Product Engineer, Business Operations
San Francisco, CA$224k - $300k + equityFull-timePosted 3w ago
About the role
Professional role focused on building software-driven operational systems to enable scale in hiring, finance, and contractual processes for Fluidstack’s AI infrastructure business.
Responsibilities
- Build the hiring machine as software. Hiring is the company's biggest bottleneck. Every role, seat, and interview loop already lives in one graph, and you take it the rest of the way: the recruiting system synced both directions, interviewer supply and load visible to every hiring manager, and onboarding generated the moment an offer is signed, so day one starts with the job instead of the checklist.
- Build the cash view the company runs on: today no system derives near term spend, so finance forecasts by hand and misses what construction already committed. You turn purchase orders, contract terms, and build milestones into an order schedule, a cash demand curve by month, and a payment schedule that recompute as procurement and construction move.
- Build one capital pipeline from approved budget to released capital to spent dollar, gated on build milestones the delivery system already verifies, with the proof chain behind every financing drawdown assembled automatically, so releasing nine figures takes a day of judgment and funding follows construction within days.
- Parse every MSA, change order, and side letter into obligations, prices, deadlines, penalties, and SLAs, so a delivery lead gets what we owe a customer at a site with the clause attached, a change order arrives with its legal and finance checks done, and the corpus of executed deals prices the next negotiation.
- Embed forward-deployed with finance, treasury, accounting, legal, and people teams through a close, a drawdown, a negotiation, and a hiring loop, and turn their approvals, contract terms, screens, and reconciliations into structured data and generated work, including a continuous close where capitalization and depreciation post as events the moment they happen.
Qualifications
- Shipped production code in Go, Python, or TypeScript, and can adapt to the problem's language.
- Built real features on LLM APIs (OpenAI, Anthropic, or open-weight models), MCP servers, and agentic frameworks.
- Work daily with AI coding tools like Claude Code and Cursor, and enable agents to operate autonomously.
- Identify problems, design solutions, and ship without waiting for direction or approval.
- Move fast under deadline while leaving foundations that others can extend.
- Earned credibility with non-engineering stakeholders (finance, legal, recruiters, auditors) and drove software adoption under real deadlines.
- Product taste reflected in responsibilities that align with workflows of recruiters, lawyers, or finance.
- Bonus: ERP and fixed asset accounting; FP&A, cash forecasting, and capital planning; structured finance or treasury operations; contract lifecycle systems; ATS/HRIS integrations; LLM extraction over legal/financial documents.
Skills
Required:Go, Python, or TypeScriptLLM APIs and agentic frameworksAI coding toolsCross-functional influence
Benefits
- Competitive total compensation package (cash + equity)
- Health, dental, and vision insurance
- Retirement plan
- Generous PTO policy
Last updated Oct 6, 2026. Interested? Apply on the company site.
About Fluidstack
Fluidstack builds civilization-scale infrastructure for AI
Fluidstack builds civilization-scale infrastructure for AI, delivering gigawatts of compute in 6 months. We're leading the deployment of Anthropic's $50B compute build out.
AI infrastructurecompute centershardwaresoftwarepowerdata centersAnthropicfrontier compute
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