Senior Technical Program Manager (Fleet Operations & Reliability)

CoreWeave, the world's largest AI Cloud platform, as a Senior Technical Program Manager. In this role, you will be responsible for fleet-wide reliability and operations programs, driving improvements in fleet operating efficiency and ensuring reliability and stability goals are met.

The ideal candidate will have a bachelor's degree in a related technical field, 7+ years of technical program management experience, and a strong technical aptitude across infrastructure domains.

Responsibilities

• You will work closely with various teams, establish and own fleet reliability metrics, identify systemic reliability gaps, and lead complex cross-functional programs.
• Act as the central owner for fleet reliability and operations programs, aligning teams on priorities, defining success metrics, driving execution, and ensuring improvements hold at scale.
• Establish and own fleet reliability metrics and dashboards, driving alignment on fleet reliability OKRs across engineering and operations teams.
• Lead complex, cross-functional programs to improve fleet delivery, readiness, and operational stability that scale with fleet growth, avoiding solutions that only work at current size.
• Familiarity with reliability frameworks such as SLIs/SLOs, error budgets, incident management practices, and root cause analysis

Requirements

• Bachelor's degree in Computer Engineering, Computer Science, or a related technical field, or equivalent practical experience
• Experience operating in a rapidly growing or fast-scaling infrastructure environment, with programs designed to hold up under 2x, 5x, or greater fleet growth
• Demonstrated ability to use data and metrics to drive prioritization, execution, and decision-making
• Excellent communication and stakeholder management skills, including executive-level reporting
• Strong technical aptitude across infrastructure domains (compute, storage, networking, hardware, or SRE)
• 7+ years of technical program management experience in large-scale compute infrastructure, cloud, or platform environments
• Experience operating at scale in data center, cloud infrastructure, or hyperscale environments balancing reliability investments against capacity goals, with an understanding of how operational decisions affect sellable capacity
• Understanding of hardware failure and processes, including failure diagnosis, vendor coordination, and replacement lifecycle management
• Background in observability, monitoring, or telemetry systems (e.g., Prometheus, Grafana, OpenTelemetry)

Preferred

• Experience with fleet lifecycle management (provisioning, firmware/OS updates, decommissioning) at scale

Pay

USD 157,000 - 210,000