Principal Product Manager

Microsoft Microsoft · Big Tech · United States · Product Management

Principal Product Manager to define and drive the strategy, vision, and execution for AI agents that elevate quality engineering across specialized enterprise workloads like SAP, focusing on reliability, resilience, and security within Microsoft Azure.

What you'd actually do

  1. Define product strategy, vision, and specifications for AI agents focused on enhancing quality, including reliability, resiliency, and operational efficiency across specialized enterprise workloads such as SAP.
  2. Establish success metrics and leverage data-driven insights to evaluate product performance and impact.
  3. Prototype innovative solutions and evangelize them through internal forums and external industry events.
  4. Collaborate with a global, cross-functional v-team to drive end-to-end product delivery.
  5. Advance shift-left testing and validation initiatives, contributing to the advancement of the compute control plane and strengthening reliability across specialized enterprise workloads.

Skills

Required

  • Product/service/project/program management
  • Software development
  • AI/ML technologies
  • Customer empathy
  • Solution impact
  • Microsoft Azure
  • Enterprise computing environments
  • Cloud platforms (IaaS, SaaS)
  • SAP systems architecture
  • Integration patterns
  • Mission-critical enterprise workloads

Nice to have

  • Designing, developing, optimizing, or architecting SAP systems or cloud-based enterprise applications
  • Performance
  • Scalability
  • Integration
  • Fast-paced, data-driven environments
  • Stakeholder engagement
  • Cross-functional collaboration

What the JD emphasized

  • AI/ML technologies
  • customer empathy
  • solution impact
  • Microsoft Azure
  • enterprise computing environments
  • cloud platforms
  • IaaS
  • SaaS
  • SAP systems architecture
  • integration patterns
  • mission-critical enterprise workloads
  • performance
  • scalability
  • integration
  • data-driven environments
  • stakeholder engagement
  • cross-functional collaboration

Other signals

  • AI agents
  • enterprise workloads
  • quality engineering
  • SAP