{"id":1164525,"url":"https://alion.io/job/fluidstack-product-engineer-ai","title":"Product Engineer, AI","company":{"id":716444,"name":"Fluidstack","domain":"fluidstack.com","url":"https://alion.io/company/fluidstack-2","size_band":"1001-5000","is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":86,"open_postings":24,"ghost_share":0,"stale_share":0.542,"repost_share":0,"time_to_fill_p50_days":45,"computed_at":"2026-09-24T05:45:00Z"}},"role":"Product","role_family":"Product","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","New York, United States","Austin, United States","Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":224000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-09-23T22:49:53Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-24T19:14:26Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About Fluidstack\nWe 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. \nWe'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.\nWe hire people who care deeply about this problem space. If that is you, please apply!\nHow We Operate\nBe a barrel. Full autonomy. Own things end to end, take on scope without being asked, no permission required to operate outside your core role.\n\nInsane urgency. We drive everything forward as fast as possible.\n\nReason from first principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.\n\nLove 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.\n\nBuild something that actually matters. If you're going to spend your time, spend it on something that matters to the world.\n\nThe Decision Team\nExamples of key problems the team is working on\nAutomate 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.\n\nForward-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.\n\nDeliver 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.\n\nRole Scope\nBuild 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.\n\nBuild 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.\n\nBuild 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.\n\nParse 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.\n\nEmbed 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.\n\nWhat We're Looking For\nThe 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 .\nYou've shipped production code in Go, Python, or TypeScript, and you pick up whatever language the problem demands.\n\nYou've built real features on LLM APIs (OpenAI, Anthropic, or open-weight models), MCP servers, and agentic frameworks.\n\nYou work daily with AI coding tools like Claude Code and Cursor, and you get agents doing useful work autonomously alongside you.\n\nYou identify problems, design the solution, and ship it without waiting for direction or approval.\n\nYou've moved fast under deadline while leaving foundations that other engineers extended after you moved on.\n\nYou'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.\n\nYour 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.\n\nBonus: 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.\n\nBenefits:\nCompetitive total compensation package (cash + equity)\n\nHealth, dental, and vision insurance\n\nRetirement plan\n\nGenerous PTO policy\n\nWe are committed to pay equity and transparency.\nFluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.\nYou will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email  with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.","description_format":"text","description_chars":6448,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Retirement plans","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Information Technology","Mechanical Components","Data Centers"],"lifecycle":[{"event":"open","at":"2026-09-24T01:49:13Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":0,"expected_fill_days":45,"reasons":["conf:3","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-09-24T05:45:00Z"},"pay":{"stated_usd_annual":300000,"is_top_pay":true},"html_url":"https://alion.io/job/fluidstack-product-engineer-ai","json_url":"https://alion.io/job/fluidstack-product-engineer-ai.json","meta":{"generated_at":"2026-09-24T21:28:04Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}