Decision Engineering Team Lead, Manufacturing & Supply Chain
FluidstackAbout Fluidstack We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it. We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI. We hire people who care deeply about this problem space. If that is you, please apply! 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 and lead the team that turns manufacturing and supply chain into software: thirteen Decision Engineers to hire, covering the order book for tens of billions of dollars of equipment, procurement tracking that catches drift the week it happens, receiving that reconciles to the purchase order, quality generated per asset, and a factory that opens this fall on a schedule that replans itself. Own delivery end to end: you set the technical direction, sequence the work with the function's Product Manager, and hold the bar on what ships, and you still write and ship code every week. Make the architecture calls that keep the function one system: bills of materials, purchase orders, vendor documents, test evidence, inventory, and shipments all land in one graph with price and lead time joined to the design, and you own the boundaries that stop it from becoming six tools with six truths. Turn the company bottleneck into a solved problem: the order schedule, the cash demand by month, and the payment schedule derive from the same graph the buyers work in, so leadership plans capital against what the supply chain will actually deliver instead of a document that goes stale the day it is written. Keep the team forward-deployed: your engineers sit with sourcing leads, quality managers, factory operators, and warehouse teams, on their floors and in their vendor calls, and you make sure what they build runs the line and the warehouse, not just the demo. 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 for years, and you still ship weekly while leading. You've …