Fluidstack Forward Deployed Engineer, Business Operations at Fluidstack building software systems to automate hiring and financial forecasting. Supports scaling company operations through data-driven tools.
Responsibilities
Automate delivery processes for AI infrastructure
Work alongside product teams and experts on factory floors and sites
Build software systems for hiring and onboarding
Develop finance forecasting and payment scheduling systems
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.