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Engineering Manager, AI Search

Notion

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Location:
United States , San Francisco

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Contract Type:
Not provided

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Salary:

280000.00 - 330000.00 USD / Year

Job Description:

As the Engineering Manager for our Search Quality & Ranking team, you'll lead a team of engineers to build and improve the search experience that millions of Notion users rely on every day. You'll guide the team's work on search ranking algorithms, query understanding, AI-powered connector search, and experimentation that help us continuously improve search quality at scale.

Job Responsibility:

  • Build and manage a diverse and inclusive team of engineers working on search ranking, query understanding, and search UX
  • Recruit, coach, and develop engineers
  • Collaborate closely with cross-functional peers to set the direction of your team
  • Facilitate planning—the prioritization, sequencing, and staffing of work—for your team
  • Keep the team accountable and ensure the team is consistently working on the most important things
  • Be responsible for maintaining a high-quality bar for everything your team builds
  • Be accountable for driving project execution, using data to make decisions about prioritization and impact
  • Work with the rest of the Engineering team to shape how Notion's engineering organization works

Requirements:

  • Experience managing engineering teams working on search, ranking, relevance, or related areas
  • Deep understanding of building and maintaining high-quality search experiences at scale
  • Sufficiently deep background in search quality, ranking algorithms, and experimentation methodologies
  • Understanding that search is mission-critical infrastructure
  • Excited about the evolving landscape of AI-powered search
  • Ability to create collaborative, empowering, supportive, and challenging team environments
  • Value empathetic and direct communication
  • High tolerance for ambiguity and change
  • Passionate about line management responsibilities and building a strong, cohesive team culture
  • Curious and willing to adopt AI tools

Nice to have:

  • Experience with AI connectors, enterprise search, or building search experiences across multiple data sources
  • Experience building retrieval-augmented generation (RAG) based features or integrating LLM-powered capabilities into search systems
  • Experience building or managing teams responsible for experimentation and A/B testing frameworks for search
  • Managed engineering teams at startups before, particularly during periods of rapid growth and organizational change
  • Experience rolling out engineering and management practices and processes
  • Familiarity with computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay
What we offer:

Highly competitive cash compensation, equity, and benefits

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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