Senior Engineering Manager, AI Agents
AsanaSan Francisco$264k – $300kPosted 6 April 2026
Job Description
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.
This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.
About Asana AI
Asana AI is the company's number one priority. We're building the future of human/AI collaboration — going beyond chatbots to integrate AI into everyday workflows for some of the biggest companies on the planet.
Asana's AI Teammates deliver a secure, multi-player, enterprise-grade agentic experience. They're transforming Asana from a place where work is tracked to a place where work gets done. Our AI teams move quickly, with a track record of successful launches, and we're just getting started.
About the team
AI Teammates Platform owns the execution engine and capability layer that powers Asana's AI agents — the core systems that determine how Teammates reason, execute, and improve over time.
The team's ownership spans model upgrades (evaluating, integrating, and rolling out new LLMs), proactive and autonomous agent behavior, platform and developer experience for Asana's broader engineering organization, and quality and evaluation infrastructure. Peer teams — Agent Orchestration and AI Chat — build on the platform, while the Teammates Experience team owns the user-facing layer.
We're a senior team, fast-moving, and working on some of the hardest applied AI problems in enterprise software.
This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.
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 execu ... (truncated, view full listing at source)
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