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Engineering Manager, AI Search

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Monograph
Full Time position
Listed on 2025-12-31
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below

About Us

Notion helps you build beautiful tools for your life’s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.

In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.

About

The Role

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. As Notion scales—supporting over 100 million customers—search becomes even more critical. Search at Notion is critical infrastructure that powers not just the navigational user experience, but also serves as the foundation and memory for our AI capabilities.

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  we move scale to larger enterprises, the ability to effectively search across sprawling work spaces with hundreds or thousands of pages becomes crucial to making Notion's collaboration experience scale. This is a role for someone who is passionate about the craft of building great search experiences and understands that reliability and functional accuracy are just as important as cutting-edge features.

What You'll Achieve
  • You'll build and manage a diverse and inclusive team of 5-7 engineers working on search ranking, query understanding, and search UX. You'll create a healthy environment in your team that embodies Notion's values.

  • You'll recruit, coach, and develop engineers; you'll ensure engineers are regularly receiving feedback and are making progress on personal and professional goals. You don't shy away from performance conversations and recognize the relationship between objective feedback and career growth.

  • You'll collaborate closely with cross-functional peers to set the direction of your team, responding to user feedback to improve search quality and relevance across Notion's core product and AI connectors.

  • You'll facilitate planning—the prioritization, sequencing, and staffing of work—for your team, balancing immediate reliability needs with longer-term search quality improvements.

  • You'll keep the team accountable and ensure the team is consistently working on the most important things that deliver value to Notion users, whether that's meeting the growing complexity of user questions or building new ranking capabilities that help users find exactly what they need.

  • You'll be responsible for maintaining a high-quality bar for everything your team builds, with particular attention to search reliability, latency, and relevance metrics.

  • You'll be accountable for driving project execution, using data to make decisions about prioritization and impact. You have a real passion for experimentation and will help the team build the infrastructure and practices needed to measure and improve search quality systematically.

  • You'll work with the rest of the Engineering team to shape how Notion's engineering organization works—you'll help develop our technical practices, recruiting and onboarding strategy, planning and prioritization process, and more.

Skills You'll Need to Bring
  • You have 2+ years of experience managing engineering teams working on search, ranking, relevance, or related areas. You have a deep understanding of what it takes to build and maintain high-quality search experiences at scale—handling work spaces with millions of pages, thousands of users, and sub-3-second query times.

  • You have a sufficiently deep background in search quality, ranking algorithms, and experimentation methodologies to ask the right questions and think through tradeoffs, guiding team members to do…

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