Head of GPU Capacity Planning

About TensorWave

Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.

About the Role

TensorWave operates AMD Instinct GPU clusters across multiple U.S. data center sites. As we scale, the ability to see, forecast, and commit capacity with confidence is a core competitive advantage. The Head of GPU Capacity Planning owns that picture.

This person elevates our existing capacity planning processes, drives capacity planning end to end, and maintains a single, authoritative view of the fleet: what we have, what is committed, what is held in reserve, and what is available to sell. They partner closely with Sales to guide sellable capacity, work across active deals to keep commitments feasible, and establish a weekly cadence so capacity is tracked and defended every week rather than reconstructed after the fact. They also translate operating pain into clear tooling requirements that improve how the whole company plans capacity.

*If remote, candidate would need to travel to Vegas on a monthly basis.*

What You’ll Do

• Maintain a single source of truth for total, committed, reserved, and available-to-sell capacity across every site and GPU generation, reconciling physical fleet inventory (installed, in burn-in, held as spares, in RMA) against logical and contracted allocations.
• Standardize how capacity is defined, measured, and reported so definitions are consistent and every stakeholder is reading from the same numbers.
• Own demand pipeline and track contracted ramp on curves, steady state consumption, expiries, renewal probability, and take or pay floors, with weighted pipeline maintained separately and never blended into the committed view.
• Define and publish se