AI Hiring Index

CoreWeave · Infrastructure · Senior · Posted 2026-09-02

Senior Technical Program Manager – Fleet Operations & Reliability

CoreWeave · New York, NY / Sunnyvale, CA / Bellevue, WA · $182k–242k base

This range's midpoint is above 44% of posted infrastructure ranges at AI companies right now. See the salary index.

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CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at  www.coreweave.com .

About the Role

CoreWeave is building the world's largest AI Cloud platform, and our fleet is growing at extraordinary speed. We're seeking a Senior Technical Program Manager to own fleet-wide reliability and operations programs that keep pace with that growth. This role partners closely with Compute, Networking, Data Center, and Operations teams to drive improvements in fleet operating efficiency — maximizing the percentage of fleet capacity that is healthy, available, and sellable — alongside reliability and stability goals.

You'll 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 — not just land once and regress as the fleet scales.

The Technical Program Manager will

Establish and own fleet reliability metrics and dashboards (e.g., failure rates, MTTR, incident trends, capacity availability and utilization rates), with visibility into how these trend as the fleet expands

Drive alignment on fleet reliability OKRs 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 that scale with fleet growth, avoiding solutions that only work at current size

Define program plans, milestones, dependencies, risks, and success criteria for reliability initiatives

Proactively manage cross-team dependencies and unblock execution across multiple engineering organizations

Track progress against goals, surface risks early, and communicate status clearly 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

Minimum Qualifications

Bachelor's degree in Computer Engineering, Computer Science, or a related technical field, or equivalent practical experience

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 hold up under 2x, 5x, or greater fleet growth

Strong technical aptitude across infrastructure domains (compute, storage, networking, hardware, or SRE)

Demonstrated ability to use data and metrics to drive prioritization, execution, and decision-making

Excellent communication and stakeholder management skills, including executive-level reporting

Preferred Qualifications

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

Familiarity with reliability frameworks such as SLIs/SLOs, 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 (e.g., Prometheus, Grafana, OpenTelemetry)

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

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