Experience shipping production code in Go, Python, or TypeScript.
Background building features on LLM APIs like OpenAI or Anthropic.
Proficient in using AI coding tools for autonomous workflows.
Ability to identify problems, design solutions, and implement them independently.
Demonstrated speed under deadlines while ensuring maintainability of code.
Established credibility with non-engineering stakeholders like finance or legal teams.
Product taste evident in user-friendly interfaces and workflow alignment.
Responsibilities
Build a comprehensive hiring system that enhances the recruitment process.
Create a cash flow view that tracks near-term expenditures effectively.
Develop an automated capital pipeline linking budget approvals to expenditures.
Transform legal documents into actionable insights and project obligations.
Work closely with various teams to automate approvals and enhance data management.
Benefits
Competitive total compensation package (cash + equity)
Health, dental, and vision insurance
Retirement plan
Generous PTO policy
Full Job Description
How We Operate
Be a barrel. Full autonomy. Own things end to end, take on scope without being asked, no permission required to operate outside your core role.
Insane urgency. We drive everything forward as fast as possible.
Reason from first principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.
Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward.
Build something that actually matters. If you're going to spend your time, spend it on something that matters to the world.
The Decision Team
Examples of key problems the team is working on
Automate the delivery of gigawatts. Every process that takes AI infrastructure from land to live compute becomes software: schedules, decisions, and todos generated from a live knowledge graph instead of chased by hand.
Forward-deploy beside the experts. Product teams sit with quality managers, sourcing leads, and deployment engineers on factory floors and sites, and turn their judgment into systems that reach every unit.
Deliver every supercomputer faster than the last. Dozens of concurrent projects feed one graph, so every lesson learned at one site becomes a preventive check at all of them.
Role Scope
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.
What We're Looking For
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.
Benefits:
Competitive total compensation package (cash + equity)
