Engineering Manager, Enterprise Services Management

Asana Asana · Enterprise · Vancouver, BC · Product Engineering

Asana is seeking an Engineering Manager to lead a team building a new business line focused on Enterprise Service Management, powered by AI agents. The role involves managing and coaching engineers, partnering with product and design, and defining the team's roadmap. The ideal candidate has experience shaping AI agentic workflows and enterprise SaaS products, and is comfortable with ambiguity and customer interaction.

What you'd actually do

  1. Manage and coach 6–8 engineers, fostering an inclusive culture and establishing team rituals that drive both excellence and professional growth.
  2. Partner with product, design, and UXR to translate customer pain points into a reliable, technical MVP and a scalable architectural roadmap.
  3. Collaborate with cross-functional partners managers to balance large-scale feature launches with iterative, daily product enhancements.
  4. Guide the articulation and execution of the team’s future roadmap and ensure the team’s work ties back into high-level business goals
  5. Spend significant time with customers to validate technical feasibility and co-develop workflows that solve real-world problems.

Skills

Required

  • 5+ years of relevant experience
  • 2+ years managing a technical team
  • demonstrated track record of growing engineers across levels
  • intelligence, empathy, and technical depth
  • built and scaled new products or incubations before
  • operating with urgency and resourcefulness
  • pushing through ambiguity without needing perfect structure
  • customer conversations
  • translates qualitative insights into crisp product decisions
  • Clear, persuasive communicator
  • bring structure to ambiguous spaces
  • align engineering, design, product, and exec stakeholders
  • Deeply curious about AI and emerging technologies
  • actively leveraging them to elevate product experiences, sharpen decision-making, and move faster

Nice to have

  • experience shaping AI agentic workflows
  • experience shaping IT/service automation tools
  • experience shaping adjacent enterprise SaaS products
  • Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

What the JD emphasized

  • AI agents
  • AI agentic workflows
  • enterprise SaaS products
  • ambiguity
  • builds quickly
  • learns from customers
  • customer pain points
  • operational pain

Other signals

  • AI agents
  • AI-native platform
  • AI agentic workflows