Engineering Manager, Search & Context Platform

Notion Labs
San Francisco
Workplace: HybridFull timeFunction: Administration & Executive AssistanceExperience: 4+ yearsSkills: ["Leadership","Communication","Strategic thinking","Collaboration","Mentoring"]

Lead a high-impact platform team building search infrastructure (lexical and semantic), indexing pipelines, and context/memory primitives powering Notion’s agents. Set a roadmap balancing foundational platform investments with fast iteration, ensure high reliability with SLOs and observability, collaborate with Search & Context and AI teams, and hire/grow top engineers to sustain product velocity.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Notion Labs
Notion Labs
3 months ago

Engineering Manager, Search & Context Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Lead a high-impact platform team building search infrastructure (lexical and semantic), indexing pipelines, and context/memory primitives powering Notion’s agents. Set a roadmap balancing foundational platform investments with fast iteration, ensure high reliability with SLOs and observability, collaborate with Search & Context and AI teams, and hire/grow top engineers to sustain product velocity.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Manager level

Key Responsibilities

  • •Lead a high-performing platform team responsible for search infrastructure (lexical & semantic), indexing (including streaming & batch data pipelines), retrieval (lexical + semantic + hybrid), and the context/memory primitives that power Notion's agents.
  • •Set a clear roadmap that balances foundational platform investments with fast iteration on indexing new entities/features and building new context capabilities for agents.
  • •Operate the platform with a high reliability bar: SLOs, deep observability, on-call health, early-warning signals, and prevention-first incident/post-mortem practices and drive measurable improvements to search and context quality, performance, and reliability.
  • •Partner and build closely with the Search & Context product team, the AI team, and other consumers of the platform on the right interfaces, capabilities, and commitments.
  • •Build and lead the team through hiring, coaching, feedback, growth, and creating an environment where strong technical ICs do their best work.

Key Requirements

  • •4+ years of experience leading engineering teams with a track record of shipping high-quality systems in a fast-paced environment.
  • •A technically leaning management style—you stay close to the code and the design, can credibly debate architecture and tradeoffs with senior ICs, and raise the technical bar of your team.
  • •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, and the surrounding infrastructure.
  • •Experience product managing a platform or infrastructure scope: continuous evaluation technical architecture, SLAs, and a roadmap on behalf of internal customer teams, and making prioritization calls when those customers want different things.
  • •Strong systems judgment around scalability, performance, security, build vs buy and enterprise readiness—you've shipped systems that had to be fast, cheap, secure, and reliable at scale, not just functional.
Experience:4+ yearsAISaaS
Skills:LeadershipCommunicationStrategic thinkingCollaborationMentoring
Languages:English
Tech Stack:BM25EmbeddingsANNVector indexesData pipelinesSearch infrastructureScalabilitySecurityObservabilitySLOs

Company Brief

Notion Labs
Notion builds a customizable all-in-one workspace for notes, docs, databases, and collaboration, now adding AI-powered features and enterprise capabilities to serve teams and organizations worldwide.
Industry: Enterprise Software
Company Size: Large (251 to 1,000 employees)
Revenue: USD 500M to 1B
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2016
Glassdoor
Glassdoor: 4.5
WebsiteLinkedInGlassdoor