Senior Data Scientist, Glean
Core Product
$175-240k
4 days a week in office
AI-based search engine connecting enterprise data
Be an early applicant
AI-based search engine connecting enterprise data
1001+ employees
Be an early applicant
$175-240k
4 days a week in office
1001+ employees
Company mission
To expand human potential to do extraordinary work.
Role
Who you are
- 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
What the job involves
- 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
- This role sits on the Core Product Data Science team within R&D, part of a world-class organization spanning data science, applied science, data engineering, and analytics
- Based in the Bay Area (San Francisco or South Bay), you'll be embedded at the center of where enterprise AI is heading
- You'll partner with Engineering, Product, and Design to own measurement, insight, and impact across the Glean Assistant — one of the most interesting product surfaces in enterprise AI today:
- 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
- This is a rare opportunity to do foundational data science work on AI products that are actually deployed at scale inside real organizations — not a research prototype, not a side bet. If you want to work at the center of where enterprise AI is heading, this is the role
Our take
Glean is an intuitive digital assistant which allows employees to search across all their apps and find the information and tools that they need more quickly.
With so many SaaS apps being used by modern day companies, overwhelm and inefficiency inevitably enter the equation. Glean’s search engine is proving popular for how it unifies and centralizes all these distributed tools and data.
It’s been quite a start to life at Glean, having emerged from stealth in 2021, it received a $1B valuation in early 2022, thus achieving unicorn status. Since then, the company has gone on to raise substantial funding and bring its valuation up to $7.2B in 2025. With this impressive growth, its secured some big name customers like Grammarly, databricks, and Rubrik.
That Glean was co-founded by a quartet with senior experience at Google, Microsoft, Uber, and Facebook stands the company in good stead. However, it’s the fact that its search engine is solving a new, but very real problem in the workplace that’s seen its popularity surge so quickly, which it’s likely to continue to do in the future. And its adaptability to include new AI capabilities to its platform, such as generative AI, has Glean well set to see further growth.
Steph
Company Specialist at Welcome to the Jungle
Insights
44% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Jun 2025
$150m
SERIES F
Sep 2024
$260m
SERIES E
Total funding: $805m
Company HQ
Evergreen Park, Palo Alto, CA
Leadership
Arvind Jain
(Co-Founder & CEO)Former Engineer at Google and Microsoft. Arvind is also the co-founder of high growth startup Rubrik, which delivers data security and operational resilience for enterprises.
TR Vishwanath
(Co-Founder & CTO)Before co-founding Glean, TR was a Principal Software Engineer at Facebook after spending eight years at Microsoft as a Software Design Engineer, then Principal Development Lead.
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