Senior User Researcher (Enterprise & Platform)

Join Glean, a company focused on improving enterprise and platform experiences. As a Senior User Researcher, you will play a critical role in shaping the future of agent governance and ROI measurement. You will conduct mixed-methods research, generate actionable insights, and partner closely with cross-functional teams. This is an exciting opportunity for a seasoned researcher with deep expertise in IT, admin, and builder personas.

• Conduct high-impact research focused on admin, IT, and builder experiences, utilizing mixed-methods research across the product lifecycle.
• Collaborate closely with cross-functional teams to integrate research into roadmaps, drive impact from insights, and ensure admins can unlock and prove Glean's value.
• Mentor and enable others to run high-quality evaluative research when appropriate, and use AI tools thoughtfully across the research workflow.
• 5–7+ years of User Experience Research (UXR) experience, with a 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
• Self-directed and scrappy—comfortable scoping, recruiting, and driving research independently in a fast-paced, ambiguous environment
• End-to-end impact—ability to connect research on ROI, time-to-value, and adoption directly to shipped product decisions alongside PM, Design, and Engineering
• Strong systems-thinker capable of navigating multi-stakeholder ecosystems (buyers, admins, end-users, security) to balance competing needs and risk thresholds
• Mastery of qualitative methods (contextual inquiry, journey mapping, JTBD) combined with strong quantitative research skills (survey design, statistical literacy, and triangulation with behavioral product data)
• 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