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Senior Engineering Manager, Agent Context

🕒 yesterday
Software EngineeringTeam ManagementSearch SystemsRetrieval Systems

📜 Description

  • We're looking for an Engineering Manager to lead the Agent Context team in NYC. This team owns how Asana's AI systems search, retrieve, and reason over the work graph the search infrastructure, dense embedding
  • This is a high-leverage platform role: nearly every AI product at Asana - AI Teammates, chat experiences, agentic workflows depends on the systems this team builds. You will manage a team of senior engineers in New York
  • Own the technical direction and delivery of Asana's retrieval stack end to end: lexical and semantic search, dense embedding generation and backfill at scale, chunking and ranking strategies, and RAG
  • Build and operate the evaluation infrastructure that makes retrieval quality measurable recall/precision benchmarks, offline and online evals, and comparative testing across retrieval backends - so quality decisions are
  • Drive the cost, performance, and quality tradeoffs that define this space: when semantic search earns its infrastructure cost over lexical, how to hit latency targets without sacrificing recall, and how retrieval
  • Set and enforce the bar for how other teams at Asana integrate with retrieval: clear ownership of embedding decisions, rollout guidance, metrics to watch, and a platform posture that says no to unjustified

🛠️ Requirements

  • In addition to base salary, your

Benefits

  • Mental health, wellness & fitness benefits
  • Inclusive family building benefits
  • Long-term savings or retirement plans
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