Head of Compute

Strong business and financial instincts, with native fluency in unit economics, margin structure, and capital allocation, and the ability to model the long-term P&L consequences of complex supply decisions

Deep knowledge of the global AI compute market, including the providers, the hardware generations and their real tradeoffs, pricing dynamics, and where the market is heading over the next 12 to 24 months

A track record of negotiating and closing contracts at meaningful scale, finding and using leverage, and structuring deals that drive downstream economics

Comfort operating across finance, commercial, product, and engineering, and translating fluently between all of them

High ownership, with a habit of seeing gaps and building the fix before anyone asks

Experience structuring large infrastructure or capacity agreements

Existing senior relationships across hyperscalers, neoclouds, or regional compute providers

Background spanning both finance or capital allocation and hands-on commercial negotiation

Experience sourcing compute or hardware in a high-growth environment where supply was the primary constraint

An AI-native way of working, using LLMs, automation, and programmatic tools to move faster

Applied Compute builds Specific Intelligence for the enterprise. We provide the continual learning infrastructure for companies to build agent workforces trained on proprietary data and institutional expertise. Our researchers and platform embed directly within customer environments to build custom evals, train models, and deploy agents that get better with use.

Why we’re excited: We get to work at a rare intersection. Our product team builds the platform powering a new generation of digital coworkers. Our research team pushes the frontier of post-training and reinforcement learning. Our applied AI team sits side-by-side with customers as they ship agents into production. This combination of strong product, deep research, and boots on the ground is what we believe it takes to bring AI to the enterprise. We are product-led, research-enabled, and forward-deployed.

Who we are : We’re a team of engineers, researchers, and operators. Many of us are former founders. We've built RL infrastructure at OpenAI, data foundations at Scale AI, and systems at Together, Two Sigma, Watershed, and others. We work with F50 customers and are fortunate to be backed by partners like Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.

Who Thrives Here : We're looking for people who are excited about applying novel research and complex systems to real-world problems. Our team genuinely enjoys working with customers: listening, empathizing, and understanding how work actually gets done in their organizations. Former founders, people who've built a lot of side projects, or anyone who's shown they can own something end-to-end, tend to do well here.