Senior Data Scientist, Core Product
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Job Location:
San Francisco, CA - USA
Yearly Salary:
$ 175000 - 240000
Posted on:
4 days ago
Vacancies:
1 Vacancy
Job Summary
About Glean:
Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industrys 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 Gleans agentic capabilities - AI agents that automate real work across teams by accessing the industrys 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 Worlds Most Innovative Companies (Top 10 2025) by CNBCs Disruptor 50 Bloombergs AI Startups to Watch (2026) Forbes AI 50 and Gartners Tech Innovators in Agentic AI Glean continues to accelerate its global impact. With customers across 50 industries and 1000 employees in more than 25 countries were helping the worlds largest organizations make every employee AI-fluent and turning the superintelligent enterprise from concept into reality.
If youre excited to shape how the world works youll help build systems used daily across Microsoft Teams Zoom ServiceNow Zendesk GitHub and many more - deeply embedded where people get things done. Youll 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.
About the Role:
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) youll be embedded at the center of where enterprise AI is heading. Youll 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. 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.
You will:
- 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; youll 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 whats working what isnt 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
About you:
- 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.
Location:
- This role is hybrid (4 days a week in one of ourBay Area offices)
Compensation & Benefits:
The standard base salary range for this position is $175000 - $240000 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 youll 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. Were 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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AI-First Mindset at Glean:
At Glean AI fluency is core to how we work and were committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process youll 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 isnt required.
Required Experience:
Senior IC
About Company
Glean was created to deliver healthy and fresh foods - made directly from fruits and vegetables - into your hands! Sweet Potato Flour & Pumpkin Flour now available. Our team is made up of a handful of passionate people who have worked in food and agriculture most of their careers - ... View more
