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FluidStack

Builds and runs GPU clusters for AI labs

Product Engineering NPI Team Lead

Engineering LeadershipUpdated on Nov 11
Full-time$208k - $263k /yrIn-person

About the Job

Requirements

  • At least 10 years of experience in NPI or program management at a hardware OEM or ODM, including at least 3 years leading TPM or NPI teams.
  • Experience building stage-gate processes, including defining gates, readiness criteria, and ECO discipline.
  • Experience leading TPM or NPI teams and developing team members.
  • Experience managing programs spanning multiple product lines simultaneously.
  • Ability to keep NPI processes lightweight and usable by engineers.
  • Ability to work in non-climate-controlled environments, including active construction areas, data halls, electrical and mechanical rooms, and outdoor spaces, which may be hot, cold, humid, loud, or dusty.
  • Ability to lift, carry, push, and pull up to 40 pounds independently.
  • Ability to sit, stand, walk, kneel, bend, and crouch for long periods, including full shifts on one's feet.
  • Ability to wear required personal protective equipment, including hard hats, safety glasses, steel-toed boots, gloves, and hearing protection, and follow site safety rules.
  • Ability to climb stairs and ladders and move around equipment, cable trays, and uneven surfaces.

Responsibilities

  • Build the NPI process from scratch, including gate definitions, readiness criteria, and ECO and change discipline across products ranging from racks to medium-voltage switchgear.
  • Lead and develop the NPI TPM team, allocate three TPMs across six product families, and make tradeoffs explicit when coverage is limited.
  • Own portfolio-level program visibility through status and risk reporting, ensuring leadership is informed of problems early.
  • Set transfer-to-manufacturing standards with manufacturing engineering and define exit criteria programs must meet before production assumes ownership.
  • Establish the RACI between TPMs and engineering technical leads so ownership is clear and decisions are not delayed by ambiguity.

Desired Qualifications

  • Experience with portfolio management tooling.
  • Experience with products spanning compute and power equipment.
  • Experience with manufacturing transfer at new plants.
  • Experience building teams from zero.

About the Company

FluidStack

Builds and runs GPU clusters for AI labs

Fluidstack provides large clusters of GPU servers to AI labs training advanced models, and it builds custom data centers for customers that outgrow existing facilities. In 2025, Anthropic chose Fluidstack to build data centers in Texas and New York as part of a $50 billion investment in American AI infrastructure. Labs pay for dedicated clusters of Nvidia GPUs, sometimes tens of thousands of chips, housed in partner data centers around the world. They reach the clusters through a web console or API, while Fluidstack runs the hardware, networking, and day-to-day operations. Fluidstack was founded in London in 2017 and has its headquarters in New York.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$12.4B
Headquarters
New York City, New York
Founded
2017

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