Senior Data Scientist, Core Product
TLDR
Drive foundational data science work on AI products deployed at scale, collaborate with cross-functional teams, and influence product impact through measurable insights and frameworks.
- Define what "good" looks like for AI — build the KPIs, pipelines, and dashboards that let the team move with conviction; lead logging improvements that turn nascent telemetry into a reliable foundation for decision-making
- Redefine user engagement for an AI-first product — measuring value when AI is doing half the work is an unsolved problem; you'll be on the frontier of figuring it out
- Scale analytics access — develop data models and self-serve tools so cross-functional partners can move fast from a shared, accurate source of truth — without a bottleneck
- Shape what gets built — identify what's working, what isn't, and why; influence roadmaps with quantitative frameworks and rigorous assessments of product-market fit
- Work on surfaces that are moving fast — Glean Chat evolving from informing users to co-performing complex work alongside them; new job types (document generation, data analysis, software engineering), new settings (meetings), new modalities (voice, image), and multi-user experiences
- 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 SQL and Python skills; comfortable with modern data stacks (dbt, analytics engineering pipelines)
- Fluent in AI tools as part of your everyday workflow
- Product and business mindset — you know how to define KPIs, set guardrails, and build dashboards that actually drive decisions
- Solid statistics foundation, including experimentation and causal inference
- Proven ability to work with messy, early-stage data and turn it into clear, actionable insights
- End-to-end ownership: from problem framing to delivery, you drive work independently
- Clear communicator across technical and non-technical audiences
- B2B SaaS experience, ideally in enterprise AI
- 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 Bay Area offices)
AI-First Mindset at Glean:
At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required.
Benefits
Education Stipend
annual education and wellness stipends to support your growth and wellbeing
Free Meals & Snacks
provide healthy lunches daily to keep you fueled and focused
Health Insurance
Medical, Vision, and Dental coverage
Home Office Stipend
you'll receive a home office improvement stipend
Paid Time Off
generous time-off policy
Glean is a Work AI platform designed to help organizations optimize their operations through intelligent search and AI-driven capabilities. By offering a scalable and secure infrastructure, Glean empowers businesses across various industries to harness the full potential of AI while maintaining control and customization.
- Founded
- Founded 2019
- Employees
- 51-200 employees
- Total raised
- $160M raised