Engineering Manager, Search & Context Platform

Stack

Responsibilities

• ▹Lead a technically deep team responsible for search infrastructure (lexical & semantic), indexing (streaming & batch pipelines), retrieval, and agent context/memory primitives
• ▹Set a clear roadmap balancing foundational platform investments (latency, cost, reliability, scalability, security) with fast iteration
• ▹Operate the platform with a high reliability bar: SLOs, deep observability, on-call health, prevention-first incident practices
• ▹Partner closely with the Search & Context product team and the AI team
• ▹Anticipate customer teams' needs, investing in capacity, capabilities, and primitives ahead of demand
• ▹Build and lead the team through hiring, coaching, feedback, and growth

Requirements

• ▹4+ years leading engineering teams with a track record of shipping high-quality systems in fast-paced environments
• ▹Technically leaning management style: stay close to code and design, credibly debate architecture with senior ICs
• ▹Sufficient depth in search, retrieval, or large-scale data/indexing systems: lexical search (e.g. BM25), semantic search (embeddings, ANN/vector indexes), big data pipelines, hybrid retrieval, ranking
• ▹Experience product managing a platform or infrastructure scope: architecture evaluation, SLAs, roadmap on behalf of internal customer teams
• ▹Strong systems judgment around scalability, performance, security, build vs buy, and enterprise readiness
• ▹Bias for making hard trade-offs to unblock product velocity
• ▹High tolerance for ambiguity and rapid change

Nice to have

• ▹Experience building agentic or tool-using systems, or platforms serving LLM-based products
• ▹Familiarity with permissioned, multi-tenant enterprise data (ACL-aware indexing, retrieval, audit)
• ▹Understanding of classic information retrieval metrics, ranking, or applied ML
• ▹Experience leading teams through rapid scope/priority changes and evolving org boundaries

Soft skills

What we offer

• ▹Competitive cash compensation and equity
• ▹In-office collaboration 3 days a week (San Francisco, anchor days)

About the company

Notion is the collaborative AI workspace where teams and agents think together — one place for knowledge, projects, meetings, and AI tools.