
Notion
Senior
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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What this interview tests
- 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
Common question themes
Balance foundational platform investment against a customer team's fast-iteration ask
Design or evolve a hybrid lexical+semantic retrieval system at scale
Set SLOs and an incident response practice for a production search platform
Navigate two internal customer teams (product vs AI) wanting different things
Make a call to say no to a customer team and defend the tradeoff
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