpenAI, our UX Research team plays a pivotal role in shaping the future of AI technology. We are a dynamic group dedicated to bridging the gap between users, product innovation, and safety, ensuring that our advanced AI systems are designed with responsibility and genuine human needs in mind.
Our insights are crucial in guiding product decisions at OpenAI. We collaborate closely with product managers, designers, engineers, and leadership, tackling complex challenges in rapidly evolving environments where best practices are still in the process of being established.
This position is located in San Francisco, CA, and follows a hybrid work model, requiring three days in the office each week. Relocation assistance is available for qualified candidates.
Your Role and Responsibilities:
Conduct and implement quantitative research throughout the product lifecycle, from foundational insights to concept validation, prototyping, and usability assessments.
Collaborate with cross-functional teams, including product managers, designers, engineers, and data scientists, to pinpoint high-impact areas where quantitative insights can significantly influence product strategies.
Lead comprehensive, tailored studies that address both strategic and tactical inquiries, employing methodologies such as surveys, experimental designs, and behavioral data analysis.
Translate intricate data findings into clear, actionable recommendations that foster alignment and drive decision-making across diverse teams.
Utilize strong survey methodologies and statistical rigor to ensure research outcomes are valid, reliable, and ready for decision-making.
Shape product strategy through effective cross-functional collaboration and compelling storytelling tailored for various audiences.
Ideal Candidate Profile:
5+ years of experience in user experience research, market research, data science, or related fields, with a strong emphasis on quantitative methods.
Proficient in quantitative research techniques, including statistical analysis, experimental design, survey methodologies, and behavioral data assessment.
Advanced data analysis capabilities utilizing tools such as SQL and Python.
Exceptional communication skills, both written and verbal, with a proven ability to influence decision-making across all levels of an organization.
Demonstrated experience leading impactful quantitative research projects that have significantly influenced product and design decisions.
Familiarity with engaging senior stakeholders effectively.

