Data Center Maintenance Program 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.

How We Operate

• Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.
• Velocity. We drive everything forward as fast as possible.
• 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.

The Data Center Operations Team

Examples of key problems the team is working on

• Operate at the scale of a nation, not a building. Accelerating toward 100 GW by the end of the decade, roughly the entire electricity consumption of Japan. You won't just run a data center; you'll run infrastructure the size of a G7.
• Fly the plane while it's being built. Running flawless operations inside a live construction zone, adapting in real time and turning the pace of build-out into our advantage. You will redefine operational excellence.
• Write the playbook, don't inherit it. Most operators step into someone else's system. Here you build one, leaving your fingerprints on how the whole company runs. As we scale 100x, you'll set the standards, shape the operating model, and grow the team by the thousands.

Role Scope

• Build the fleet-wide maintenance management index from zero: the single source of truth for every maintainable asset, its PM program, frequency, and criticality across owned and colo sites.
• Stand up the CMMS and work management backbone that turns that index into scheduled work, so PM completion, deferrals, and backlog are measurable at every site the same way.
• Lead EAM adoption as a change program across a multi-site fleet: taxonomy, training, site champions, and adoption metrics, so the system becomes how work happens rather than a database nobody trusts.
• Write the maintenance standards (PM strategy, deferral rules, critical spares, vendor scope) that new sites inherit on day one instead of inventing locally.
• Quarterback maintenance data into the operating rhythm: feed reliability trends, recurrence patterns, and asset health into weekly and monthly reviews so we fix classes, not instances.

What We're Looking For

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 led EAM or CMMS program adoption across a large fleet (hyperscaler, utility, or industrial portfolio) and moved sites from local spreadsheets to one system of record without stalling the work.
• You've built or rebuilt a maintenance program for critical infrastructure, not just administered one someone else designed.
• You've built the asset taxonomy and data standards that let a fleet compare maintenance performance site-to-site, and defended them against a hundred local exceptions.
• You've written PM strategies grounded in equipment criticality and failure modes, and you can defend why a task exists or kill it when it doesn't.
• You've held vendors and colo providers accountable to maintenance scope through evidence, completion data and audit findings, not escalation emails.
• You turn maintenance data into decisions: backlog trends, deferral risk, and recurrence patterns that change what the org does next.
• Bonus: Hyperscaler or cloud data center fleet maintenance. EAM platforms at scale (Maximo, SAP PM, eMaint, MaintainX or similar). Mission-critical MEP maintenance. CMRP or similar reliability credentials. Reliability-centered maintenance (RCM/FMEA).