Senior Engineering Manager (AI Agents)

Join Asana as a Senior Engineering Manager (AI Agents) and lead the Agent Orchestration team. You'll be at the forefront of Agentic AI, building 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 and drive the technical direction for one of the most impactful applied AI challenges in the industry.

• Lead and grow the Agent Orchestration team, 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.
• Comfortable with ambiguity — you thrive in zero-to-one product environments and drive clarity from complexity
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making
• Demonstrated ability to attract, develop, and retain senior engineering talent
• Strong systems integration and platform-building experience, with a track record of connecting complex systems across diverse environments
• 8+ years of experience in software engineering, including 4+ years managing technical teams
• 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
• Proven ability to set technical direction and drive alignment across multiple teams on shared infrastructure and patterns
• 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
• Familiarity with agent capability patterns: skill acquisition systems, tool integration frameworks, and dynamic capability routing
• Applied AI experience in production environments, particularly moving beyond demos to reliable, impact-driven deployments
• Understanding of emerging protocols (e.g., MCP, A2A) for standardizing how agents interact with tools and each other
• Experience building deep integrations across enterprise platforms (Slack, Microsoft Teams, Salesforce, etc.)
• Track record of driving engineering velocity improvements and developer productivity tooling adoption (e.g., AI coding tools)
• 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