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
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.
External Responsibilities
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.
