Drive end-to-end program execution for AI infrastructure initiatives, with a strong focus on GPU Delivery tracking, delivery timelines, and deployment readiness. Partner cross-functionally with hardware, datacenter, and vendor teams to mitigate risks and ensure on-time capacity availability. Own program reporting, dependencies, and operational rigor across multiple concurrent initiatives. Enable scalable processes to support rapid growth in AI infrastructure demand.
Internal Responsibilities
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Own end-to-end execution of GPU delivery programs, including tracking supply, logistics, and deployment readiness.
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Coordinate across hardware, datacenter, networking, and vendor teams to manage dependencies and resolve blockers.
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Drive program cadence (status reviews, risk tracking, reporting) to ensure on-time and predictable delivery.
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Identify operational gaps and implement scalable processes to improve efficiency and visibility.
External Responsibilities
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Own end-to-end execution of GPU delivery programs, including tracking supply, logistics, and deployment readiness.
-
Coordinate across hardware, datacenter, networking, and vendor teams to manage dependencies and resolve blockers.
-
Drive program cadence (status reviews, risk tracking, reporting) to ensure on-time and predictable delivery.
-
Identify operational gaps and implement scalable processes to improve efficiency and visibility.
