Job descriptionWe're looking for a UX Researcher to join our client's AI Design & Research team. You'll support the next generation of AI-powered consumer experiences across a portfolio that spans assistance, shopping, search, ads, news, sports, and gaming – running end-to-end studies from generative to evaluative, partnering with designers, PMs, engineers, and writers in a fast-moving agile environment.
Responsibilities
Plan and execute end-to-end research studies (scoping, recruiting, fieldwork, synthesis, delivery)
Apply a broad methodology mix: interviews, usability studies, surveys, diary studies, and competitive analysis
Synthesize across qualitative and quantitative data sources to surface actionable insights
Translate research findings into clear recommendations for engineering, design, and business stakeholders
Partner cross-functionally with designers, PMs, engineers, and writers within agile product squads
Manage multiple research projects simultaneously, prioritizing against competing timelines
Required Qualifications
4+ years of industry experience conducting qualitative research for consumer products
Proven ability to run research end-to-end with minimal oversight
Proficiency across both qualitative and quantitative methods with strong synthesis skills
Hands‑on experience with UserTesting, dscout, and Qualtrics
Demonstrated track record of turning insights into actionable stakeholder recommendations
Strong project management skills with the ability to run multiple studies in parallel
Preferred Qualifications
Experience with AI‑native research tools: Hey Marvin, Dovetail, ListenLabs, or Outset – including using AI to augment UXR workflows
Prior experience at a consumer technology company (Big Tech or equivalent)
Background researching AI, generative, or assistant products
Bachelor's or higher in HCI, experimental/social/cognitive psychology, behavioral science, human factors, or a related field – PhD in social sciences is a plus
Experience with consumer‑scale products (millions+ users)
Soft Skills
Communication:Translates research into compelling narratives for varied audiences
Customer empathy:Genuine curiosity about user behavior and needs
Stakeholder management:Comfortable prioritizing competing research requests
Adaptability:Thrives in fast-moving, ambiguous, agile environments
Storytelling:Delivers findings in clear, decision-ready formats
Bias for action:Turns insights into recommendations quickly
Collaborative mindset:Ensures insights make it into shipped product
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