The opportunity
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.
What you'll do
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.
What they're looking for
- 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.
- + years of experience in analytics, business intelligence, or data science,: including ownership of business-critical metrics with executive visibility.
