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Site Operations Capacity Analyst

Fluidstack

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. We hire people who care deeply about this problem space. How We Operate 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 Supply Chain Team Examples of key problems the team is working on 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. Our modular build redefines speed in this industry, and it lives or dies on supply chain. Keep procurement permanently off the critical path so schedule compression stays our advantage, not our constraint. Build the most accurate supply chain prediction modelling that exists. Use the frontier of AI to forecast lead times, demand, and disruption with a precision the industry has never had, and turn that foresight into a structural edge. Role Scope Model capacity across the fleet: power, space, cooling, and compute, so allocation decisions run on numbers, not recollection. 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 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, 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: Data center capacity planning. Power systems knowledge. BI tooling (Tableau, Looker, Hex). Cloud capacity or fleet economics. We are committed to pay equity and transparency. Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. You will receive a confirmation email once your application has successfully been accepted. #J-18808-Ljbffr Fluidstack

Vacancy posted 2 days ago
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