Head of Analytics and Business Intelligence - Runpod

About Runpod

Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests.

We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale.

About the Role

Analytics at Runpod sits within Data & AI and serves as a strategic partner across the company. The team supports five core areas: marketing and PR; infrastructure and pricing; product; security; and sales. From acquisition and campaign performance to GPU-hour economics, product adoption, fraud detection, and revenue analytics, the team turns Runpod's rich operational data into decisions.

As Head of Analytics and Business Intelligence, you will lead and grow Runpod's analytics function, owning how the company measures itself and how insights reach decision-makers. You will manage a team of analysts and BI practitioners, set the analytics roadmap, and act as the senior analytics partner to Product, Supply, Finance, Engineering, Security, and Go-to-Market leadership.

Runpod's analytics stack includes dbt and Dagster for transformation, Snowflake underneath, and Mode as our BI tool.

Responsibilities

• Lead, coach, and grow a team of analysts and BI practitioners, including hiring, career development, prioritization, and raising the technical bar of the work.
• Drive company strategy proactively from a data perspective by identifying the data levers that can transform the business, quantifying opportunities, and delivering clear paths to action for leadership.
• Own Runpod's core metric layer, defining and maintaining consistent definitions for utilization, retention, net revenue retention, margin, and marketplace supply/demand health.
• Set the analytics roadmap in partnership with Product, Finance, and GTM leadership, balancing recurring reporting needs with deeper analysis that changes decisions.
• Drive analysis of consumption-based revenue and customer behavior, including cohort retention, expansion and churn on usage, savings plan adoption, spot vs. reserved mix, and serverless workload economics.
• Build the self-serve analytics layer so stakeholders can answer routine questions independently, reserving the team's capacity for higher-judgment work.
• Partner closely with Data Engineering on modeling, data quality, freshness, and SOC 2 requirements for the analytics platform.
• Establish experimentation and measurement practices, including guardrails for interpreting results.
• Represent analytics in executive and board-level reporting, translating ambiguous business questions into analysis and clear recommendations.

Requirements

• 8+ years of experience in analytics, business intelligence, or data science, including ownership of business-critical metrics with executive visibility.
• 3+ years of experience managing analytics or BI teams, with a track record of hiring, developing, and retaining strong practitioners.
• Deep hands-on fluency in SQL and modern analytics engineering practices, including dbt or equivalent, with enough warehouse expertise to make sound modeling and performance trade-offs.
• Experience with usage-based, consumption, or marketplace business models and the metrics that govern them, including utilization, unit economics, expansion and contraction on usage, and two-sided supply and demand dynamics.
• Demonstrated ability to define a metric layer from a messy starting point and drive organization-wide adoption.
• Strong judgment and urgency, with the ability to determine when a fast, directionally correct answer is more valuable than a perfect answer delivered too late.
• Ability to approach questions objectively, form a view from evidence and data, and optimize for what is best for the business.
• Proven ability to thrive in startup environments as a proactive partner to the business.
• Strong communication and stakeholder management skills, including the ability to challenge assumptions with data while maintaining strong relationships.
• Ability to work effectively across Product, Finance, Data Engineering, Security, Go-to-Market, and Supply.
• Successful completion of a background check.
• Must be eligible to work in the United States (no visa sponsorship available).

Preferred

• Advanced degree in Statistics, Economics, Computer Science, Mathematics, or a related field, or equivalent significant industry experience in analytics leadership.

What We Offer

• Compensation: $200,000 - $280,000 USD base salary.
• Equity: Meaningful equity in a fast-growing company.
• Health Coverage: Generous medical, dental, and vision plans (100% covered for employees, partial for dependents).
• PTO: Flexible paid time off.
• Home Office: $1,200 home office & equipment stipend.
• Work Culture: Remote-first team building cutting-edge AI infrastructure.