Jobs · Information Technology · California

Technical Program Manager, Deployments

Fluidstack · San Francisco, CA · 1 wk ago
On-siteInformation Technology$200k–$275k/yrFull-time

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.

About The Role

As a Technical Program Manager for Deployments, you will own the end-to-end program delivery required to bring data center infrastructure and AI clusters online. You will operate in a highly ambiguous environment, coordinating across construction, infrastructure, networking, systems engineering, procurement, and operations teams to ensure deployment readiness and successful go-lives. This role requires an ownership mindset. You will be expected to move programs forward with sometimes incomplete information, surface and resolve gaps, and ensure progress across teams responsible for construction, networking, hardware, operations, and beyond.

Must Haves

  • 5+ years experience in delivering complex data center physical infrastructure programs in fast-moving environments
  • Strong understanding of AI/GPU infrastructure, including power density, cooling, networking, and deployment sequencing
  • Demonstrated experience bridging construction handover and cluster deployment
  • Familiarity with how construction, low-voltage, and commissioning activities impact deployment readiness and sequencing
  • Proven ability to lead through influence rather than direct ownership of execution teams
  • Proven ability to manage vendor and contractor relationships, understanding schedule and reputational risks
  • Experience delivering programs across multiple concurrent sites or regions, including planning for staggered milestones
  • Able to develop and present executive-level program status, risk summaries, and key decisions to senior leadership and cross-functional stakeholders
  • Experience with long-lead procurement processes, and hardware supply chain constraints that affect deployment timelines
  • Comfortable operating with limited process and evolving inputs in a high-growth, intense environment
  • Demonstrated ability to take initiative, fill gaps, and drive execution beyond defined scope, without being directed to do so
  • Able to balance strategic thinking with hands-on program management
  • Comfortable operating outside standard business to meet deployment timelines
  • Excellent communication and stakeholder alignment skills – able to ensure teams at all levels understand priorities and dependencies
  • Excellent analytical and problem-solving skills with a data-driven approach to decision making
  • Automation-first mindset with commitment to identifying and implementing process improvements

Nice To Haves

  • You are willing and able to travel to data center locations, sometimes on short notice; expect to spend up to 60% of your time traveling
  • DCD, PMP, CDCPM, CDCMP, CDCP or DCDC Certification(s)
  • JIRA, Smartsheet, or similar project tracking and workflow management experience
  • Knowledge of infrastructure automation and deployment tools
  • Experience managing BPO or contract labor pools during large-scale hardware deployment phases
  • Background in material coordination or logistics management at scale during active deployment (receiving, cycle counting, site-to-site transfers)

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