Senior User Researcher, Enterprise & Platform

Details

Glean is the Work AI platform that helps organizations work smarter with AI through enterprise search, an AI Assistant, scalable AI agents, enterprise SaaS connectors, flexible LLM choice, robust APIs, and knowledge graphs.

The Senior User Researcher will focus on admin personas, including IT leaders, setup administrators, and citizen developers who deploy, configure, govern, and expand Glean within their organizations. The role will help reduce deployment friction, improve sandbox and trial experiences, and shape agent governance and ROI measurement. This position collaborates with Product, Design, Engineering, Data Science, and go-to-market teams to integrate research into product roadmaps and help administrators unlock and demonstrate Glean's value.

Responsibilities

• Own high-impact research for the Enterprise and Platform area, focusing on administrator, IT, and builder experiences.
• Conduct mixed-methods research across the product lifecycle, including foundational, generative, evaluative, and post-launch research.
• Shape product areas such as administrator onboarding, platform setup, governance and permissions, billing and consumption visibility, and ROI reporting.
• Generate actionable insights that improve deployment, rollout confidence, adoption, and long-term customer value.
• Partner with Product, Design, Engineering, Data Science, and other cross-functional stakeholders to influence roadmap and execution.
• Mentor and enable others to conduct high-quality evaluative research when appropriate.
• Use AI tools thoughtfully across the research workflow while maintaining rigor, sound judgment, and high-quality outputs.

Requirements

• 5–7+ years of User Experience Research experience, with a proven record of shaping B2B or enterprise product strategy.
• Deep expertise researching IT, administrator, and builder personas, including deployment, governance, and configuration in complex software environments.
• Strong systems-thinking skills and the ability to navigate multi-stakeholder ecosystems involving buyers, administrators, end users, and security teams.
• Ability to connect research on ROI, time-to-value, and adoption directly to shipped product decisions alongside Product Management, Design, and Engineering.
• Mastery of qualitative methods including contextual inquiry, journey mapping, and Jobs to Be Done, combined with quantitative research skills such as survey design, statistical literacy, and triangulation with behavioral product data.
• Self-directed and comfortable scoping, recruiting, and independently driving research in a fast-paced, ambiguous environment.

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.
• Hands-on experience using AI tools across the research lifecycle, with strong judgment regarding rigor, bias, and reliability.

Location

• Hybrid role requiring four days per week in the San Francisco office.

Compensation & Benefits

• Standard base salary range: $185,000–$210,000 annually.
• Certain roles may be eligible for variable compensation, equity, and benefits.
• Medical, vision, and dental coverage.
• Generous time-off policy.
• 401(k) contribution plan.
• Home office improvement stipend.
• Annual education and wellness stipends.
• Regular company events and healthy lunches daily.
• Inclusive and diverse workplace commitment.

As part of the interview process, candidates complete a brief AI-focused exercise or discussion covering how they think about, design, and use AI to drive impact in their role.