Multidisciplinary Manager, Industry Solutions Engineering (ise) / Swe

Microsoft Microsoft · Big Tech · United States · Software Engineering

Manager for an Industry Solutions Engineering team focused on delivering customer outcomes using AI and cloud technologies. The role involves leading a multidisciplinary team, coaching engineers, and championing AI-forward practices to build customer solutions.

What you'd actually do

  1. Lead a multidisciplinary engineering team, owning a portfolio of work to maximize customer and Microsoft value through strong portfolio and delivery leadership.
  2. Provide clear coaching, career development, and performance support for engineers across software engineering, technical program management, and data science, fostering growth in a multidisciplinary environment.
  3. Serve as a player‑coach by taking on selected engagements, modeling engineering fundamentals, customer‑obsessed execution, and inclusive, cross‑discipline collaboration.
  4. Partner with leadership and discipline managers to ensure healthy team rhythms and strong operational excellence across engagements.
  5. Contribute to a culture of continuous learning by elevating engineering practices, sharing reusable patterns and accelerators, and strengthening our multidisciplinary operating model.

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

Nice to have

  • Master's Degree in Computer Science or related technical field
  • 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • 6+ years people management experience

What the JD emphasized

  • AI-forward hypervelocity engineering
  • responsible AI practices

Other signals

  • customer-facing solutions
  • leading engineering teams
  • AI-forward hypervelocity engineering