Multidisciplinary Manager, Industry Solutions Engineering (ise) / Tpm

Microsoft Microsoft · Big Tech · United States · Technical Program Management

This role leads a multidisciplinary engineering team focused on developing and delivering high-impact customer outcomes using AI-forward hypervelocity engineering. The team will apply responsible AI practices and integrate emerging AI capabilities into customer solutions, acting as a player-coach and enabling technical program managers.

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 AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
  • 1+ years people management experience.
  • 3+ years of experience managing cross-functional and/or cross-team projects.

Nice to have

  • Bachelor's Degree AND 15+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience.
  • 6+ years people management experience.
  • 10+ years of experience managing cross-functional and/or cross-team projects.
  • 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos).

What the JD emphasized

  • multidisciplinary engineering team
  • customer outcomes
  • customer solutions
  • responsible AI practices
  • emerging AI capabilities

Other signals

  • customer solutions
  • emerging AI capabilities
  • responsible AI practices