Remote GPU Program Manager: End-to-End NPI & Supply Chain

Job Description

Insight Global is looking for a sharp, experienced Program Manager to join an AI cloud platform company and be the single point-of-contact for all GPU supply chain activities. This role is remote sitting in in NYC or San Francisco. This is a full-time, permanent role with excellent compensation, equity, and benefits.

This company is dedicated to accelerating their go-to-market time in a big way, so it is imperative for this person to be willing to work hard, take ownership from inception to delivery, and approach every problem with a strategic, open mind.

We need a seasoned Program Manager, GPUs to be the single point of ownership for all Supply-Chain activity—from definition through factory ramp—so every AI, compute, storage, and network platform launches on schedule and  will coordinate internal engineering, TPM, and operations teams alongside global manufacturing partners, untangling ambiguity, exposing critical paths, clearing blockers, and managing risk end-to-end.

• Full-cycle NPI execution for AI compute, storage, and networking hardware: schedule, build/test readiness, factory and material readiness, risk tracking, and program communications
• Primary bridge between Supply Chain and every internal/external stakeholder on the program
• Daily build issue resolution and debug cadence across internal teams and partner engineering/manufacturing teams
• Manufacturing, test, and material readiness (infrastructure, processes, and tooling)
• Risk identification → mitigation → communication across the entire Supply Chain org
• Program-level communications—status, metrics, and escalations—to leadership and partners
• Factory ramp preparedness with engineering and manufacturing allies
• Continuous improvement: surface operational pain points and drive cross-functional fixes

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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• Previous experience leading NPI for NVIDIA H100, H200, and/or GB200 GPUs
• Bachelor’s degree in a relevant field - or equivalent hands-on experience
• Deep NPI lifecycle expertise: kickoff through ramp; cross-functional influence; work-stream prioritization
• Technical foundation in engineering or manufacturing for AI, compute, or networking hardware
• 5+ years in computer-hardware and/or networking manufacturing - shop-floor control, supply-chain execution, test, PLM tools, and processes
• Familiarity with supply-chain functions across NPI (procurement, planning, materials, demand/supply, logistics)
• Fluency with PLM concepts: BOMs, ECOs, deviations, part substitutions, effectivity-date control, QMS - M.S. in hardware or manufacturing engineering (or equivalent)
• Track record sourcing and managing global suppliers and CMs
• Familiarity with data-center hardware architecture and deployment