Technical Program Manager Lead, R&D
California · San Francisco, CA · Texas · Washington · Austin, TX · New York, NY · Seattle, WAPosted Jul 18, 2026
Technical Program Manager Lead, R&D LocationAustin, TX; New York, NY; San Francisco, CA; Seattle, WAEmployment TypeFull timeLocation TypeOn-siteDepartmentDevelopmentCompensation$240K – $286KTo 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 R&D TeamExamples of key problems the team is working onTurn modular and behind-the-meter designs into buildable, ordered, and scheduled reality across mechanical, electrical, controls, and modelling workstreams.Redesign every data center system as a pre-engineered, shippable module that leaves the factory ready for UL listing and multi-state AHJ approval.Develop and scale first-of-a-kind modular data centers that compress a gigawatt build from years of site trades into a factory schedule.Prove out behind-the-meter power and the next generation of cooling and electrical distribution for multi-GW campuses.Role ScopeRun the R&D program portfolio that turns modular and behind-the-meter designs into buildable, ordered, and scheduled reality across mechanical, electrical, controls, and modelling workstreams.Hold one integrated view of the dependencies, decisions, and dates where workstreams share the same engineers and deadlines, and keep it current as designs change.Run the operating rhythm of design reviews, decision logs, and escalations that keeps every workstream aligned and surfaces slips weeks before they hit the schedule.Produce the honest one-pager on where every R&D program stands, so leadership sees real status and open decisions without chasing them.Keep program artifacts as the single source of truth engineers actually run off of, so every program works from one current plan instead of scattered threads.What We're Looking ForThe below is a starting point. We always make...