About the Role
AI Teammates are agents that work like actual team members in Asana — they triage bugs, respond to requests, draft project briefs, conduct research, and handle complex knowledge work across workflows. Unlike chatbots, Teammates are shared team resources that build memory and context across all executions, getting smarter as your team works with them. Currently live with Fortune 500 customers, AI Teammates represent Asana's shift from tracking work to getting work done.
We're looking for a Senior Engineering Manager to lead the AI Teammates Platform team — the core engineering team responsible for the execution engine and capability layer that powers AI Teammates. You'll manage a senior team of approximately eight engineers (ICs up to L6) building the systems that determine how AI Teammates reason, execute, and improve over time — from model integration and rollout, to proactive agent behavior, to the developer platform that enables other Asana teams to build on top of AI Teammates.
This is a rare opportunity to be at the forefront of Agentic AI. You'll work directly with model partners, lead the core team behind a new applied AI product introduction, and help define how AI agents collaborate with humans in a work management platform used by millions of teams worldwide.
What you’ll achieve
- Lead and grow the AI Teammates Platform team of ~8 senior engineers, setting technical direction and driving execution on core AI agent capabilities.
- Own the technical vision for the execution engine, including model integration, proactive agent behavior, and evaluation infrastructure.
- Drive the team’s model upgrade pipeline by evaluating new LLMs and balancing execution quality against latency and cost.
- Build and maintain the platform that enables other Asana engineering teams to build AI-powered features on top of AI Teammates.
- Partner with Product, Design, and Data Science to define and execute roadmap priorities that support Asana’s top company priority.
- Collaborate with peer teams like Agent Orchestration and AI Chat on shared infrastructure, APIs, and cross-team initiatives.
- Drive team delivery pace and improve engineering velocity while championing the adoption of AI coding tools.
- Attract, retain, and develop exceptional senior engineering talent in a highly competitive market.
About you
- 7+ years of experience in software engineering, including 4+ years managing technical teams.
- Applied AI experience is essential, including at least one year of hands-on experience building products on top of large language models.
- Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
- Strong technical foundation with the ability to guide architectural decisions in a fast-moving, ambiguous AI product space.
- Experience building and scaling platform teams that serve multiple product surfaces and internal engineering consumers.
- Comfortable with ambiguity and thriving in "zero-to-one" product environments to drive clarity from complexity.
- Effective cross-functional collaborator who builds strong partnerships across Engineering, Product, and Data Science.
- Track record of driving engineering velocity improvements and adopting developer productivity tooling.