How We Operate- 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 Business Operations TeamThe Business Operations team builds the ontology and data products that turn Fluidstack's operational reality into structured, usable systems, so the people running the largest AI compute buildout in history can make decisions from data instead of spreadsheets.Examples of key problems the team is working on:
- Turn messy operational domains (contracts, vendors, workflows, financial operations) into a shared ontology that engineers can build against and operators actually trust
- Build data products and product surfaces that replace ad hoc tracking with structured, queryable systems of record
- Apply LLM-era tooling to operational workflows where structured data plus automation can remove hours of manual work per week
- Prove leverage with metrics, so every product the team ships can show the operational time or errors it eliminated
Role Scope- Own product direction for the team's ontology and data products: the roadmap, the priorities, and the success metrics, with rationale clear enough that engineers and stakeholders can challenge it on the merits
- Turn messy business operations domains into data models, specs, and product surfaces precise enough for engineers to ship against without a second round of discovery
- Drive technical tradeoffs with engineers and ship end to end, from problem definition through launch and iteration
- Run the stakeholder loop with business operations: understand their domain firsthand, validate what you build against their real workflows, and cut what doesn't earn its keep
- Define and track the metrics that show each product is delivering real leverage, not just shipping
What We're Looking ForThe 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 have 3+ years of technical product management, ideally on data, platform, or ontology products
- You've shipped products end to end with measurable impact, and you can walk through the scoping decisions and the numbers
- You can reason about system design and hold your own with engineers on technical tradeoffs
- You write crisp specs and clear prioritization rationale, and your writing does the persuading before the meeting starts
- You're comfortable in ambiguity: given an unstructured operational domain, you define the structure rather than wait for it
- You prioritize well under constraint, and you can say no to stakeholders with a reason they respect
- Bonus: exposure to business operations, finance, or corporate workflow systems, or experience building LLM-powered applications
We are committed to pay equity and transparency.
