Senior User Researcher, Enterprise & Platform

Details

About Glean

Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With 100+ enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their business.

At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map relationships between people, content, and activity to deliver personalized, context-aware responses. This foundation powers agentic capabilities that automate real work across teams. Glean serves customers across 50+ industries and 1,000+ employees in 25+ countries.

Role overview

We are looking for an experienced Senior User Researcher focused on Enterprise & Platform experiences, particularly the admin persona (IT leaders, setup admins, and citizen developers). You will help remove deployment friction, improve sandbox and trial experiences, and shape agent governance and ROI measurement. This role is part of the Design team and will collaborate closely with product, design, engineering, data science, and GTM teams.

Responsibilities

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

Requirements

• 5–7+ years of User Experience Research (UXR) experience with a proven track record of shaping B2B or enterprise product strategy.
• Deep expertise researching IT, admin, and builder personas, especially deployment, governance, and configuration in complex software environments.
• Strong systems thinking and ability to navigate multi-stakeholder ecosystems (buyers, admins, end-users, security).
• Ability to connect research on ROI, time-to-value, and adoption directly to shipped product decisions alongside PM, Design, and Engineering.
• Mastery of qualitative methods (contextual inquiry, journey mapping, JTBD) and strong quantitative research skills (survey design, statistical literacy, triangulation with behavioral product data).
• Self-directed and comfortable scoping, recruiting, and driving research independently in a fast-paced, ambiguous environment.

Nice-to-haves

• 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.

Location and office policy

This role is hybrid: 4 days a week in the Mountain View office.

Compensation & Benefits

The standard base salary range for this position is $185,000 - $210,000 annually. Compensation will be determined by location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

Benefits include Medical, Vision, and Dental coverage, generous time-off policy, opportunity to contribute to a 401(k) plan, home office improvement stipend, annual education and wellness stipends, regular company events, and daily healthy lunches.

AI-First Mindset at Glean

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

Global Data Privacy Notice for Job Candidates and Applicants

Depending on your location, GDPR, CCPA, or other privacy laws may apply. The full notice is available in Glean's Privacy Policy. By submitting an application, you agree to the use and processing of your data as described. US applicants are subject to arbitration as outlined in the Applicant Arbitration Agreement.