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FluidStack

Builds and runs GPU clusters for AI labs

Compensation Lead

Compensation & BenefitsConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • At least 4 years of experience in compensation or a related human resources function, including demonstrated ownership of compensation planning cycles and program design.
  • Ability to drive compensation planning transitions in alignment with business and talent strategy.
  • Experience partnering with cross-functional stakeholders to build and refine compensation programs, with deep knowledge of at least one competitive talent market such as technology, artificial intelligence, or infrastructure.
  • Strong analytical skills, including building and maintaining complex compensation models and translating outputs into clear recommendations for senior leaders.
  • Track record of using market data such as Radford, Mercer, Levels.fyi, or similar sources to benchmark and calibrate pay structures.

Responsibilities

  • Partner directly with leadership and department heads as a compensation advisor, understand their goals, challenge assumptions, and provide market data and competitive intelligence to inform pay strategy.
  • Own annual and off-cycle compensation planning processes end-to-end, ensuring alignment with business strategy, talent priorities, and budget, and remain hands-on through execution.
  • Design and maintain compensation tools, models, and resources for cross-functional needs, including offer decisioning, leveling guidance, and performance-cycle support.
  • Conduct ongoing competitive benchmarking and market analyses using tools such as Radford, Mercer, or Levels.fyi, and translate findings into actionable guidance.
  • Design, benchmark, and continuously improve compensation and incentive structures informed by department-level expertise and competitive practices in AI, infrastructure, and technology companies.
  • Partner with People and leadership to ensure compensation inputs into performance and review cycles are accurate, consistent, and aligned with strategy.
  • Build and maintain compensation models, reporting cadences, and dashboards that surface pay equity, offer competitiveness, and retention risk to support decision-making.

Desired Qualifications

  • Background at high-growth technology companies or startups, preferably in artificial intelligence, cloud or infrastructure, or data centers.
  • Experience designing incentive and equity programs, including a strong understanding of private versus public equity frameworks.
  • Exposure to compensation work in a pre-IPO or rapidly scaling environment.

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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