Job Opportunities API

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. If that is you, please apply! ABOUT THE ROLE As a Data Center Deployment Project Manager, you will drive the on-the-ground execution that brings data halls and AI/GPU clusters online. You will pick up as commissioning ramps — around L2/L3 Cx — and own deployment through to operational turnover, coordinating across construction handover, infrastructure, networking, hardware, and operations teams to keep every deployment on schedule and ready for go-live. This role is built for someone with an ownership mindset who wants to grow into full-lifecycle AI infrastructure delivery. You will own the deployments assigned to you day to day: tracking milestones, running the deployment runbook, holding vendors and contractors accountable on site, and surfacing risks before they become blockers. You are accountable for the delivery of the clusters you own. You might come from data center construction project management, commissioning (CxA), hyperscale deployment or installation coordination, MEP/electrical project delivery, or hardware and network deployment. If you have a strong delivery track record, technical curiosity, and the drive to own outcomes — we want to meet you! RESPONSIBILITIES - Own deployment execution for assigned data halls and AI/GPU clusters, from commissioning readiness (L2/L3 Cx) through operational turnover - Track and drive deployment milestones, critical-path tasks, and go/no-go criteria, keeping schedules and runbooks current and accurate - Coordinate on-site activities spanning construction handover, infrastructure, ICT/low-voltage, CDU/DLC, hardware installation, and network bring-up - Manage and hold accountable OEM/ODM vendors, integration contractors, and third-party service providers throughout active deployment - Confirm commissioning and hardware-validation steps are completed and documented before handoff — burn-in, network validation, and GPU/TPU health checks - Own a clean operational handoff: acceptance criteria, as-built documentation, runbooks, and turnover to the operations team - Surface risks, blockers, and schedule slips early, and escalate with proposed options rather than problems alone - Maintain clear program artifacts: schedules, task trackers, risk and issue logs, punch lists, and handoff checklists - Provide regular, clear status updates on deployment health, risks, and milestones to program leads and stakeholders - Collaborate with SMEs across networking, ICT, systems engineering, procurement, and operations — validating plans before executing, not in isolation - Contribute to the SOPs, runbooks, and process improvements that make each subsequent deployment faster and more repeatable BASIC QUALIFICATIONS - 3–5 years delivering data center, infrastructure, or large-scale hardware deployment projects — construction, commissioning, MEP, or IT/network deployment backgrounds are all welcome - Working understanding of the data center delivery lifecycle and how construction handover, commissioning, and hardware/network deplo