Site Operations Capacity Analyst

About the role

We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it. We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack.

We hire people who care deeply about this problem space. If that is you, please apply!

How We Operate

We operate with extreme ownership, full autonomy, and a focus on velocity. We challenge every assumption, and the best idea wins. We put in long hours at high intensity to push the frontier forward.

The Supply Chain Team

The Supply Chain Team is working on key problems such as supplying compute at a scale of 10s to 100s of GWs, qualifying and dual-sourcing critical equipment, and building the most accurate supply chain prediction modeling.

• Supply compute at a scale of 10s to 100s of GWs, the largest build out of compute in history.
• Qualify and dual-source across every critical equipment category, with lead-time and capacity thresholds tied directly to the forward build pipeline.
• Make supply chain the reason we build faster than anyone.
• Build the most accurate supply chain prediction modelling that exists.

Role Scope

The role involves modeling capacity across the fleet, tracking capacity consumption, building reporting, and running scenario analysis for deal and allocation decisions.

• Model capacity across the fleet: power, space, cooling, and compute.
• Track capacity consumption against plan and flag constraints quarters before they bind.
• Build the reporting that connects deployment schedules to sellable capacity for commercial and leadership.
• Run scenario analysis for deal and allocation decisions: what fits where, by when, at what displacement.

What We're Looking For

We're looking for someone who has done capacity, utilization, or demand analysis for infrastructure, data centers, cloud, or heavy industry.

• You build models in SQL or Python that others rely on, and you version them like it matters.
• You translate analysis into a one-page answer an executive can act on.
• You chase down data quality problems to the source instead of footnoting them.

Bonus experience includes data center capacity planning, power systems knowledge, BI tooling, cloud capacity, or fleet economics.

Pay

Compensation Range: $119K - $155K