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 deployment fit together

• Familiarity with commissioning levels (L2–L5) and what it takes to move a data hall from systems testing to deployment- and operations-ready

• Exposure to AI/GPU or high-density compute infrastructure — or a solid foundation in data center power, cooling, and networking with the drive to come up to speed quickly

• Demonstrated ability to own a project or workstream end to end: tracking milestones, managing dependencies, and driving tasks to completion

• Experience coordinating vendors, contractors, or cross-functional teams on active project or construction sites

• Comfortable operating with ambiguity and evolving requirements in a fast-moving environment

• Strong organizational and communication skills — able to keep schedules, trackers, and stakeholders aligned

• Ownership mindset: you take initiative, fill gaps, and follow through to the outcome rather than waiting to be told

• Willing and able to travel to data center locations, sometimes on short notice (up to 50–60% travel during active deployments)

Preferred Qualifications

• Experience on hyperscale or AI/ML cluster deployments (B100/B200/H100-class or GPU clusters)

• Hands-on exposure to commissioning — CxA support, integrated systems testing (IST), or functional performance testing

• Familiarity with direct liquid cooling (DLC), CDU/sidecar, or immersion cooling

• Experience with high-performance networking (InfiniBand, RoCE) or structured cabling / ICT

• Proficiency with project tracking and workflow tools (Smartsheet, JIRA, MS Project, or similar)

• Familiarity with DCIM, BMS, or CMDB tools (NetBox, Sunbird, Nlyte, or similar)

• Exposure to long-lead procurement, logistics, or material coordination during deployment (receiving, cycle counting, site-to-site transfers)

• Experience contributing to SOPs, runbooks, or process documentation

• Relevant certifications, or active progress toward them:

  • PMP or CAPM (Project Management Institute)

  • DCD (Data Center Dynamics) — any track

  • CDCP (Certified Data Centre Professional) — EPI / GAQM

  • CDCPM / CDCMP (Uptime Institute / CNet Training)

  • BICSI RCDD or DCDC (Data Center Design Consultant)

  • ITIL Foundation — relevant to operational handoff and service management

  • Lean or Six Sigma — relevant to SOP development and process improvement

Salary & Benefits

• Competitive total compensation package (salary + equity).

• Retirement or pension plan, in line with local norms.

• Health, dental, and vision insurance.

• Generous PTO policy, in line with local norms.

The base salary range for this position is $235,000 - $260,000 per year, depending on experience, skills, qualifications, and location. This range represents our good faith estimate of the compensation for this role at the time of posting. Total compensation may also include equity in the form of stock options.

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. If there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.