Director, Analytics and Business Intelligence

• 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.

• 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.

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

What You’ll Receive

• The competitive base pay for this position ranges from $230,000- $270,000 USD. This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location.
• Meaningful equity in a fast-growing company — your impact drives our growth, and you share in the upside.
• Generous medical, dental & vision plans – we cover 100% for all employees and partial for dependents.
• Flexible PTO – take the time you need to recharge.
• Most roles are remote work first with inclusive, collaborative teams utilizing Slack as the main form of internal communication.
• Join a passionate team on the cutting edge of AI infrastructure — where culture, learning, and ownership are at the heart of how we scale.
• $1,200 Home Office & Equipment Stipend — we set you up for success from day one with gear and support to create your ideal workspace.

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 closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on. Learn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers.