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FluidStack

Builds and runs GPU clusters for AI labs

Early Careers Lead/Program Manager

Generalist RecruitingConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • You've built or materially scaled a university recruiting program and can point to specific outcomes: schools entered, pipelines built, conversion rates improved.
  • You think in programs, not requisitions: you design for the long term, building relationships and pipelines that compound over time, not just this semester's headcount.
  • You hold an uncompromising bar for early talent: you know the difference between a strong GPA and genuine potential, and you evaluate accordingly.
  • You create structure from ambiguity and write the playbook yourself rather than waiting for one.
  • You measure what matters, including pipeline conversion, source quality, and intern-to-full-time conversion, and use it to make better decisions rather than just report activity.

Responsibilities

  • Build Fluidstack's early careers function from zero: own the strategy, establish the infrastructure, and run full-cycle recruiting for intern and new graduate roles across technical and non-technical teams.
  • Design and execute a university recruiting strategy by identifying high-signal target schools, building relationships with faculty and student organizations, and establishing Fluidstack's brand on campuses where ambitious early-career talent concentrates.
  • Co-design internship and new graduate programs with Talent Acquisition, Compensation, and Talent Acquisition Operations, then own adoption end to end by embedding and running programs across the business.
  • Plan and execute on-campus and virtual recruiting events focused on early engagement, education, and brand.
  • Screen early-career candidates by assessing intellectual capability, mission alignment, and potential, and make long-term hiring decisions.
  • Track pipeline health, conversion rates, offer acceptance, and source quality across programs; use the data to sharpen strategy and report results to leadership.
  • Build hiring infrastructure, rubrics, evaluation frameworks, and program playbooks that create a sustainable early talent funnel as Fluidstack scales.

Desired Qualifications

  • University recruiting in artificial intelligence, infrastructure, or deep-technical markets.
  • Building early-careers programs at high-growth or zero-to-one companies.
  • Employer brand strategy for campus recruiting.
  • Willingness to travel during peak recruiting cycles.

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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