
Product Engineering NPI Team Lead at Fluidstack (New York, NY)
Fluidstack· New York, NY·
Role details
Fluidstack at a glance
Builds and operates gigawatt-scale AI data centers and fully managed GPU clusters for frontier AI labs, governments, and enterprises.
Fluidstack acquires power, designs and builds data centers, and operates them, and it delivers fully managed multi-thousand-GPU clusters to AI companies. It pitches gigawatts of compute in roughly six months versus an industry norm of 18 to 24, and is the builder behind Anthropic's $50B US data center buildout.
· latest: In talks for $1B at ~$18B valuation (April 2026, reported) · backed by Cacti, Jane Street, Situational Awareness, Patrick and John Collison
Job description
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 NPI Team The NPI team takes hardware from design release to repeatable production across every product Fluidstack builds, from compute racks to medium-voltage switchgear. Examples of key problems the team is working on:
- Stand up a stage-gate NPI process that works across product families as different as rack-level compute integration and MV power equipment, without forcing them through the same checklist.
- Run multiple concurrent NPI programs with a small TPM team, keeping schedule, readiness, and risk visible at the portfolio level.
- Define what "ready to transfer" means with manufacturing engineering, so products land in production without a wave of post-transfer ECOs.
- Enforce change discipline (ECOs, deviations, readiness criteria) at a pace that keeps up with the largest AI compute buildout in history.
Role Scope
- Build the NPI process from scratch: gate definitions, readiness criteria, and ECO and change discipline that hold across products ranging from racks to MV switchgear.
- Lead and develop the NPI TPM team, allocating 3 TPMs across 6 product families and making the tradeoffs explicit when coverage gets thin.
- Own portfolio-level program visibility, with status and risk reporting rigorous enough that leadership hears about problems from you before anyone else.
- Set the transfer-to-manufacturing standards with manufacturing engineering, defining exit criteria a program must clear before production takes ownership.
- Hold the RACI between TPMs and engineering technical leads so ownership never blurs and no decision waits on a debate about whose call it is.
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.
- 10+ years in NPI or program management at a hardware OEM or ODM, with 3+ years leading TPM or NPI teams.
- You've built stage-gate processes yourself, defining the gates, readiness criteria, and ECO discipline, not just operated inside a process someone else designed.
- You've led TPM or NPI teams and developed the people in them, not just assigned their work.
- You've managed programs spanning multiple product lines simultaneously and can show how you kept them all honest.
- You've killed a program too late at least once, and you can name the signal you missed and what you watch for now.
- You keep NPI lightweight enough that engineers use it instead of routing around it.
- Bonus: portfolio management tooling, products spanning compute and power equipment, manufacturing transfer at new plants, or building teams from zero.
We are committed to pay equity and transparency. Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.
Why work at Fluidstack
- Mission-Driven Work: Directly building the physical infrastructure for the next generation of AI — a rare opportunity to work on frontier technology with tangible, large-scale impact.
- Rapid Growth Trajectory: 516.7% headcount growth YoY with 270 open positions signals massive opportunity for career acceleration and ownership.
- Technical Depth: Work spans hardware (electrical, civil, mechanical engineering for data centers) and software (GPU cluster orchestration, monitoring, infrastructure platform engineering), offering diverse technical challenges.
- Top-Tier Talent Pool: Employees come from AWS, Tesla, Crusoe, Palantir, Oracle, and Meta, indicating a high-caliber, ambitious work environment.
- Work Policy: Remote-friendly for many roles, with hubs in San Francisco, New York, Austin, Seattle, and Buffalo. Departments span Engineering, Operations, Data Center, Security, and more.
- Culture: Emphasis on speed, autonomy, and removing friction — "We build technology to enable delivery of gigawatts of compute in 6 months" — reflecting a bias for action and operational excellence.