Head of Compute

THE ROLE

At Applied Compute, securing the right compute on the right terms is what makes our post-training and agent infrastructure possible. As Head of Compute Partnerships, you'll own the sourcing, economics, and strategic positioning of the GPU capacity that powers everything we train, serve, and deploy for enterprise customers.

This is one of the highest-leverage roles at the company. Compute is both our core input and our binding constrain. Your job is to make sure Applied Compute has a leading seat at the table structuring the commercial relationships that define our cost structure for years, getting early access to new hardware generations as they come online, and turning a fragmented global supply market into a durable advantage. You'll work directly with our founders, our GTM function, and the leadership teams at providers reshaping global compute, and you'll partner closely with our research and engineering teams to decide what we train, on what hardware, where, and at what cost.

 

What you'll do

- Own the unit economics of compute end-to-end, from the structure of individual contracts to the margin architecture across training and inference products to the long-term P&L consequences of today's supply commitments

- Run global procurement of GPU capacity across hyperscalers, tier-one neoclouds, regional operators, and emerging providers

- Negotiate and close reserved capacity agreements, spot and burst arrangements, MSAs, DPAs, and order forms

- Secure early access to the latest accelerator generations in the quantities we need

- Partner with finance and leadership on capital strategy: how much to commit, to whom, over what term, on which hardware, and with what balance sheet exposure

- Build the frameworks that translate supply decisions into clear financial outcomes and let the company make large bets with conviction under uncertainty

- Work with research to translate training roadmaps and RL workloads into concrete compute requiremen...