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FluidStack

Builds and runs GPU clusters for AI labs

Decision Engineer, Business Operations

AI Application Engineering +3Confirmed live in the last 24 hours
Full-timeIn-person
Earn $5k if you accept an offer

About the Job

Requirements

  • Production software development experience in Go, Python, or TypeScript, with the ability to learn additional languages as needed.
  • Experience building production features with large language model APIs such as OpenAI, Anthropic, or open-weight models, MCP servers, and agentic frameworks.
  • Daily experience using AI coding tools such as Claude Code and Cursor, including enabling agents to work autonomously.
  • Ability to identify problems, design solutions, and ship without waiting for direction or approval.
  • Experience moving quickly under deadlines while building foundations that other engineers can extend.
  • Ability to earn credibility with finance leads, lawyers, recruiters, or auditors and drive adoption of software within their operational deadlines.
  • Demonstrated product judgment through interfaces and workflows that match how non-engineering users perform their work.

Responsibilities

  • Build the hiring machine as software, including a bidirectionally synchronized recruiting system, interviewer supply and workload visibility, and automated onboarding when an offer is signed.
  • Build a cash-management view that converts purchase orders, contract terms, and construction milestones into an order schedule, monthly cash-demand curve, and payment schedule that recompute as conditions change.
  • Build a capital pipeline from approved budget through released capital to spent dollar, gated on verified construction milestones, with an automatically assembled proof chain for financing drawdowns.
  • Parse master service agreements, change orders, and side letters into obligations, prices, deadlines, penalties, and service-level agreements, with attached clauses and automated legal and finance checks.
  • Embed with finance, treasury, accounting, legal, and people teams through operational workflows and convert approvals, contract terms, screens, and reconciliations into structured data and generated work.
  • Implement continuous-close workflows in which capitalization and depreciation are posted as events when they occur.

Desired Qualifications

  • Experience with enterprise resource planning 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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