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Senior Data Scientist, Growth
Job Location:
Job Location:
San Francisco, CA - USA
Yearly Salary:
USD 200000 - 260000
Yearly Salary:
Posted:
17 August 2026 (30+ days ago)
Posted:
Application Deadline:
27 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
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:
Glean is building a world-class data organization spanning data science applied science data engineering and business analytics. This role sits within the Growth and Enterprise Readiness Data Science team with a primary focus on accelerating user adoption engagement and sustained product a Growth Data Scientist you will be the quantitative partner to Growth Product Engineering and Applied AI (Post Sales). Youll turn ambiguous growth opportunities into measurable product bets build the measurement and experimentation systems that allow us to learn quickly and use behavioral data to identify where Glean can create substantially more value for its users.
You will:
- Define and evolve Gleans growth measurement framework across acquisition activation engagement retention resurrection and expansion including metrics such as WAU activation engagement intensity retention and feature adoption
- Build and analyze end-to-end user and account growth funnels to understand where users experience value where they drop off and which behaviors are most predictive of durable engagement
- Diagnose adoption gaps and develop bottoms-up growth strategies for high-impact enterprise accounts identifying where product deployment engagement or organizational barriers are limiting growth and partnering with Applied AI and R&D leaders on targeted interventions.
- Identify and size high-leverage growth opportunities across onboarding product discoverability education lifecycle messaging collaboration and virality and new product surfaces
- Partner across R&D and Applied AI to turn product capabilities and behavioral insights into scalable adoption plays identifying the customers and user populations best suited for new experiences and translating those opportunities into targeted field interventions.
- Partner closely with Product Design and Engineering to translate product ideas into testable hypotheses well-defined success metrics instrumentation plans and decision criteria
- Design and analyze rigorous A/B tests phased rollouts and quasi-experiments; use causal evidence to recommend whether products should launch iterate or change direction
- Develop behavioral and needs-based user segments and translate those insights into targeted product interventions
- Inform roadmap and investment decisions by quantifying reachable populations expected impact confidence dependencies and tradeoffs before significant development begins
- Build trusted reusable growth datasets dashboards and self-serve analytical tools that allow Product and Engineering partners to independently understand product health and investigate changes
- Lead cross-functional data science projects end-to-end translating ambiguous product questions into clear insights recommendations and decisions for audiences ranging from engineers to executives
Example areas of focus could include improving new-user onboarding and activation converting occasional users into habitual users increasing adoption of emerging AI experiences optimizing high-traffic entry surfaces improving feature discovery developing lifecycle strategies and building account-level adoption frameworks for enterprise customers and translating new product capabilities into scalable Applied AI adoption motions.
You are:
- 7 years of experience in a highly quantitative data science product analytics or growth analytics role with a degree in Statistics Mathematics Computer Science or a related field
- Demonstrated experience partnering with Product and Engineering teams to identify opportunities and influence product roadmap decisions
- Strong grounding in statistics experimentation causal inference statistical power segmentation funnel analysis and retention analysis
- Exceptionally high AI proficiency through habitual high-value use of LLMs with sound judgment about when and how to apply them rigorous validation and continuous workflow improvement
- Experience designing and analyzing product experiments and communicating causal findings in a way that drives clear product decisions
- Strong proficiency in SQL and practical fluency in a statistical programming language such as Python or R
- Experience building durable analytical datasets metrics dashboards and data models rather than relying primarily on ad hoc analysis. dbt experience is a plus.
- A strong product and business mindset with experience defining KPIs guardrail metrics and measurement frameworks that influence decisions
- Ability to independently own complex projects end-to-end from problem framing and measurement through analysis recommendation and follow-through
- Clear concise communication skills with the ability to explain complex quantitative findings to both technical and non-technical audiences
You are a particularly good fit if:
- You have experience in B2B SaaS especially enterprise AI or have worked on products where adoption occurs across both users and accounts
- You have experience partnering with GTM or Post-Sales teams and are comfortable using data to challenge assumptions shape account strategy and drive impact through action.
- You have a track record of identifying growth opportunities from behavioral data and turning them into shipped measurable product interventions
- You have helped build experimentation or product-measurement capabilities that increased the velocity and quality of decision-making for an organization
- You combine strong quantitative rigor with product intuition and are comfortable making recommendations in highly ambiguous problem spaces
- You have a very strong sense of ownership and self-motivation. You are laser-focused on delivering business impact while growing as an individual along with Glean
- You are good at managing evolving priorities while successfully delivering core initiatives
Location:
- This role is hybrid (4 days a week in our Mountain View office)
Compensation & Benefits:
The standard base salary range for this position is $200000 - $260000 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.
Were committed to building and sustaining a diverse inclusive workplace. We strive to attract and retain people with a wide range of backgrounds experiences and perspectives and we do not discriminate on the basis of 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.
Global Data Privacy Notice for Job Candidates and Applicants:
Depending on your location the General Data Protection Regulation (GDPR) California Consumer Privacy Act (CCPA) or other privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our . By submitting your application you are agreeing to our use and processing of your data as applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.
By clicking Submit Application I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement and I agree to the terms.
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
