The 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
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed