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 over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business – without vendor lock-in or costly implementation cycles.
At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities – AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.
Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.
If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more – deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.
The Role
Glean is building a world-class data organization across data science, applied science, data engineering, and business analytics. This role sits within the Core Product Data Science team in R&D and is based in the Bay Area (San Francisco or South Bay).
Data scientists at Glean partner closely with engineering, product, and design to:
- Define and build core data assets (KPIs, pipelines, dashboards) to measure AI product performance
- Improve product telemetry and logging to enable robust analysis
- Develop scalable data models and self-serve analytics tools for cross-functional teams
- Establish strong measurement foundations and identify opportunities to improve key metrics
- Influence product roadmaps through data-driven insights
- Build quantitative frameworks to rigorously evaluate product performance and product-market fit
The role focuses on advancing the Glean Assistant experience, including:
- Improving analytics around user engagement and value
- Evolving Glean Chat from information delivery to co-performing with users
- Expanding use cases across document creation, data analysis, and software engineering
- Supporting new contexts (e.g., meetings) and modalities (e.g., voice, image generation)
- Enabling more collaborative, multi-user experiences
Minimum Qualifications
- 6+ years of experience in a quantitative data science role (3+ years with a PhD) in Statistics, Mathematics, Computer Science, or a related field
- Strong proficiency in SQL and Python; experience with modern data stacks (e.g., dbt, analytics engineering pipelines)
- Experience working with complex, early-stage datasets and translating them into actionable insights
- Strong product and business mindset, with experience defining KPIs, guardrails, and dashboards that drive decisions
- Solid foundation in statistics, including experimentation and causal inference methods
- Ability to independently own projects end-to-end, from problem framing to delivery
- Clear communicator, able to explain complex analyses to both technical and non-technical audiences
Nice to Have
- Experience in B2B SaaS, particularly enterprise AI
- Strong ownership mindset with a focus on delivering business impact
- Ability to manage shifting priorities while executing on core initiatives
- Experience collaborating across time zones
- Proficiency using AI tools in day-to-day workflows
- *You are excited about improving internal tooling/processes in Data Science teams to make others more productive, e.g. improve AI adoption, improve A/B testing tooling etc.
- This role is hybrid (4 days a week in one of our SF Bay Area offices)
