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CoreWeave

Rents GPU cloud computing for AI developers

Senior Technical Program Manager - Fleet Operations & Reliability

Program ManagementUpdated on Nov 13
Full-timeIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Engineering, Computer Science, or a related technical field, or equivalent practical experience.
  • At least 7 years of technical program management experience in large-scale compute infrastructure, cloud, or platform environments.
  • Experience operating in a rapidly growing or fast-scaling infrastructure environment, with programs designed to withstand fleet growth of 2x, 5x, or more.
  • Strong technical aptitude across infrastructure domains such as compute, storage, networking, hardware, or site reliability engineering.
  • Ability to use data and metrics to drive prioritization, execution, and decision-making.
  • Ability to communicate with stakeholders and report at the executive level.

Responsibilities

  • Establish and own fleet reliability metrics and dashboards, including failure rates, mean time to repair, incident trends, capacity availability, and utilization rates, with visibility into how these trend as the fleet expands.
  • Drive alignment on fleet reliability objectives and key results across engineering and operations teams.
  • Identify systemic reliability gaps across hardware, firmware, software, networking, storage, and operational processes.
  • Lead complex cross-functional programs to improve fleet delivery, readiness, and operational stability at scale as the fleet grows.
  • Define program plans, milestones, dependencies, risks, and success criteria for reliability initiatives.
  • Manage cross-team dependencies and unblock execution across multiple engineering organizations.
  • Track progress against goals, surface risks early, and communicate status to stakeholders and leadership.
  • Participate in major incident reviews and root cause analysis, ensuring follow-up actions are tracked to closure.
  • Use data and post-incident learnings to prioritize reliability investments and drive corrective action.

Desired Qualifications

  • Experience operating at scale in data center, cloud infrastructure, or hyperscale environments while balancing reliability investments against capacity goals, with an understanding of how operational decisions affect sellable capacity.
  • Familiarity with reliability frameworks such as service-level indicators, service-level objectives, error budgets, incident management practices, and root cause analysis.
  • Understanding of hardware failure and processes, including failure diagnosis, vendor coordination, and replacement lifecycle management.
  • Background in observability, monitoring, or telemetry systems such as Prometheus, Grafana, and OpenTelemetry.
  • Experience with fleet lifecycle management, including provisioning, firmware and operating system updates, and decommissioning at scale.

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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