Senior Data Scientist, Growth (AI)

Location: Hybrid, with 4 days per week in the San Francisco office

Salary: $200,000–$260,000 annually, with potential eligibility for variable compensation, equity, and benefits

Company

Glean provides a Work AI platform combining enterprise search, an AI Assistant, and scalable AI agents on a secure, extensible platform.

What you will do

• Define and evolve growth measurement across acquisition, activation, engagement, retention, resurrection, and expansion.
• Build and analyze user and account funnels to identify value realization, drop-off points, and behaviors predicting durable engagement.
• Identify and size growth opportunities across onboarding, product discovery, education, lifecycle messaging, collaboration, virality, and new product surfaces.
• Partner with Product, Design, and Engineering to develop hypotheses, success metrics, instrumentation plans, and decision criteria.
• Design and analyze A/B tests, phased rollouts, and quasi-experiments, applying causal inference to guide product decisions.
• Build reusable datasets, dashboards, metrics, segments, and self-serve analytical tools while leading cross-functional projects from problem framing through recommendations and follow-through.

Requirements

• 7+ years of experience in quantitative data science, product analytics, or growth analytics, plus a degree in Statistics, Mathematics, Computer Science, or a related field.
• Strong knowledge of statistics, experimentation, causal inference, statistical power, segmentation, funnel analysis, and retention analysis.
• Experience designing and analyzing product experiments and translating causal findings into product decisions.
• Strong SQL skills and practical fluency in Python or R.
• Experience building durable analytical datasets, metrics, dashboards, and data models, with the ability to define KPIs and guardrail metrics.
• Ability to independently lead complex projects and communicate quantitative findings clearly to technical and non-technical audiences.

Nice to have

• Experience with B2B SaaS, enterprise AI, or products adopted across users and accounts.
• Experience building experimentation or product-measurement capabilities.
• dbt experience.
• Strong product intuition, ownership, and comfort working in ambiguous environments.

Culture & Benefits

• Medical, vision, and dental coverage.
• Generous time off and a 401(k) contribution plan.
• Home office improvement, education, and wellness stipends.
• Regular company events and daily healthy lunches.
• Inclusive workplace committed to diverse backgrounds and perspectives.

Hiring process

• Interview process includes a brief AI-focused exercise or discussion covering how candidates think about, design, and use AI.