Engineering Manager, Context (Agentic Search)
Core
Lead the engineering team building context systems, search ranking algorithms, and agentic retrieval trajectories that power Notion's AI agents and user workflows.
Role type
Engineering Manager, Agentic Search & Context
Builds
Production-grade search product and agentic retrieval systems for 100M+ customers
Domain
AI/ML, Search & Retrieval, Agentic Workflows
Deliverable
production ML models | product features
Required skills
Leading engineering teams on search/retrieval/AI, building agentic or tool-using systems, product and systems judgment in ambiguous environments, cross-team coordination and stakeholder alignment, technical depth in modern retrieval (lexical, semantic, embeddings, reranking) and LLM orchestration, building high-expectation team cultures
Preferred skills
Multi-source retrieval and permissioned enterprise data, establishing evaluation frameworks for AI/agent outcomes, classic information retrieval metrics and machine learning techniques, leading teams through rapid scope changes
Technologies
embeddings, reranking, LLMs, query generation, tool orchestration, evidence selection
Responsibilities
Build and lead a high-performing team responsible for context, memories, and ranking; Drive a roadmap improving end-to-end reliability of agents acquiring context; Raise context quality through evaluation and experimentation; Balance foundational platform work with rapid iteration on agentic capabilities; Partner across AI, product, infra, and partner ecosystems
Seniority
Manager, hands-on leadership
