Senior/Staff Data Scientist, Infrastructure

Glean • San Francisco, CA

2h • $175,000 - $250,000 • Hybrid

About The Position

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 pricing, billing, and enterprise usage, alongside broader time-to-value and deployment health metrics.
In this role, you’ll work at the intersection of Product, Finance, Infrastructure, and Post-Sales to ensure Glean’s pricing and enterprise experience are grounded in clear, trusted data.

Requirements

• 7+ years of experience in a highly quantitative data science role, with a degree in Statistics, Mathematics, Computer Science, or a related field
• Strong proficiency in SQL and Python, and experience working with modern data stacks (e.g., dbt, analytics engineering pipelines)
• Experience analyzing nascent, complex datasets and translating them into clear, actionable insights
• A strong product and business mindset, with experience defining KPIs, guardrail metrics, and dashboards that influence decisions
• Solid grounding in statistics, including experimentation and non-experimental methods
• Ability to independently own projects end-to-end, from problem framing to delivery
• Clear, concise communication skills, with the ability to explain complex analyses to both technical and non-technical audience

Nice To Haves

• You have experience in B2B SaaS, especially in the enterprise AI space.
• 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.
• You have experience working with collaborators across large time zone differences.

Responsibilities

• Become a deep expert in Glean’s product telemetry, billing data, and platform systems, partnering closely with Product, Finance, and Infrastructure to self-serve insights
• Develop and evolve metrics that capture enterprise readiness, deployment health, and time-to-value, from initial rollout to sustained adoption
• Drive deployment and infrastructure cost optimization by analyzing usage patterns, workload drivers, and scaling behavior across customers.
• Partner with platform and infrastructure teams to model and optimize the economics of core systems such as connectors, indexing, and knowledge graph infrastructure, ensuring margins scale sustainably with usage growth
• Support pricing, packaging, and monetization decisions through thoughtful analysis of usage, consumption, and cost drivers
• Improve observability and data quality for billing and enterprise-critical workflows, identifying gaps and driving alignment across systems
• Build analytics and models to support security and trust initiatives, including threat detection, abuse patterns, and monitoring for enterprise-critical products
• Analyze and improve the cost efficiency of compute-intensive workflows (eg: mining and indexing), identifying trade-offs between product value, performance, and unit economics.
• Lead cross-functional data science projects end-to-end, translating ambiguous problems into clear, actionable insights
• You will collaborate closely with Product Management, Engineering, Finance, Billing Operations, and GTM leadership to ensure Glean’s pricing, billing, and enterprise readiness strategies are grounded in high-quality data and clear, trusted metrics.

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, you'll 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level