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!

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.

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. While physical installation and construction execution are owned by partner teams, you are accountable for overall delivery outcomes and are expected to fill gaps before they become blockers.

The best candidates for this role bring deep experience in the intersection of data center construction handover and AI/GPU hardware deployment, not just one or the other. You know how construction sequences impact infrastructure readiness, how ICT and CDU work intersect, and how to hold multiple workstreams accountable across time zones and organizational boundaries.

Focus

Own program delivery for data hall and AI cluster activation, from planning through operational handoff

Coordinate cross-functional teams responsible for construction, infrastructure, network, hardware, ICT, commissioning, and operations execution

Translate hyperscale AI/GPU and DLC infrastructure requirements into actionable deployment plans

Anticipate downstream impacts of technical sequencing decisions on capacity, schedule, and cluster performance

Drive alignment across teams operating at different speeds, scopes, and time zones – including vendor and contractor partners

Manage and hold accountable vendors, integration contractors, and third-party service providers across the deployment lifecycle.

Operate effectively in ambiguity, making progress with incomplete information and evolving requirements

Develop and drive executive-level program status briefings that clearly communicate schedule health, risks, key decisions, and escalations paths

Maintain clear, current program artifacts: schedules, RACI matrices, risk registers, decision logs, and deployment runbooks

Maintain momentum through changing requirements, tight timelines, and cross-time-zone execution

Collaborate closely with SMEs in networking, ICT, commissioning, systems engineerings, product, procurement, operations, and more before execution – not in isolation.