Forward Deployed Engineer, Business Operations
Fluidstack · San Francisco, CA
About this role
## About Fluidstack We exist to make humanity more free. Powerful AI will be the biggest lever for human choice—but only if models are aligned with what humanity actually wants. Fluidstack delivers **10 to 100s of GWs of compute faster** than anyone else by acquiring power, designing, building, and operating civilization-scale AI infrastructure. --- ## How We Operate - **Be a barrel:** Full autonomy. Own things end to end—no permission required to operate outside your core role. - **Insane urgency:** Drive everything forward as fast as possible. - **Reason from first principles:** Challenge assumptions; no egos—the best idea wins. - **Love of the game:** Long hours at high intensity to push the frontier. - **Build something that actually matters:** Spend your time on work that moves the world. --- ## Decision Team (Examples of Key Problems) - **Automate the delivery of gigawatts:** Turn AI infrastructure delivery steps into software using live knowledge graphs. - **Forward-deploy beside the experts:** Convert on-site judgment into systems that reach every unit. - **Deliver every supercomputer faster than the last:** Learn once, prevent issues everywhere. --- ## Role Scope (Forward Deployed Engineer, Business Operations) You’ll build software that removes bottlenecks and turns business operations into structured, continuously updated systems—especially across hiring, finance, procurement, and legal. ### What you’ll build - **The hiring machine as software:** Sync recruiting systems both directions, make interviewer supply/load visible, and generate onboarding automatically when offers are signed. - **The cash view the company runs on:** Convert purchase orders, contract terms, and build milestones into an order schedule, cash demand curve, and payment schedule that recomputes as work progresses. - **One capital pipeline:** Move from approved budget → released capital → spent dollars, gated on verified build milestones, with an automated proof chain for financing drawdowns. - **Contract parsing into obligations:** Parse MSAs, change orders, and side letters into prices, deadlines, penalties, and SLAs so delivery teams get what we owe—fully clause-attached. - **Forward-deployed with business teams:** Embed through close, drawdown, negotiation, and hiring loops—turn approvals and reconciliations into structured data and generated work (including continuous close). --- ## What We’re Looking For - Shipped production code in **Go, Python, or TypeScript** (and can pick up other languages as needed). - Built real features on **LLM APIs** (OpenAI, Anthropic, or open-weight models), **MCP servers**, and/or **agentic frameworks**. - Works daily with AI coding tools like **Claude Code** and **Cursor**, and can get agents to do useful work autonomously. - Identifies problems, designs solutions, and ships without waiting for direction. - Moves fast under deadlines while leaving strong foundations others extend. - Earns credibility with non-engineering experts (finance, legal, recruiting, auditors) and drives adoption inside real timelines. - Strong product taste: interfaces/workflows feel obvious and match how teams actually operate. ### Bonus - ERP and fixed asset accounting - FP&A, cash forecasting, capital planning - Structured finance/treasury operations - Contract lifecycle systems - ATS/HRIS integrations (Ashby, Greenhouse, Rippling, Workday) - LLM extraction over legal and financial documents --- ## Benefits - Competitive total comp
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