Data Center Capacity Analyst

• Model greyspace capacity across sites: the electrical, mechanical, and support space budgets behind every megawatt of whitespace.
• Track allocation against design as builds evolve, catching where greyspace runs out before power does.
• Build the source-of-truth views that design, delivery, and operations use to answer whether it fits.
• Analyze trade-offs when programs compete for the same square footage or capacity headroom.

• The below is a starting point. We always make space for exceptional people, so if you don’t fit this role exactly, tell us where you would.
• You’ve done capacity or space planning for data centers, industrial plants, or utilities.
• You’re comfortable in drawings and single-lines as well as spreadsheets.
• You’ve built capacity models that caught a real constraint early.
• You keep a source of truth current across many concurrent changes.
• You present a constraint with options attached.
• Bonus: DCIM tools. Electrical and mechanical fundamentals. SQL and BI tooling. Multi-site portfolios.

About Fluidstack

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 acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI.