Staff UX Researcher (Quantitative Research)

Location: San Francisco; hybrid schedule with in-office work required 3 days per week on Mondays, Wednesdays, and Thursdays

Salary: $212,000–$265,000 annually, plus equity and benefits.

Company

hirify.global operates a peer-to-peer car-sharing marketplace connecting guests with local hosts across the United States, Canada, the United Kingdom, France, and Australia.

What you will do

• Lead quantitative research across pricing, marketplace dynamics, product, design, marketing, and strategy.
• Design and execute surveys, conjoint analyses, experiments, A/B tests, and behavioral data analyses.
• Study guest willingness-to-pay, price elasticity, value perception, host pricing behavior, competitive positioning, and booking-funnel merchandising.
• Partner with Product, Data Engineering, Analytics, Marketing, and Strategy to inform roadmaps, growth strategies, instrumentation, logging, and research pipelines.
• Translate complex quantitative findings into narratives for product, design, business, and executive audiences.
• Mentor researchers, contribute to research standards and infrastructure, and use qualitative methods when appropriate.

Requirements

• 8+ years of professional research experience, including at least 4 years of quantitative UX research on consumer software across desktop, mobile web, iOS, and Android.
• Strong portfolio of quantitative studies that shaped product strategy and roadmap decisions.
• Expertise in experimental design, survey methodology, statistical analysis, and behavioral data analysis.
• Proficiency in R, Python, and/or SQL, with experience analyzing large datasets.
• Core experience with pricing research methods such as conjoint analysis, van Westendorp, willingness-to-pay, and elasticity modeling.
• Experience with two-sided marketplaces or peer-to-peer products, stakeholder management, and a relevant bachelor’s degree.

Nice to have

• Master’s or PhD in Human-Computer Interaction, Psychology, Data Science, Statistics, Behavioral Economics, or a related field.
• Experience in transportation, travel, mobility, marketplace, or growth-focused products.
• Familiarity with causal inference methods such as difference-in-differences, regression discontinuity, and propensity score matching.
• Experience mentoring researchers on quantitative methods.

Culture & Benefits

• Full-time employment with equity, competitive benefits, paid time off, paid holidays, volunteer time off, and parental leave.
• Employer-paid medical, dental, and vision insurance, plus a retirement employer match.
• Learning and Development stipend, cell phone and internet stipend, travel credit, and host matching program.
• Hybrid employees receive in-office lunch, snacks, and activities.
• AI-assisted tools are available for research and recruiting support, with team-defined standards for their use.

Hiring process

• Interview and assessment stages evaluate research experience, quantitative methods, and problem-solving.
• AI tools are not permitted during live interviews or technical assessments unless specifically requested or approved as a reasonable accommodation.