All interviews
Notion logo

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.

Step into this interview

Free · a live voice mock calibrated to this exact role

Practice this interview

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

View the original posting

Related interviews