Technical Program Manager, Network

United States · California · San Francisco, CA · Texas · Washington · Austin, TX · Remote · New York, NY · Seattle, WAPosted Jul 17, 2026
Technical Program Manager, Network LocationNew York, NY; Austin, TX; San Francisco, CA; Seattle, WA; U.S. RemoteEmployment TypeFull timeLocation TypeOn-siteDepartmentDeliveryCompensation$186K – $220KTo provide greater transparency to candidates, we share base pay ranges for all US-based job postings. Our compensation package includes base salary, equity for all full time roles, benefits, and, for applicable roles, commissions plans.This range reflects a good-faith estimate based on the applicable pay scale, the range previously established for this role, the compensation of individuals currently in equivalent positions, and/or the budgeted amount for the position. Actual compensation may vary based on experience, qualifications, and other factors.We welcome compensation discussions if this range doesn't meet your requirements. Outstanding candidates may be eligible for adjusted terms, plus meaningful equity that ensures you benefit directly from the company's long-term performance.Total compensation may also include equity in the form of restricted stock units. About FluidstackWe 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 OperateExtreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.Velocity. We drive everything forward as fast as possible.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.The Deployments TeamExamples of key problems the team is working onTurn empty data halls into serving GPUs in weeks. Deployment owns everything between construction handover and customer-ready compute: racks, fabric, and validation at hundreds of megawatts per site.Stand up gigawatts a year, hundreds of megawatts at a time. Data halls go from construction handover to serving GPUs in weeks, across multiple sites at once.Deploy 10s to 100s of GWs with software, not headcount. Bring-up, validation, and handoff run on tooling the team builds, so the hundredth data hall deploys faster than the first instead of needing a hundred times the people.Role ScopeRun the network deployment program: turn-up schedules, material readiness, and cross-team dependencies per site.Track fabric-critical materials, switches, optics, cables, from purchase order to installed, escalating shortfalls early.Coordinate network turn-up with construction, deployment, and compute schedules so the fabric is never the long pole.Report network deployment status with link-level truth, not summary optimism.What We're Looking ForThe below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would.You've program-managed network builds or turn-ups at scale.You track material readiness at the SKU level when it matters.You know enough networking to challenge a status update.You close dependencies across teams that don't report to you.Bonus:...

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