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CoreWeave

Rents GPU cloud computing for AI developers

Staff Technical Program Manager - Inference

Program ManagementUpdated on Nov 13
Full-timeIn-person

About the Job

Requirements

  • 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.

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.

About the Company

CoreWeave

Rents GPU cloud computing for AI developers

CoreWeave rents cloud computing to AI labs and businesses that train models and run them in production for research and commercial applications. Its platform combines NVIDIA graphics chips, storage, networking, and software built for demanding AI workloads across connected clusters scaled to fit each project. CoreWeave Forge connects tools for tracking experiments, testing models, and improving AI systems using feedback from production. Customers rent computing capacity through committed contracts or usage charges, while managed services handle the infrastructure needed to keep large workloads running. CoreWeave was founded in 2017 and is headquartered in Livingston, New Jersey.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Livingston, NJ
Founded
2017

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