Materials Team Lead

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.

• Be a barrel. Full autonomy. Own things end to end, take on scope without being asked, no permission required to operate outside your core role.

• Insane urgency. We drive everything forward as fast as possible.

• Reason from first principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.

• Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward.

• Build something that actually matters. If you're going to spend your time, spend it on something that matters to the world.

The MEP & Structural Procurement team gets the physical equipment for gigawatt-scale AI data centers, electrical, cooling, power, and structural, delivered to site on schedule.

Examples of key problems the team is working on:

• Expediting capital equipment orders where a slipped delivery pushes a construction milestone, and renegotiating vendor commitments to recover the schedule

• Managing supplier, CM, and ODM capacity across multiple concurrent project sites so lead times and allocations don't collide

• Reconciling purchase orders against engineering drawings and specs to catch scope discrepancies before equipment ships wrong

• Running root-cause analysis on delivery misses and reporting supply status to PMs and leadership with enough rigor to drive decisions

• Lead the materials management team: set priorities and workload across the materials managers and coach their expediting practice until every open order has an owner and a recovery plan

• Work the hardest vendor recoveries yourself, expediting capital equipment orders with direct schedule consequences and renegotiating delivery commitments the site schedule can actually absorb

• Own the consolidated root-cause and reporting rhythm to PMs and leadership, so every delivery miss has a documented cause, a corrective action, and a credible new date

• Manage 4-5+ suppliers, CMs, and ODMs across concurrent project sites, keeping capacity, lead times, and allocations from colliding between projects

• Read engineering drawings and specs against orders yourself and catch scope discrepancies before they become field problems

• Travel to vendor sites to verify production status and push recoveries in person when the situation demands it

• 7-10+ years in global sourcing or supply chain for capital equipment or data center infrastructure

• You've led a team of buyers or materials managers, or been its clear senior anchor, setting priorities and coaching how they expedite

• You've personally expedited capital equipment orders where the slip had direct schedule consequences, and renegotiated the vendor's delivery commitment yourself, not through a subordinate

• You've managed 4-5+ suppliers, CMs, or ODMs across concurrent project sites

• You can read engineering drawings and specs well enough to catch a scope discrepancy the vendor missed

• You're comfortable traveling to vendor sites, and you know when a problem needs you on the floor rather than on a call

• You're a player-coach: you run the team's rhythm and still take the hardest recoveries yourself

• Bonus: background in owner-furnished equipment, cooling and power components for AI data centers, or GPU platform procurement at…