Top Benefits
About the role
Who you are
- 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
- 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
- If you're interested in this role and don't meet every listed requirement, we still encourage you to apply
What the job involves
- 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
- 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
- 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
Benefits
- Benefits - From comprehensive health benefits including mental health programs and coaching to our in-house culinary program and supportive parental leave policies, our benefits are intentionally designed to ensure that you are energized, focused, and thriving
- Growth - We know that growth isn’t always linear, so we’ll support you in achieving your personal and professional goals. You’ll have the opportunity to take on big responsibilities that impact our success as a company and challenge you in new and fulfilling ways
- Development - We believe in providing everyone with coaching and mentorship. You’ll have access to Conscious Leadership training, success guides, free executive coaching, and our manager training and enablement program
Not the right fit? Search for Engineering Manager jobs in Vancouver
About Asana
Asana empowers organizations to work smarter. Asana is the only enterprise work management platform that connects company-wide goals, strategic initiatives, and the execution of work in one place. Asana has over 150,000 customers and millions of users in 200+ countries and territories. Customers like Amazon, Roche, and T-Mobile, rely on Asana to manage everything from goal setting and tracking to capacity planning, to product launches. For more information, visit www.asana.com.
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Top Benefits
About the role
Who you are
- 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
- 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
- If you're interested in this role and don't meet every listed requirement, we still encourage you to apply
What the job involves
- 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
- 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
- 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
Benefits
- Benefits - From comprehensive health benefits including mental health programs and coaching to our in-house culinary program and supportive parental leave policies, our benefits are intentionally designed to ensure that you are energized, focused, and thriving
- Growth - We know that growth isn’t always linear, so we’ll support you in achieving your personal and professional goals. You’ll have the opportunity to take on big responsibilities that impact our success as a company and challenge you in new and fulfilling ways
- Development - We believe in providing everyone with coaching and mentorship. You’ll have access to Conscious Leadership training, success guides, free executive coaching, and our manager training and enablement program
Not the right fit? Search for Engineering Manager jobs in Vancouver
About Asana
Asana empowers organizations to work smarter. Asana is the only enterprise work management platform that connects company-wide goals, strategic initiatives, and the execution of work in one place. Asana has over 150,000 customers and millions of users in 200+ countries and territories. Customers like Amazon, Roche, and T-Mobile, rely on Asana to manage everything from goal setting and tracking to capacity planning, to product launches. For more information, visit www.asana.com.