Staff AI Operations Lead

Responsibilities

• You are a senior individual contributor. Your job is to take business workflows that are slow, manual, or inconsistent, and make them fast, automated, and measurably better — then do it again, and leave behind enough shared scaffolding that the third one is easier than the first.
• Ship automated workflows end to end
• Partner with department leaders to identify the highest-leverage workflows in their orgs, and go deep enough on how the work actually happens to know where a model helps and where it doesn't.
• Define success before you build: cycle time, quality, cost, risk. Instrument it. Report on it honestly, including when the answer is "this didn't work."
• Deliver working systems, not prototypes, with evaluation harnesses, human-in-the-loop review where the stakes call for it, and ongoing monitoring.
• Iterate on adoption the way a product manager would: user research, documentation, and a real plan for getting people to use the thing.
• Build the shared substrate as you go
• Establish patterns for model access, orchestration and agents, prompt and tool management, evaluation, logging, and cost control — derived from what real workflows needed, not designed in advance.
• Build on the Data team's existing infrastructure rather than standing up parallel systems.
• Co-own shared components with your counterpart in Engineering; identify dependencies early and bring them into partner roadmaps collaboratively.

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