Full-Time

Data Center Deployment Project Manager

Updated on 7/22/2026

FluidStack

FluidStack

201-500 employees

High-performance GPU cloud for AI workloads

Compensation Overview

$186k - $220k/yr

+ Equity

Remote in USA + 4 more

More locations: Seattle, WA, USA | San Francisco, CA, USA | Austin, TX, USA | New York, NY, USA

Remote

Category
Business & Strategy (1)
Required Skills
Computer Networking
Risk Management

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Requirements
  • 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)
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
Desired 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

FluidStack provides GPU-based cloud infrastructure for artificial intelligence workloads, delivering large-scale Nvidia GPU clusters through a neocloud model. The platform offers automated provisioning and a centralized orchestration layer that hides hardware complexity, with native support for Kubernetes and Slurm and proprietary monitoring to track power usage and hardware health. It targets AI labs, research institutions, and enterprise tech teams that need scalable, pay-as-you-go access to high-performance compute without owning data centers. The company's goal is to make it easy for organizations to train, develop, and deploy complex machine learning models by providing reliable, scalable GPU resources on demand.

Company Size

201-500

Company Stage

Late Stage VC

Total Funding

$11B

Headquarters

New York City, New York

Founded

2017

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Simplify Jobs

Simplify's Take

What believers are saying

  • A $50B master agreement with Anthropic secures custom data center construction in Texas and New York starting 2026[2][3].
  • FluidStack targets an $18B valuation after raising $1B in a Jane Street-led round, doubling its December 2025 $7.5B valuation[1][4].
  • Google backs $1.8B of lease obligations and funds a $5.7B Indiana 430MW campus via a Coatue joint venture[1][3].

What critics are saying

  • $10B GPU-collateralized Macquarie debt triggers margin calls if GPU prices drop 45–65% within 12–18 months[1].
  • Anthropic concentration risk exposes $8.7B+ revenue shortfall if training delays or hyperscaler pivots occur within 18–24 months[1].
  • Google's $1.8B–$3.2B backstop enables lease termination on SLA failures, instantly removing $5.7B Indiana revenue within 12–15 months[1].

What makes FluidStack unique

  • FluidStack builds purpose-built AI data centers delivering gigawatts of compute in six months versus 18–24 months industry standard[6][5].
  • The company offers 62% private cloud with direct GPU ownership, generating higher margins than asset-light marketplace aggregation[8].
  • FluidStack provides native Kubernetes and Slurm integration with proprietary monitoring for real-time power and hardware health visibility[1].

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Company Equity

Unlimited Paid Time Off

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

8%

2 year growth

-5%
Bloomberg L.P.
Apr 14th, 2026
Fluidstack Seeks $1 Billion in New Funding at $18 Billion Valuation

The cloud-computing startup Fluidstack Ltd. is holding funding talks with investors to bring in about $1 billion at a target valuation of $18 billion, according to people briefed on the matter.

Yahoo Finance
Apr 6th, 2026
UK data centre startup Fluidstack raises $750M, hits $7B valuation for US AI expansion

Fluidstack, a London-founded data centre startup, has been valued at $7 billion after raising over $750 million in funding. The company, established in 2017 by Gary Wu, Cesar Maklary and James Cox, is building AI infrastructure across America. The startup relocated its headquarters from London to New York in December to focus on US customers, creating over 1,000 jobs. New investors include Situational Awareness, an AI hedge fund founded by former OpenAI employee Leopold Aschenbrenner. Fluidstack is backed by Google, which has provided a $1.8 billion backstop to the company's data centre lease obligations and is reportedly in talks for an equity stake. The company is also working with Anthropic to build up to $50 billion of AI data facilities across New York and Texas.

Telegraph Media Group
Apr 5th, 2026
UK data centre giant raises $750m for US expansion

City sources say Fluidstack could still secure additional funding as start-up hits $7bn valuation

Yahoo Finance
Mar 20th, 2026
Fluidstack scraps $11.5B French data center for US expansion backed by $50B Anthropic deal

Fluidstack has abandoned an $11.5 billion data centre project in northern France to focus on US expansion, according to Bloomberg. The operator is relocating its global headquarters from the UK to New York and exited a secondary facility near Paris used by Mistral. The move could prove beneficial for Bitcoin miners partnering with Fluidstack. Hut 8, TeraWulf and Cipher Mining have signed deals with the firm over the past six months. Hut 8's 15-year agreement to build a 245-megawatt Louisiana site with Fluidstack and Anthropic generates $7 billion in revenue, potentially rising to $17.7 billion with expansion clauses. Fluidstack's US expansion includes a $50 billion master agreement with Anthropic to operate compute clusters across New York, Texas and other states.

Yahoo Finance
Mar 15th, 2026
Google-backed Fluidstack signs $7B, 15-year AI lease with Hut 8 as miner pivots to data centres

Hut 8 Corp has signed a 15-year, $7 billion IT capacity lease with Google-backed Fluidstack at its River Bend campus, marking a strategic shift from pure Bitcoin mining towards AI and data centre infrastructure. The company also sold a 310MW natural gas power plant portfolio to refocus capital. The deal is part of Hut 8's broader push to build 245MW to 2,295MW of AI data centre capacity with blue-chip clients. The company is carving out legacy mining operations into American Bitcoin whilst developing an 8,500MW infrastructure pipeline. Hut 8's narrative projects $767.3 million revenue and $140.6 million earnings by 2028, requiring 76.9% yearly revenue growth. Some analysts expect the company to reach $1.1 billion in revenue by 2028, though execution risks and potential dilution from capital-intensive expansion remain key concerns.