Greenhouse ·
full-timeSenior Engineering Manager, AI Agents
Asana · Vancouver, BC
Asana is developing AI Teammates, autonomous agents that operate inside Asana and connected apps to triage bugs, draft briefs, conduct research and handle other knowledge‑work tasks. The Agent Orchestration team builds the integration layer that lets these agents access external systems such as Slack, Teams and other enterprise tools while maintaining security and compliance. In this role you will lead a senior group of six engineers, guiding the architecture of agent skills, dynamic skill acquisition and vertical use‑case implementations that make AI Teammates useful across diverse workflows. You will partner with product, design and data science to shape the roadmap, drive technical direction for the agent platform and contribute to org‑level engineering leadership within Asana’s AI organization. The position is based in Vancouver with a hybrid schedule requiring in‑office days on Monday, Tuesday and Thursday. Suitable candidates have experience managing high‑performing engineering teams, a background in systems integration or platform engineering, and familiarity with applying large‑language‑model capabilities to enterprise software.
Education
- Level: Bachelor's degree
- Courses: B.E
Key Skills
Experience required
8-8 years experienceWe'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 the team Attract, retain, and develop exceptional senior engineering talent Flex into org-level engineering leadership work across the broader Asana AI group, contributing beyond your direct team What makes this challenging You're leading the team building the connections that make AI agents genuinely useful across the enterprise — in one of the fastest-moving domains in technology. The AI landscape shifts weekly — new model capabilities, new integration patterns, new enterprise requirements. You'll need to set durable technical direction while staying adaptive. You're building systems that span multiple external platforms and protocols, handling complex stateful workloads and diverse API surfaces — all while meeting enterprise SLAs for reliability and compliance. And you're doing all of this while growing and retaining a team of senior engineers who have no shortage of options. About you 8+ years of experience in software engineering, including 4+ years managing technical teams Interest and passion
Skills for this role
Required skills
Also mentioned in the listing
| Role | Senior Engineering Manager, AI Agents |
|---|---|
| Company | Asana |
| Location | Vancouver, BC |
| Compensation | Not disclosed |
| Posted | 2026-09-15 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4About Asana
Asana is an operating system designed for human-agent teams to manage critical workflows. Founded in 2008, the platform utilizes the Asana Work Graph, a system that connects tasks, projects, goals, and dependencies to provide a shared context for both human users and AI agents. The software enables teams to collaborate within a shared space, utilizing shared memory to improve workflows over time while maintaining enterprise-grade governance, including audit trails and scoped permissions. Asana serves a wide range of organizations, including 85% of Fortune 100 companies, by providing tools for project management, compliance, portfolio monitoring, and cross-functional alignment. The platform is designed to help teams coordinate work, reduce time spent on status updates, and integrate AI agents directly into existing business processes.
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Office‑centric hybrid schedule with mandatory in‑office days Monday, Tuesday, Thursday