Runpod
Runpod
51 – 200 Employees
Artificial IntelligenceB2BSaaS
Runpod is an artificial intelligence and SaaS company that provides on-demand GPU computing and managed infrastructure for developing and deploying AI applications. Its platform combines GPU Pods in 31 regions, serverless endpoints for inference, multi-node clusters for distributed training, and tools for deploying open-source models and templates. Runpod supports AI developers and enterprise teams across the workflow from experimentation to production, with autoscaling, a broad range of GPU options, and infrastructure designed for rapid workload startup.

Head of Analytics and Business Intelligence — Remote, United States

Lead Runpod’s analytics and business intelligence function for its AI developer cloud. Define company metrics, scale analytics capabilities, and turn data into executive decisions across the GPU marketplace.

Description

  • Lead, mentor, and expand a team of analytics and business intelligence professionals
  • Recruit, develop, retain, prioritize, and elevate the technical standards of analytics practitioners
  • Inform company strategy by uncovering data-driven opportunities, sizing their impact, and delivering practical recommendations
  • Own the foundational metric framework covering utilization, retention, net revenue retention, margin, and marketplace supply and demand
  • Define the analytics roadmap in partnership with Product, Finance, and Go-to-Market leaders
  • Evaluate consumption revenue and customer behavior, including cohort retention, expansion, churn, savings plan adoption, spot and reserved usage mix, and serverless workload economics
  • Create self-service analytics capabilities for recurring stakeholder needs
  • Collaborate with Data Engineering on data models, quality, freshness, and SOC 2 obligations
  • Establish experimentation, measurement, and interpretation standards
  • Present analytics insights in executive and board reporting
  • Turn ambiguous business problems into rigorous analysis and clear, actionable recommendations

Requirements

  • At least 8 years in analytics, business intelligence, or data science, including ownership of business-critical metrics visible to executives
  • At least 3 years managing analytics or business intelligence teams
  • Advanced practical SQL skills and experience with modern analytics engineering methods such as dbt or an equivalent tool
  • Expertise in data warehouses, including modeling and performance trade-offs
  • Experience with usage-based, consumption, or marketplace business models
  • Understanding of utilization, unit economics, usage expansion and contraction, and two-sided supply-and-demand dynamics
  • Ability to establish a metric framework from an unstructured baseline and drive adoption across the organization
  • Sound judgment combined with a strong sense of urgency
  • Ability to develop evidence-based perspectives and focus decisions on business outcomes
  • Comfort working in startup environments
  • Excellent communication and stakeholder management abilities
  • Ability to collaborate across Product, Finance, Data Engineering, Security, Go-to-Market, and Supply teams
  • Successful completion of a background check
  • Authorization to work in the United States; employment visa sponsorship is unavailable
  • Advanced degree in Statistics, Economics, Computer Science, Mathematics, or a related field, or substantial equivalent industry experience leading analytics teams preferred

Benefits

  • Meaningful equity in a rapidly growing company
  • Medical, dental, and vision coverage with full employee premiums covered and partial dependent coverage
  • Flexible paid time off
  • Remote-first work environment
  • Inclusive and collaborative teams
  • $1,200 home office and equipment stipend
  • Opportunities for cultural participation, learning, and ownership

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