5-7 years of experience in software development with proficiency in Go, Python, or TypeScript.
Experience building features on LLM APIs and document extraction systems.
Familiarity with AI coding tools and autonomous agents.
Proven ability to identify problems and design solutions independently.
Experience working under tight deadlines while ensuring data integrity for future use.
Established credibility with factory and procurement operators to drive software adoption.
Strong product sense with a focus on user-friendly interfaces and workflows.
Responsibilities
Transform bill of materials into a comprehensive order book for procurement.
Ensure procurement tracking is reliable and timely through automated systems.
Manage the end-to-end process from receiving goods to payment reconciliation.
Develop manufacturing processes as software before factory operations begin.
Collaborate closely with sourcing leads and factory teams to optimize scheduling and cash flow.
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
Turn the bill of materials into the order book: every template bill carries the price and lead time of each line, every project bill locks against a building, and every purchase order derives from it, so tens of billions of dollars of GPUs, optics, switchgear, and cooling are ordered from one source of truth instead of a spreadsheet.
Make procurement tracking trustworthy: the rules that decide when a line is late, what its status means, and which lines sit on the critical path run in code against live vendor emails, documents, and general contractor purchase orders through the extractors you ship, so drift is caught the week it happens and the recovery plan is drafted before the vendor calls.
Close the loop from receiving to payment: every delivery matches a purchase order line, every warehouse bin knows its serial numbers, cycle counts are scored against an accuracy gate, and finance three-way matches from the same record, so the question "did we get what we paid for" has one answer instead of three.
Ship manufacturing as software before the factory opens: manufacturing bills of materials, engineering change notices, and the drawing tree live in one model, inspection and test plans and first article procedures generate per asset from the design revision, and a failed check opens a nonconformance with the evidence attached and rescores the vendor.
Embed with sourcing leads, quality managers, factory operators, and warehouse teams, on their floors and in their vendor calls, and turn their judgment into the systems that decide the order schedule, the cash demand by month, and the payment schedule the company plans against.
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, and you've put document extraction into production against messy real inputs.
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 data models and foundations that other engineers extended after you moved on.
You've earned credibility with operators in factories, warehouses, or procurement, and driven adoption of your software inside their real deadlines, like a live production run or a quarter-end close.
Your product taste shows in what you've shipped: interfaces the floor calls obvious, and workflows that match how the work actually happens.
Bonus: MES, ERP, WMS, or TMS systems. BOM lineage, engineering change control, and serialized component traceability. Supplier quality (NCRs, CAPA, FAI). Three-way match and receiving reconciliation. LLM extraction over vendor documents. High-volume hardware supply chains.
Benefits:
Competitive total compensation package (cash + equity)
