Job Summary:
CoreWeave is The Essential Cloud for AI™, delivering a platform of technology and tools for innovators to build and scale AI. The Technical Program Manager for Inference will lead cross-functional programs to enhance the delivery and operational excellence of AI inference services, ensuring reliability and scalability for customer-facing applications.
Responsibilities:
• Drive end-to-end program management for inference platform initiatives spanning reliability, customer onboarding, launch readiness, and runtime optimization
• Lead cross-functional programs for customer onboarding across dedicated and serverless inference offerings, ensuring clear ownership, launch criteria, and readiness for strategic customer use cases
• Drive launch readiness for new inference capabilities by aligning teams around real customer outcomes, supportability, and end-to-end validation
• Partner with engineering and product to define and deliver roadmap outcomes for latency, throughput, uptime, operational quality, and price-performance
• Coordinate multi-team execution across platform, infrastructure, and customer-facing teams to deliver reliable and scalable inference services
• Build and operationalize success metrics, dashboards, launch gates, and review cadences to measure service reliability, onboarding readiness, efficiency, and quality across the inference stack
• Establish repeatable processes for release validation, performance regression tracking, launch management, and postmortem follow-through
• Help unify operational processes, support mechanisms, and execution visibility across inference deployment models and customer onboarding paths
• Create strong communication channels between Engineering, Product, Infrastructure, and Go-to-Market teams to align priorities and deliver predictable, high-impact outcomes
Qualifications:
Required:
• Bachelor's degree in a technical field or equivalent practical experience
• 8+ years of technical program management experience in distributed systems, cloud infrastructure, or AI/ML platform engineering
• Proven experience driving large-scale infrastructure or platform programs from concept to production in complex, cross-functional environments
• Strong technical fluency in distributed inference systems, GPU compute, cloud-native architectures, and performance optimization
• Demonstrated success driving measurable improvements in reliability, performance, operational readiness, or customer delivery
• Excellent written and verbal communication skills, with the ability to align engineering, product, infrastructure, and customer-facing stakeholders around shared goals
• Experience with inference-serving systems, model onboarding workflows, rollout strategies, and observability tooling
• Familiarity with launch readiness, supportability, incident follow-through, and release validation for production infrastructure or platform services
• Understanding of customer onboarding for technical products, especially where platform capabilities, infrastructure readiness, and support processes must align for launch
• Experience operating in high-growth environments where roadmap execution, reliability expectations, and customer commitments must be managed in parallel
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.