Technical Program Manager - Performance & Benchmarking

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. com .

What You'Ll Do

: The AI/ML TPM team owns delivery and execution across CoreWeave's AI/ML Platform Services organization. The team partners closely with Product, Engineering, Research, Infrastructure, and Go-to-Market teams to deliver scalable, reliable, and high-performance platforms that support the full AI lifecycle. AI/ML TPMs drive alignment and execution across highly technical, cross-functional teams to ensure the successful delivery of customer-facing infrastructure and platform capabilities used by researchers, engineers, and enterprise customers.

As a Technical Program Manager, you will lead complex, cross-functional programs across Performance Benchmarking within our AI/ML Platform Services organization. This team is responsible for ensuring CoreWeave's infrastructure is performant, stable, and validated for demanding AI workloads before and as it reaches customers. The work spans infrastructure verification, benchmarking, observability, and performance readiness across new hardware platforms, clusters, and model workloads.

You will partner with engineering, infrastructure, product, capacity, and go-to-market teams to drive programs that improve workload performance, validate new environments, operationalize benchmarking frameworks, and create visibility into how CoreWeave systems perform across models, hardware generations, and deployment contexts.

Who You Are

: 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 infrastru