Technical Program Manager - Performance & Benchmarking

Responsibilities

• In this role, you will:
• 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

Requirements

• 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
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Additional Information

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com .

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