The opportunity
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 pipelines, ranking systems, and evaluation frameworks that determine…
What they're looking for
- + years of software engineering experience with 3+ years managing engineers,: including senior engineers, on infrastructure or ML systems teams. You've hired, coached, grown, and when necessary exited engineers and your former reports would work for you again.
- You have shipped and operated production search, retrieval, or ML-serving: systems at meaningful scale. You can speak concretely about systems you've run: the index architecture, the embedding models, the latency budgets, the incidents, and what you'd do differently.
- Deep working knowledge of the modern retrieval stack inverted indexes and: BM25, vector search and embedding models, hybrid retrieval, chunking strategies, re-ranking and strong opinions about when each is worth its cost. You should be able to argue both sides of "semantic search everywhere" and tell us where you actually land.
- You've built or heavily used evaluation systems for ML/AI quality: golden datasets, recall/precision metrics, LLM-as-judge, online experimentation. You believe unmeasured quality claims are noise.