User Researcher

What You'll Achieve

• End-to-end research: Design and execute quant + qual research across the AI product lifecycle — foundational discovery, concept testing, prototype/usability testing, and post-ship evaluation — with clear recommendations that drive product decisions.
• Human–AI workflow understanding: Evaluate collaboration in real workflows — how users set goals, delegate tasks, review/accept outputs, and stay oriented as the product takes more initiative.
• Cross-functional partnership: Build strong relationships with Design, Product, Engineering, and Data Science to integrate research and user feedback into different phases of the product development process.
• Communication: Tailor storytelling to different audiences and find effective, creative ways to share insights (e.g., videos, podcasts, workshops).
• Business-minded impact: Connect research to business outcomes—articulating why an insight matters, making it actionable, and doing the hands-on work to drive real change after research is delivered.

Skills You'll Need to Bring

• AI fluency: You’re curious and hands-on with AI products—and can reason about how model behavior, uncertainty, and system constraints shape product experiences.
• Systems thinking: You can quickly understand complex user journeys and identify where experiences break down across the system—from inputs, to model behavior, to UI, to governance and guardrails.
• Pragmatism: You excel at prioritizing research in fast-moving 0→1 environments and are comfortable navigating ambiguity, taking initiative, and knowing when to be scrappy vs. when to go deep. Doing an end-to-end study in a week excites you.
• Research craft: You know the right methodological approach for the question at hand, and you’re an expert in both qualitative and quantitative methods.
• Data fluency: You excel at using behavioral and business data to sharpen research questions, interpret results, and connect insights to measurable outcomes. Triangulating across data sources is a standard part of the work you deliver.

Experience

• 3+ years doing UX research in industry

Nice to Haves

• Experience researching AI-enabled products (especially agentic/workflow automation) and B2B products
• Expertise conducting research with AI research tools (Outset, Listen Labs, Dovetail, etc.)
• Experience communicating research to executive stakeholders
• Master’s or PhD degree in Human-Computer Interaction, Psychology, Behavioral Economics, Anthropology, Sociology, or a related field
• You’re familiar with the work of computing heroes like Douglas Engelbart, Alan Kay, Bret Victor, etc.