Technical Program Manager, CoreWeave

• This role is ideal for someone who thrives in complex, cross-functional environments, has deep technical fluency in distributed systems or ML infrastructure or Gen AI, and excels at creating structure, visibility, and execution rhythm across multiple teams
• Bachelor’s degree in a technical field or equivalent experience
• 8+ years of program management experience in distributed systems, cloud infrastructure, or AI/ML platform engineering
• Proven experience driving large-scale serving or infrastructure programs from concept to production
• Strong technical fluency in GPU compute, distributed inference systems, container orchestration, and cloud-native architectures
• Demonstrated success in driving measurable improvements in performance, reliability, or operational efficiency
• Excellent written and verbal communication skills, with the ability to align engineering, product, and leadership stakeholders around shared goals
• This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency

Desirable

• CoreWeave’s AI/ML Platform Services organization builds the distributed systems that power large-scale inference workloads across our GPU-accelerated cloud
• As a Technical Program Manager focused on distributed inference, model onboarding, and runtime optimization, you will drive programs that enable AI models to serve billions of inferences reliably and efficiently
• You’ll partner closely with engineering, product, and marketing teams to deliver scalable, performant model-serving systems—reducing latency, improving GPU utilization, and making it easier for customers and internal teams to onboard and optimize AI models on CoreWeave
• Drive end-to-end program management for distributed inference platform initiatives, including scaling, reliability, and performance optimization
• Lead cross-functional programs for model onboarding — defining standardized workflows for integrating, validating, and deploying customer and foundation models on CoreWeave
• Partner with engineering and product to define and deliver roadmap outcomes for serving throughput, latency, and cost efficiency
• Coordinate multi-team execution across AI runtime, GPU infrastructure, and DevOps to deliver high-availability inference services
• Build and operationalize success metrics, dashboards, and launch gates to measure reliability, efficiency, and quality across the inference stack
• Collaborate with Product, Engineering, and Marketing on GTM readiness — ensuring technical enablement, documentation, and launch processes align with customer adoption and commercial rollout timelines
• Establish repeatable processes for rollout management, performance regression tracking, and postmortem analysis
• Create and lead operating cadences (program reviews, launch readiness, and retrospectives) to improve visibility and execution velocity
• Collaborate with other TPMs and technical leads across CoreWeave to ensure platform-wide alignment on reliability, scalability, and release practices