USAProduct Manager, Compute Operations
1 мес. назад
245k–288k USD / yearUSAMiddleOnsite
Manage and drive operations related to computing infrastructure for large-scale AI deployments.
Требования
- 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.
- 3+ years of technical product management, ideally on data, platform, or ontology products
- A track record of shipping products with measurable impact, and the numbers to show it
- You can reason about system design and hold your own with engineers on technical tradeoffs, not just relay their conclusions
- Strong written communication: crisp specs, and prioritization rationale sharp enough that stakeholders who disagree still understand why you chose what you chose
- You're comfortable in ambiguity and know how to impose structure where none exists, turning an unmapped operational domain into a model others can build on
- Bonus: exposure to compute or datacenter operations, infrastructure systems, or building LLM-powered applications
- We are committed to pay equity and transparency.
- 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. will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
- You 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 careers@.io 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.
Другое
- 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!
- Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.
- Velocity. We drive everything forward as fast as possible.
- 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.
- The Compute Production team builds the data foundations and internal products that let bring gigawatt-scale AI compute online and keep it running.
- Examples of key problems the team is working on:
- Build the ontology that models compute production end to end, from hardware and networks to the operational workflows that deliver clusters to customers
- Turn fragmented operational data spread across tools, spreadsheets, and people's heads into a single source of truth engineers and operators can build against
- Ship product surfaces that give compute production teams real leverage: fewer manual handoffs, faster diagnosis, clearer state of the fleet
- Apply LLM-era tooling to operational workflows where structured data and automation can replace repetitive human effort
- Own product direction for the team's ontology and data products serving compute production: the roadmap, the priorities, and the success metrics that justify them
- Turn messy compute production domains into data models, specs, and product surfaces clear enough that engineers can ship against them without a second round of discovery
- Drive technical tradeoffs with engineers and ship end to end, from problem definition through delivery
- Run direct discovery with compute production stakeholders to understand their domain, then validate that what you built actually changes how they work
- Define and track the metrics that prove the product is delivering real leverage, and cut or redirect work that isn't