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CoreWeave

Rents GPU cloud computing for AI developers

Staff Product Manager - Core Compute Services

Technical Product ManagementUpdated on Nov 13
Full-timeIn-person

About the Job

Requirements

  • At least 8 years of professional experience, including at least 5 years in Product Management of cloud services or in the AI/ML market segment.
  • Deep understanding of cloud compute at the instance layer, including how compute is provisioned, delivered, kept current, isolated, and reclaimed at scale.
  • Proven ability to lead cross-functional teams, with decision-making, project management, and mentoring skills.
  • Demonstrated experience working closely with customers to identify needs and translate them into product features and solutions.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
  • MBA or equivalent experience is a plus.

Responsibilities

  • Lead the product strategy, roadmap, and execution for core compute services, including instance lifecycle, node images and system software currency, hardware health and remediation, tenancy and isolation, and capacity and reservation semantics customers buy against.
  • Serve external customers consuming compute directly and internal teams building higher-level services, including CKS, on the same primitives.
  • Partner with engineering, sales, finance, and marketing teams to align on goals and product details and execute product launches and go-to-market activities.
  • Conduct in-depth market research and competitive analysis to identify the current state, emerging trends, and opportunities for differentiation.
  • Partner with industry partners, marketing, and sales teams to develop and execute go-to-market strategies, including positioning, messaging, and competitive differentiation.
  • Define key metrics and establish reporting to monitor compute-services performance, identify improvement areas, and inform future decisions.

Desired Qualifications

  • Hands-on experience with a large-scale compute or instance service, such as EC2, Google Compute Engine, Azure Compute, or an equivalent internal provisioning platform.
  • Familiarity with accelerated compute, high-performance interconnect, and the behavior of large multi-node workloads.
  • Good grasp of the financial and economic dimensions of operating cloud compute services.
  • Experience in building businesses and products, identifying product opportunities, understanding AI-market trends, and knowing the fundamentals and implications of distributed systems.

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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