Engineering Manager, AI Agents
AsanaVancouver, BC$238k – $270kPosted 12 March 2026
Tech Stack
Job Description
We're building AI Teammates: agents that work like actual users in Asana and integrated apps. They triage bugs, respond to requests, draft project briefs, conduct research, and handle complex knowledge work across your team's workflows. Unlike chatbots, Teammates are shared team resources that build memory and context across all executions. They get smarter as you and your colleagues work with them. Currently in beta with Fortune 500 customers, AI Teammates represents Asana's shift from tracking work to getting work done.
We're looking for an Engineering Manager to lead the Agent Orchestration team — the team building the connections to other systems that allow Asana AI to serve the highest-value workloads. This means building the integration capabilities, agent skills, and vertical use cases that make AI Teammates extraordinarily useful across enterprise tools and workflows. You'll manage a senior team of six engineers (ICs up to L6) working at the intersection of systems integration and emerging AI capabilities to architect the foundation that lets AI agents operate seamlessly across customer environments while meeting enterprise requirements for reliability and compliance.
This is a rare opportunity to be at the forefront of Agentic AI. You'll work directly with model partners, lead the core team shaping how enterprises collaborate with AI agents across their entire tool ecosystem, and drive the technical direction for one of the most impactful applied AI challenges in the industry. You'll also flex into org-level engineering leadership across the broader Asana AI group, contributing beyond your direct team.
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.
Agent Orchestration is the team building the connective tissue between Asana's AI agents and the broader enterprise ecosystem. We're tackling hard problems: How do you build an agent skills system that lets Teammates acquire and use new capabilities dynamically? How do you create deep integrations across tools like Slack, Teams, and other enterprise platforms so agents can operate wherever work happens? How do you deliver vertical use cases that make AI Teammates extraordinarily useful for specific, high-value enterprise workflows — all while meeting security and compliance requirements at scale?
We're a senior team, fast-moving, and directly shaping Asana's AI platform strategy.
This role is based in our Vancouver 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 Agent Orchestration team (~6 senior engineers, ICs up to L6), setting technical direction for the systems that connect Asana's AI agents to the broader enterprise ecosystem
Drive the architecture and execution of agent skills, deep integrations, and vertical use cases that make AI Teammates the most capable agents in enterprise workflows
Partner with Product, Design, and Data Science to define and execute on roadmap priorities that directly support Asana's top company priority
Drive alignment across AI teams on shared infrastructure, APIs, and patterns for agent development and integration
Improve team delivery pace, champion engineering velocity, and drive AI coding adoption across t ... (truncated, view full listing at source)
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