Notion Labs

1 month 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: 3 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: 4.5

Website LinkedIn Glassdoor

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Notion Labs

1 month 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: 3 hours agoStatus: Live

Job Summary

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: 4.5

Website LinkedIn Glassdoor