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.

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 for applied AI, large language models, and agentic systems is essential - you bring genuine enthusiasm and a commitment to building in this domain
• Strong systems integration and platform-building experience, with a track record of connecting complex systems across diverse environments
• Proven ability to set technical direction and drive alignment across multiple teams on shared infrastructure and patterns
• Demonstrated ability to attract, develop, and retain senior engineering talent
• Comfortable with ambiguity - you thrive in zero-to-one product environments and drive clarity from complexity
• Effective cross-functional collaborator who builds strong partnerships with Product, Design, Data Science, and peer engineering teams
• Deeply curious about AI and emerging technologies, actively leveraging them to elevate product experiences, sharpen decision-making, and move faster.
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

Strong candidates may also have

• Applied AI experience in production environments, particularly moving beyond demos to reliable, impact-driven deployments
• Familiarity with agent capability patterns: skill acquisition systems, tool integration frameworks, and dynamic capability routing
• Understanding of emerging protocols (e.g., MCP, A2A) for standardizing how agents interact with tools and each other
• Track record of driving engineering velocity improvements and developer productivity tooling adoption (e.g., AI coding tools)
• Experience building deep integrations across enterprise platforms (Slack, Microsoft Teams, Salesforce, etc.)
• Experience with production observability and evaluation frameworks for AI systems

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we'll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $238,000-$270,000 CAD. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.