Staff UX Researcher
$212,000–$265,000 year
On-siteSan Francisco, California, United States
Job Summary
Lead quantitative research across pricing and marketplace domains, including guest willingness-to-pay, price elasticity, and host pricing behavior. Design and execute large-scale studies such as surveys, conjoint analyses, and A/B tests to inform product roadmaps and de-risk strategic investments. Partner with product, design, data, and marketing teams to translate complex findings into narratives that drive alignment across leadership. Establish instrumentation pipelines with Data Engineering to support research at scale and leverage AI-assisted tools to accelerate velocity. Mentor the research team on quantitative methods and experimental design while flexing into qualitative methods when necessary.
Required Qualifications
- 8+ years of professional research experience
- at least 4 years of quantitative UX research on consumer software across multiple surfaces (Desktop, Mobile Web, iOS, Android)
- A strong portfolio of quantitative studies that demonstrably shaped product strategy and roadmap decisions
- Deep expertise in experimental design, survey methodology, statistical analysis, and behavioral data analysis
- Proficiency in R, Python, and/or SQL
- experience analyzing large datasets and surfacing actionable patterns
- Experience with pricing research methods (conjoint, van Westendorp, willingness-to-pay, elasticity modeling)
- Experience conducting research on a two-sided marketplace, platform, or peer-to-peer product
- Experience partnering with Data Engineering or Analytics teams on instrumentation, logging, or pipeline work
- Demonstrated fluency with AI-assisted research tools
- a considered point of view on their appropriate use
- Exceptional storytelling skills
- Strong stakeholder management
- the ability to push back with confidence and redirect scope when priorities demand it
- A primary identity as a quantitative researcher
- comfort flexing into qualitative methods when the question calls for it
- Bachelor's degree required in a relevant field
- Turo considers working in the office at least 3 days per week to be an essential function of this hybrid role
Desired Qualifications
- Masters or PhD in Human-Computer Interaction, Psychology, Data Science, Statistics, Behavioral Economics, or a related field
- Experience in transportation, travel, mobility, or marketplace/growth-focused product teams
- Familiarity with causal inference methods (diff-in-diff, regression discontinuity, propensity score matching)
- A history of mentoring other researchers on quantitative methods
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