Senior User Researcher, Enterprise & Platform

Glean Glean · Enterprise · Mountain View, CA · Design

Senior User Researcher for Glean's Enterprise & Platform team, focusing on the admin persona (IT leaders, setup admins, citizen developers) who deploy, configure, and govern the Work AI platform. The role involves mixed-methods research across the product lifecycle to improve deployment, governance, and ROI measurement, influencing product strategy and execution in collaboration with product, design, and engineering teams. Requires 5-7+ years of UXR experience with B2B/enterprise products, deep expertise in admin personas, and strong systems-thinking. The role uses AI tools thoughtfully in the research workflow.

What you'd actually do

  1. Own high-impact research for the Enterprise & Platform area, focusing on admin, IT, and builder experiences.
  2. Conduct mixed-methods research across the product lifecycle—foundational, generative, evaluative, and post-launch.
  3. Help shape critical product areas including admin onboarding, platform setup, governance and permissions, billing and consumption visibility, and ROI reporting.
  4. Generate actionable insights that improve deployment, rollout confidence, adoption, and long-term customer value.
  5. Partner closely with Product, Design, Engineering, Data Science, and cross-functional stakeholders to influence roadmap and execution.

Skills

Required

  • 5–7+ years of User Experience Research (UXR) experience
  • Deep expertise with IT, admin, and builder personas
  • Strong systems-thinker
  • End-to-end impact
  • Mastery of qualitative methods (contextual inquiry, journey mapping, JTBD)
  • strong quantitative research skills (survey design, statistical literacy, and triangulation with behavioral product data)
  • Self-directed and scrappy

Nice to have

  • Working knowledge of SQL or a scripting language such as Python or R for exploratory analysis
  • Experience with enterprise security, compliance, or governance research, including developer tools, APIs, platform products, or technical setup workflows
  • Familiarity with enterprise APIs, MCP, connectors, or integration architecture
  • Background in productivity tools, collaboration software, or knowledge management
  • Applied AI proficiency: hands-on experience using AI tools across the research lifecycle, with strong judgment about rigor, bias, and reliability.

What the JD emphasized

  • proven track record of shaping B2B or enterprise product strategy
  • Deep expertise with IT, admin, and builder personas—specifically researching deployment, governance, and configuration in complex software environments
  • Mastery of qualitative methods
  • strong quantitative research skills
  • Applied AI proficiency: hands-on experience using AI tools across the research lifecycle, with strong judgment about rigor, bias, and reliability.