Notion

Engineering Manager, AI Search

Notion4 months ago
Location

San Francisco, California

Type

Full Time

Salary

USD 280,000 – 330,000

Level

Manager

Role

Engineering Manager

Posted

Oct 23, 2025

Full TimeManager

The role

Summary

Notion is seeking an experienced Engineering Manager to lead the Search Quality & Ranking team, responsible for developing and improving search infrastructure that supports millions of users and powers the company's AI capabilities. The ideal candidate will manage a team focused on search ranking algorithms, query understanding, and search experimentation to enhance search quality at scale.

What you'll do

Team Management: Build and manage a diverse, inclusive engineering team focused on search quality and ranking
Performance Development: Recruit, coach, and develop engineers, providing regular feedback and supporting career growth
Strategic Planning: Facilitate team planning, prioritization, and work sequencing to deliver maximum user value
Cross-functional Collaboration: Work closely with cross-functional peers to improve search quality and relevance
Technical Leadership: Maintain high-quality standards for search reliability, latency, and relevance metrics
Organizational Development: Contribute to shaping Notion's engineering practices, recruiting, and organizational processes

What we look for

Technical

Search TechnologiesExpertise in search ranking algorithms, query understanding, and search infrastructure
AI TechnologiesUnderstanding of modern embedding models, hybrid search architectures, and LLM integration

Education

Advanced DegreeBachelor's or Master's degree in Computer Science, Software Engineering, or related technical field preferred

Experience

Management ExperienceProven track record of managing engineering teams in search, ranking, or related domains
Search ScaleExperience handling large-scale search systems with millions of pages and thousands of users

Skills

Required skills

Search Quality ManagementExperience managing engineering teams working on search, ranking, and relevance
Team LeadershipAbility to build, coach, and develop high-performing engineering teams
Search InfrastructureDeep understanding of building and maintaining high-quality search experiences at scale
Experimentation MethodologyExpertise in search experimentation and data-driven decision making

Nice to have

AI Search ExperienceBackground in AI-powered search, embedding models, and hybrid search architectures
Enterprise SearchExperience with multi-source search and AI connectors
Startup ExperienceManagement experience in rapidly growing technology companies

Compensation & benefits

Salary

USD 280,000 – 330,000 (annual)

Stock options

Available

Benefits

Competitive Compensation

Highly competitive base salary with potential equity

Professional Development

Opportunities for continuous learning and career growth

Diverse and Inclusive Culture

Commitment to building a supportive, collaborative work environment

Innovative Work

Chance to work on cutting-edge AI and search technologies


Interview process

  1. 1
    Initial Screening Phone or video call with recruiting team to assess background and fit
  2. 2
    Technical Interview In-depth discussion of search engineering expertise and management experience
  3. 3
    Team Fit Interview Meeting with potential team members to evaluate collaboration and leadership style
  4. 4
    Executive Interview Discussion with senior leadership about strategic vision and team management approach

Apply for this position

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