Lead the platform team powering Notion's search, retrieval, and agent context infrastructure

Notion is hiring an Engineering Manager for the team that owns search infrastructure, indexing, and the context/memory primitives its AI agents depend on, serving 100M+ users at rapidly growing scale. This interview is a technically-leaning EM loop: expect deep questions on lexical/semantic retrieval architecture, platform product management for internal customer teams, and the judgment to trade off foundational investment against fast iteration.

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这场面试考什么

Search/retrieval architecture: lexical (BM25), semantic (embeddings/ANN), hybrid ranking
Platform product management for competing internal customer teams
Scaling systems an order of magnitude in data volume or query load
Reliability operations: SLOs, observability, incident/postmortem practice
Technically-leaning management: staying close to code and architecture decisions
Team building, coaching, and raising technical bar of senior ICs