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.
Location:
- This role is hybrid (4 days a week in one of our SF Bay Area offices)
Compensation & Benefits:
The standard base salary range for this position is $175,000 - $250,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
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