# NPI TPM, Product Engineering at FluidStack > Onsite · United States · Unspecified · Other · open. Source: https://alderhq.app/jobs/ashby%3Afluidstack%3A95281a44-f8d5-43c2-92c2-e5f311634bd6 (read 2026-11-04). ## Facts (observed) - Company: [FluidStack](https://alderhq.app/companies/fluidstack) - Location text: New York, NY; San Francisco, CA; Austin, TX; Seattle, WA - Where it can be done from (inferred): Onsite · United States (evidence: "Location: New York, NY; San Francisco, CA; Austin, TX; Seattle, WA") - Posted: 2026-08-26 (70 days ago) - First seen by alder: 2026-11-02 · last verified: 2026-11-04 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/fluidstack/95281a44-f8d5-43c2-92c2-e5f311634bd6 ## Pay and sponsorship - Posted pay: $208k–$263k per year (from the listing's pay field) - Market band for similar posted roles (New York, n 1342): p25 $88k, median $130k, p75 $184k - H-1B filings at this company for similar roles, FY26: 7, median offered wage $260k ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance)) - Licensed UK sponsor: registered as "Fluidstack Ltd" (checked 2026-11-03, [register](https://www.gov.uk/government/publications/register-of-licensed-sponsors-workers)) ## Description (the employer's text) ### 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. ### The Product Engineering Team Product Engineering takes the hardware behind gigawatt-scale AI data centers from concept to rate production: racks, gear, and power conversion built as products, not one-off projects. Examples of key problems the team is working on: Drive new product families (rack, gear, power conversion) through stage gates from kickoff to rate production on schedules set by data center delivery dates, not by when the design feels done. Manage long-lead components and DVT-stage design changes against 20-week-plus lead times without blowing the program. Keep design, manufacturing, quality, and supply chain converging on the same build, the same revision, and the same date across multiple concurrent programs. Build gate reviews and readiness scoring rigorous enough that a pass means the product is actually ready, not that the meeting ran out of objections. ### Role Scope Own the program schedule, stage gates, and cross-functional execution for a product family (rack, gear, or power conversion) from kickoff through rate production. Run risk and dependency management across design, manufacturing, quality, and supply chain, with tooling and judgment that surface the top risks early instead of a status-report factory that surfaces nothing. Facilitate gate reviews and readiness scoring, and hold the line on what kills a pass, even when the schedule pressure says wave it through. Broker escalations and decisions between engineering and delivery so long-lead calls get made in days instead of weeks. Build program schedules that hold up even when the design team says everything is uncertain, with explicit assumptions and decision dates instead of padding. ### What We're Looking For The 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. 5-10 years of technical program management of hardware NPI at an OEM, ODM, or hyperscaler, running programs from kickoff through stage gates to rate production. An engineering degree and enough technical depth to hold design reviews honest: you can tell the difference between a real answer and a slide. You've made the hard call on a slipping program (cut scope, slip the date, or spend to recover) and can walk through the decision and what it cost. You've handled a DVT-stage component change against a 20-week lead time and know how to run that decision: who's in the room, what data settles it, and how fast it has to close. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Afluidstack%3A95281a44-f8d5-43c2-92c2-e5f311634bd6 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.