User Researcher (AI)

TL;DR

User Researcher (AI): Conducting end-to-end qualitative and quantitative research to improve AI-powered workspace experiences with an accent on human-AI workflows and agentic automation. Focus on translating complex AI model behaviors into actionable product insights and optimizing user journeys.

Location: Must be based in San Francisco or New York City (Hybrid: Office attendance required on Mondays, Tuesdays, and Thursdays)

Salary: $164,000–$190,000 per year

Company

Notion is a collaborative AI workspace where teams and agents integrate knowledge, projects, and AI tools to make work faster and less fragmented.

What you will do

• Design and execute end-to-end quant and qual research across the AI product lifecycle, from discovery to post-ship evaluation.
• Evaluate human-AI workflows, focusing on how users set goals, delegate tasks, and review AI-generated outputs.
• Partner with Design, Product, Engineering, and Data Science to integrate research into the development process.
• Communicate insights through tailored storytelling, including videos, podcasts, and workshops.
• Connect research findings to business outcomes to drive tangible product changes.

Requirements

• 3+ years of industry experience in UX research.
• Fluency in AI products and an understanding of how model behavior and system constraints shape UX.
• Expertise in both qualitative and quantitative research methodologies.
• Ability to use behavioral and business data to sharpen research questions and interpret results.
• Must be based in San Francisco or New York City.

Nice to have

• Experience researching AI-enabled (especially agentic/workflow automation) and B2B products.
• Proficiency with AI research tools such as Outset, Listen Labs, or Dovetail.
• Experience communicating research findings to executive stakeholders.
• Master’s or PhD in HCI, Psychology, Behavioral Economics, or a related field.

Culture & Benefits

• Highly competitive cash compensation and equity.
• Culture of craft and belief that great work is fundamentally human.
• Hybrid work model with designated "Anchor Days" for in-person collaboration.
• Environment that encourages intellectual curiosity and tinkering with AI as a collaborator.