Job Summary:
CoreWeave is The Essential Cloud for AI™, delivering a platform of technology and tools for AI innovation. The Technical Program Manager will lead cross-functional programs focused on performance and benchmarking within the AI/ML Platform Services organization, ensuring infrastructure readiness for demanding AI workloads.
Responsibilities:
• Drive end-to-end program execution for performance and benchmarking initiatives spanning infrastructure validation, performance testing, benchmark execution, observability, and launch readiness
• Partner with engineering and infrastructure teams to deliver programs that verify new hardware platforms, clusters, and software environments meet CoreWeave standards for performance and stability
• Lead cross-functional efforts to operationalize benchmarking frameworks that measure model performance, runtime efficiency, GPU utilization, and workload reliability across environments
• Coordinate dependencies across platform engineering, infrastructure, capacity, product, and go-to-market teams to ensure performance findings are translated into roadmap priorities, customer readiness, and external proof points
• Build program mechanisms for release readiness, benchmark planning, risk management, issue escalation, and post-launch review for performance-sensitive infrastructure initiatives
• Establish dashboards, operating cadences, and success metrics to improve performance visibility, infrastructure validation coverage, benchmark repeatability, and time-to-readiness for new platforms
• Help drive prioritization across performance bottlenecks, test gaps, and benchmark requests by aligning stakeholders on goals, tradeoffs, and measurable outcomes
• Create clarity across ambiguous technical programs by aligning teams around performance goals, validation criteria, and execution milestones
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
• 5+ years of technical program management experience in cloud infrastructure, distributed systems, high-performance computing, or AI/ML platforms
• Experience leading large-scale cross-functional programs involving performance engineering, benchmarking, validation systems, or infrastructure readiness
• Strong technical fluency in distributed systems, GPU or accelerator-based infrastructure, workload performance measurement, and large-scale infrastructure operations
• Demonstrated ability to define program metrics and drive measurable outcomes in performance, reliability, scale, or operational maturity
• Excellent communication skills, with experience influencing engineering, product, and infrastructure stakeholders
• Experience with AI/ML benchmarking, performance analysis, or infrastructure validation for training and inference workloads
• Familiarity with GPU cluster architecture, workload observability, hardware bring-up, and performance bottleneck analysis
• Understanding of benchmarking methodologies, reproducibility, test coverage, and the tradeoffs between performance, stability, utilization, and customer readiness
• Experience building launch processes, release governance, dependency management, and operational review mechanisms in fast-scaling environments
• Familiarity with translating technical performance data into actionable decisions for product, customer, or go-to-market audiences
Company:
CoreWeave provides cloud infrastructure services designed to support artificial intelligence and high-performance computing workloads. Founded in 2017, the company is headquartered in Livingston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.