Position: UX Researcher - AI & Quantitative Specialist
Location: San Jose, CA or Seattle, WA (3 days/week in office)
Job Type: Fulltime
Job Description
We are looking for a curious, data-savvy UX Researcher to join our team as a contactor. This is not a traditional research role — it sits at the intersection of AI-augmented research, advanced quantitative analysis, and cross-team capability building.
You will help accelerate our journey toward an AI-Native research practice by bringing hard-won external experience in using AI tools within research workflows, and by embedding behavioral data fluency across the team. You will work alongside researchers, designers, and product managers — influencing how we work, not just what we deliver
Must Have Technical/Functional Skills
- Familiarity with research tooling: UserTesting, Qualtrics, Airtable, Maze, or similar
- AI design or experience in research of product design with AI tools and integration knowledge
- Must have research and product thinking
- UI & UX developer and AI engineering knowledge
- Design, execute, and analyze quantitative studies including large-scale surveys, concept tests, and benchmark studies[MUST HAVE]
- Apply statistical methods confidently: significance testing, regression analysis, factor analysis, conjoint, MaxDiff, and more [MUST HAVE]
- Build clear, insight-led outputs from quantitative data that drive product and business decisions [MUST HAVE]
- Extract, interpret, and storytell with behavioral data from platforms such as Power BI, Amplitude, Mixpanel, or similar[MUST HAVE]
- Triangulate product usage data with primary research to surface richer, more actionable insights [MUST HAVE]
- Lead AI research initiatives end-to-end — from scoping to delivery — while actively partnering with fellow researchers throughout [MUST HAVE]
- Work alongside researchers across the team to co-develop AI-assisted processes, templates, and playbooks that embed into everyday ways of working [MUST HAVE]
- Identify bottlenecks in research operations and propose scalable, AI-enabled solutions developed with the team, not just handed to them
- Demonstrable experience using AI tools within a research context — not just awareness, but active application [MUST HAVE]
- Strong quantitative research skills: survey design, statistical analysis, and insight generation [MUST HAVE]
- Hands-on experience pulling and interpreting behavioral data from Power BI, Amplitude, or equivalent platforms[MUST HAVE]
- Solid grounding in mixed-methods research — you can move fluently between qual and quant [MUST HAVE]
- Experience creating or leading AI-related research initiatives, not just participating in them [MUST HAVE]