Product Engineer, Business Operations

San Francisco, CAfull timeOn Site

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Product Engineer, Business Operations at Fluidstack · LumiJobs

$224k–$300k

H1B: no

Fluidstack The Product Engineer, Business Operations at Fluidstack builds software systems to automate AI infrastructure delivery and optimize company operations. This role involves developing solutions for hiring, finance forecasting, and operational workflows to accelerate AI compute deployment.

Responsibilities

Automate delivery of gigawatts of AI compute infrastructure
Develop software for recruiting and hiring processes
Create finance forecasting and cash demand scheduling systems
Collaborate with product teams and operational experts

Qualification

The below is a starting pointYou've shipped production code in GoYou identify problemsBonus

Required

The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would.
You've shipped production code in Go, Python, or TypeScript, and you pick up whatever language the problem demands.
You've built real features on LLM APIs (OpenAI, Anthropic, or open-weight models), MCP servers, and agentic frameworks.
You work daily with AI coding tools like Claude Code and Cursor, and you get agents doing useful work autonomously alongside you.
You identify problems, design the solution, and ship it without waiting for direction or approval.
You've moved fast under deadline while leaving foundations that other engineers extended after you moved on.
You've earned credibility with experts outside engineering: finance leads, lawyers, recruiters, or auditors, and driven adoption of your software inside their real deadlines, like a working close calendar or an offer that has to go out today.
Your product taste shows in what you've shipped: a controller, a recruiter, or a lawyer calls your interface obvious, and the workflow matches how their work actually happens.
Bonus: ERP and fixed asset accounting. FP&A, cash forecasting, and capital planning. Structured finance or treasury operations. Contract lifecycle systems. ATS and HRIS integrations (Ashby, Greenhouse, Rippling, Workday). LLM extraction over legal and financial documents.