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FluidStack

Builds and runs GPU clusters for AI labs

Forward Deployed Engineer - Business Operations

Backend EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • You have shipped production code in Go, Python, or TypeScript and can learn additional languages as needed.
  • You have built real features using large language model APIs, including OpenAI, Anthropic, or open-weight models, MCP servers, and agentic frameworks.
  • You work daily with AI coding tools such as Claude Code and Cursor, and use agents autonomously alongside you.
  • You identify problems, design solutions, and ship them without waiting for direction or approval.
  • You have moved quickly under deadlines while leaving foundations that other engineers could extend.
  • You have earned credibility with experts outside engineering, such as finance leads, lawyers, recruiters, or auditors, and driven adoption of software within real deadlines.
  • You have product judgment demonstrated through shipped interfaces and workflows that match how users perform their work.

Responsibilities

  • Build the recruiting system with two-way synchronization, visibility into interviewer supply and workload, and automated onboarding triggered by signed offers.
  • Build a near-term cash forecasting system that transforms purchase orders, contract terms, and construction milestones into order schedules, monthly cash demand curves, and payment schedules that update as work progresses.
  • Build a capital pipeline from approved budgets through released capital to spending, gated on verified construction milestones, and automatically assemble supporting evidence for financing drawdowns.
  • Parse master service agreements, change orders, and side letters into obligations, prices, deadlines, penalties, and service-level agreements, and make the resulting information available to delivery leads and contract workflows.
  • Embed with finance, treasury, accounting, legal, and people teams through operational processes, turning approvals, contract terms, screens, and reconciliations into structured data and generated work.
  • Support a continuous close process in which capitalization and depreciation are posted as events occur.

Desired Qualifications

  • Experience with enterprise resource planning systems and fixed asset accounting.
  • Experience with financial planning and analysis, cash forecasting, and capital planning.
  • Experience with structured finance or treasury operations.
  • Experience with contract lifecycle systems.
  • Experience integrating applicant tracking systems and human resources information systems, such as Ashby, Greenhouse, Rippling, or Workday.
  • Experience with large language model extraction over legal and financial documents.

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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