Senior Engineering Manager, AI Agents

Asana•Vancouver, BC

4d•CA$238,000 - CA$270,000•Hybrid

About The Position

We are seeking an Engineering Manager to lead the Agent Orchestration team. This team is responsible for building the connections to other systems that enable Asana AI to handle high-value workloads. The role involves building integration capabilities, agent skills, and vertical use cases to make AI Teammates exceptionally useful across enterprise tools and workflows. The manager will lead a senior team of six engineers, focusing on the intersection of systems integration and emerging AI capabilities. This position offers a unique opportunity to be at the forefront of Agentic AI, working with model partners, shaping enterprise collaboration with AI agents, and driving technical direction for significant applied AI challenges. The role also includes contributing to org-level engineering leadership within the broader Asana AI group.

Requirements

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.

Nice To Haves

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

Responsibilities

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