Technical Program Manager
Fluidstack
About 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! The Enablement Team Examples of key problems the team is working on
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! The Enablement Team Examples of key problems the team is working on
- Solve adoption as a human problem, not a tooling problem. The barrier to building with AI is rarely the technology anymore, it's unfamiliar workflows and trust, and the patterns that close that gap are what get people building.
- Give non-technical builders the same visibility engineers already have. Building software shouldn't require reading code to know whether it's working or where it's stuck, so the frameworks that lower friction and surface progress are what let anyone build.
- Build the harness that lets a fleet of agents be trusted with real work. An agent that writes code only matters if someone can watch it run, check what it did, score it, and send it back to try again, so the systems that make agentic work observable and evaluated are what turn agents into something the org can actually rely on.
- Drive adoption of the automation platform across every function: data center delivery, supply chain, manufacturing, finance, and operations all run on the tools this org builds, and adoption is what turns shipped software into automated work.
- Run the rollout, onboarding, and training programs that take a team from first demo to living in the tools, one function at a time.
- Sit with delivery, procurement, and finance teams to find exactly where adoption sticks, then build the fix yourself, whether that's a frontend surface, a dashboard, or the workflow UI that closes the gap.
- Measure adoption surface by surface and feed what's not being used back to the product teams as roadmap signal, so production usage decides what ships next.
- Own the enablement program across dozens of teams at once, from the first pilot function to the whole company running on the platform.
- You've run adoption, rollout, or change programs where real teams changed how they work, and the new workflow stuck after you moved on.
- You build frontend surfaces yourself (React, TypeScript, or similar) instead of filing a ticket and waiting on an engineering queue.
- You prototype with AI tools (Claude Code, Cursor, LLM APIs, MCP) daily and ship what works.
- You've held credibility with non-technical operators and platform engineers in the same hour, distilling each side's problem into a fix the other side accepts.
- You sit with the people doing the work, watch where they get stuck, and turn what you see into fixes that ship the same week.
- You find the unowned problem, take it, and drive it all the way to adopted without anyone assigning you the work.
- You measure success by usage, not launches, and you treat a shipped feature nobody uses as a miss.
- Bonus: Internal platform or developer enablement programs. Design systems or UI prototyping. Training or documentation programs at scale. Analytics tooling for adoption measurement.
- Competitive total compensation package (salary + equity).
- Retirement or pension plan, in line with local norms.
- Health, dental, and vision insurance.
- Generous PTO policy, in line with local norms.
Vacancy posted 4 hours ago
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