Principal AI Product Manager, Minecraft

Microsoft Microsoft · Big Tech · Redmond, WA +1 · Product Management

Principal AI Product Manager for Minecraft, focusing on driving the adoption and integration of AI technologies within the studio for internal tooling, operational efficiency, and creator innovation. This role requires a blend of technical understanding, product management expertise, and strong stakeholder leadership to translate AI capabilities into practical, trusted solutions.

What you'd actually do

  1. Lead product execution for AI innovation initiatives across Mojang Studios.
  2. Own executive-level communication for AI projects, incubation work, opportunities, risks, and progress.
  3. Partner closely with GitHub, GitHub Copilot, Microsoft AI teams, engineering, product, and studio stakeholders to bring relevant AI capabilities into Mojang workflows.
  4. Drive stakeholder alignment across technical and non-technical teams, ensuring AI initiatives are clearly framed, responsibly scoped, and connected to measurable studio outcomes.
  5. Help define, prioritize, and deliver internal AI tooling that improves studio efficiency, creativity, and operational effectiveness.

Skills

Required

  • Product management
  • AI product experience
  • Stakeholder management
  • Executive communication
  • Change management
  • Technical understanding of AI tools, models, and systems

Nice to have

  • Prior engineering experience
  • Experience in innovation or incubation spaces
  • Experience with AI-assisted development workflows

What the JD emphasized

  • technical depth
  • hands-on AI product experience
  • executive communication
  • stakeholder leadership
  • proven technical background
  • Deep understanding of AI tools, models, systems, and current state-of-the-art capabilities
  • Hands-on experience building, launching, or scaling AI-powered products or internal tools
  • proven track record of stakeholder management
  • Executive level communication skills
  • Experience driving change management
  • track record of education and enablement
  • Transparent communication, high-trust collaboration, and high-autonomy ownership

Other signals

  • driving adoption of emerging AI technologies
  • translate AI capabilities into practical solutions
  • improve studio operations and creator-led innovation
  • define, prioritize, and deliver internal AI tooling
  • lead change management efforts