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FluidStack

Builds and runs GPU clusters for AI labs

New Product Introduction Technical Program Manager - Product Engineering

Program ManagementConfirmed live in the last 24 hours
Full-time$208k - $263k /yrIn-person

About the Job

Requirements

  • At least 5 years of technical program management experience for hardware new product introduction at an original equipment manufacturer, original design manufacturer, or hyperscaler, running programs from kickoff through stage gates to rate production.
  • An engineering degree and sufficient technical depth to hold design reviews to rigorous standards.
  • Experience making a difficult decision on a slipping program, such as cutting scope, moving the date, or spending to recover, and the ability to explain the decision and its cost.
  • Experience handling a design validation test-stage component change against a lead time of 20 weeks, including determining participants, decision-making data, and required closure speed.
  • Ability to build credible program schedules despite design uncertainty, identifying uncertainties that must be resolved through decisions.
  • Ability to track risk across five or more workstreams using appropriate tools and judgment.
  • Ability to work in non-climate-controlled environments, including active construction areas, data halls, electrical and mechanical rooms, and outdoor spaces, in conditions that 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 extended 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

  • Own the program schedule, stage gates, and cross-functional execution for a product family, such as rack, gear, or power conversion, from kickoff through rate production.
  • Manage risks and dependencies across design, manufacturing, quality, and supply chain, surfacing significant risks early through effective tools and judgment.
  • Facilitate gate reviews and readiness scoring, and enforce the criteria for passing reviews despite schedule pressure.
  • Broker escalations and decisions between engineering and delivery so long-lead decisions are made promptly.
  • Build program schedules that remain credible amid design uncertainty, documenting assumptions and decision dates rather than adding schedule padding.

Desired Qualifications

  • Experience with GPU or dense-compute hardware programs.
  • Experience with switchgear or power-conversion new product introduction.
  • Contract manufacturer management experience.
  • Experience running engineering change order and change-discipline systems.

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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