Multidisciplinary Manager (software Engineering) - Fde

Microsoft Microsoft · Big Tech · London, Netherlands +1 · Software Engineering

Manager for a multidisciplinary engineering team focused on co-engineering AI-powered, cloud-based solutions with customers to deliver measurable business outcomes. The role involves leading a team, coaching engineers, and championing AI-forward hypervelocity engineering with responsible AI practices.

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 or Master's OR Doctorate Degree in Computer Science, or related technical discipline AND significant years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
  • Relevant experience in engineering leadership and people management
  • Experience managing cross-functional and/or cross-team projects.
  • Experience or interest working with partners.

Nice to have

  • Comfortable with a travel requirement of approximately 25%

What the JD emphasized

  • AI-powered
  • production-ready solutions
  • responsible AI practices

Other signals

  • AI-powered solutions
  • customer co-engineering
  • production-ready solutions
  • responsible AI practices