Principal Software Engineering Manager

Microsoft Microsoft · Big Tech · Redmond, WA +1 · Software Engineering

Principal Software Engineering Manager to lead the end-to-end software development lifecycle for AI-infused applications and Agentic Solutions within Microsoft's Commercial Sales Experiences (CSX) team. The role focuses on building AI-first development practices and agentic workflows to enhance user experience and productivity, driving innovation and delivering scalable, secure solutions.

What you'd actually do

  1. Lead, inspire, and grow a diverse, inclusive, and high-performing engineering team, fostering an environment where individuals thrive and deliver their best work in an AI-driven world.
  2. Drive clarity, alignment, and execution across engineering teams and partner organizations by establishing a shared vision, clear priorities, and strong cross-functional collaboration.
  3. Define and communicate the technical and product strategy for the team, ensuring engineering investments align with customer needs, business outcomes, and long-term platform goals.
  4. Create accountability and operational excellence through well-defined goals, effective decision-making frameworks, and execution rhythms that enable predictable, high-quality delivery.
  5. Build a culture of ownership, innovation, inclusion, and continuous learning by setting high standards, providing regular feedback, and investing in team growth and development.

Skills

Required

  • Bachelor's Degree in Computer Science or related technical field
  • 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • leading AI-infused applications
  • leading Agentic Solutions

Nice to have

  • 8+ years of experience as a software engineer building commercial software and proven track record of successful software products & services.
  • 4+ years people management experience.
  • 4+ years of experience in cloud development principles and patterns, particularly loosely coupled architectures and micro-services, DevOps model.
  • Demonstrated ability to harness next-generation AI development tools like GitHub Copilot, Copilot CLI/SDK, Claude CLI, or equivalents to transform the SDLC by building agents, plugins, skills, and MCP servers that drive automation and engineering excellence at scale.
  • Demonstrated experience with Azure AI Foundry, Microsoft Copilot Studio, agentic AI architecture

What the JD emphasized

  • AI-Native Engineering
  • agentic workflows
  • AI-first development practices
  • agentic AI architecture

Other signals

  • AI-infused applications
  • Agentic Solutions
  • AI-Native Engineering
  • embedding AI-first development practices
  • agentic workflows