About the job
We’re seeking an experienced User Researcher to deliver insights that improve Notion’s AI-powered experiences. This role will focus on how people discover, build, and use AI features—like Notion Agent and Chat—across diverse use cases in the product. It requires a unique mix of research craft, strategic foresight, and technical fluency in AI and AI product development.
Responsibilities
- 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.
Qualifications
Minimum
- 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
Preferred
- 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. — and understand why we're big fans.