Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
API @ 4
Compliance @ 4
Data Science @ 6
LLM @ 4
Product Management @ 6
Python @ 4
R @ 4
SQL @ 4
Scoping @ 6
Security @ 7
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Glean is the Work AI platform that helps people work smarter with AI. Its platform includes enterprise search, an AI Assistant, scalable AI agents, more than 100 enterprise SaaS connectors, flexible LLM choice, robust APIs, and Enterprise and Personal Knowledge Graphs.
The Design team is seeking an experienced researcher to 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.
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, including foundational, generative, evaluative, and post-launch research.
- Shape product areas including admin 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 throughout 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, admin, 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 with Product Management, Design, and Engineering.
- Mastery of qualitative methods such as contextual inquiry, journey mapping, and Jobs-to-be-Done, combined with quantitative research skills including survey design, statistical literacy, and triangulation with behavioral product data.
- Self-directed and comfortable independently scoping, recruiting, and 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.
- Applied AI proficiency, including hands-on experience using AI tools across the research lifecycle and strong judgment regarding rigor, bias, and reliability.
Work Arrangement
- Hybrid role requiring four days per week in the Mountain View office.
Compensation And Benefits
- Standard base salary range: $185,000–$210,000 annually.
- Compensation may also include variable compensation, equity, and benefits, depending on the role.
- Medical, vision, and dental coverage.
- Generous time-off policy.
- 401(k) plan contributions.
- Home office improvement stipend.
- Annual education and wellness stipends.
- Regular company events and healthy lunches provided daily.
- Glean is committed to an inclusive and diverse workplace and does not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
Interview Process
Candidates will complete a brief AI-focused exercise or discussion covering how they think about, design, and use AI to drive impact in their role. Prior Glean experience is not required.