AI Context Operations Lead

Own Mercury’s internal knowledge infrastructure by building a trusted context layer that captures what teams own, are building, and know. Define the information architecture, taxonomy, governance, schemas, and validation workflows that keep data accurate and current across systems like Linear and internal platforms. Drive leadership reporting, roadmap views, planning dashboards, and operating-cadence analytics, while partnering cross-functionally to replace fragmented documentation and support AI agents with a reliable source of truth.