Software Engineering Manager

Microsoft Microsoft · Big Tech · Vancouver, BC +1 · Software Engineering

Engineering Manager to lead a team focused on building and scaling an agentic engineering platform for AI-powered developer productivity across Microsoft. The role involves managing engineers, setting team direction, fostering experimentation, and partnering with other teams to advance AI in developer workflows.

What you'd actually do

  1. Lead, grow, and retain a team of talented software engineers working on AI-powered developer productivity tooling.
  2. Partner with technical leads and principal engineers to set team direction, prioritize work, and ensure alignment with broader ES365 and Microsoft goals.
  3. Drive clarity on team goals, project milestones, and success metrics — translating strategy into executable plans.
  4. Foster a culture of experimentation and resilience, where the team feels empowered to try novel AI approaches, learn from failures, and iterate quickly.
  5. Own the career development of your engineers — providing regular coaching, feedback, and growth opportunities.

Skills

Required

  • Proven experience managing software engineering teams, including hiring, performance management, and career development.
  • Solid software engineering background — able to engage deeply with technical decisions, review designs, and earn credibility with high-level engineers.
  • Track record of delivering software projects end-to-end: scoping, planning, shipping, and iterating.
  • Solid communication and collaboration skills, with the ability to operate effectively across engineering, product, and leadership stakeholders.
  • Comfortable leading in ambiguous, fast-moving problem spaces where best practices are still being established.

Nice to have

  • Personal experience using AI-powered developer tooling and coding assistants, such as: GitHub Copilot and Copilot Workspace, Claude Code, OpenAI Codex / ChatGPT, Cursor
  • Prior experience using agentic plugins, agents, skills, hooks, etc.
  • Hands-on experience (as an IC or manager) building systems that leverage Agent SDKs, large language models (LLMs), prompt engineering, or AI orchestration frameworks.
  • Familiarity with agentic AI development patterns — multi-step reasoning, tool/function calling, retrieval-augmented generation (RAG)

What the JD emphasized

  • agentic AI
  • agents
  • agentic engineering platform
  • AI-powered developer productivity
  • agentic systems
  • AI-powered developer productivity tooling
  • agentic AI development patterns
  • multi-step reasoning
  • tool/function calling
  • retrieval-augmented generation (RA

Other signals

  • leading a team that owns the agentic engineering platform
  • building an environment where engineers are empowered to push the frontier of what's possible with AI
  • dogfooding the very platform your team builds
  • AI-powered developer productivity at Microsoft scale
  • AI-assisted large-scale codebase refactoring, automated package integrations, deep architectural Q&A over codebases, and human-in-the-loop directed code changes