Principal Product Manager

Microsoft is at the forefront of building intelligent agents that transform how mission-critical workloads operate. As a Principal Product Manager within Microsoft Azure, you will define and drive the strategy and execution for AI agents, collaborating with global teams to enhance quality engineering across specialized workloads like SAP.

Responsibilities:

• 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
• Establish success metrics and leverage data-driven insights to evaluate product performance and impact
• Prototype innovative solutions and evangelize them through internal forums and external industry events
• Collaborate with a global, cross-functional v-team to drive end-to-end product delivery
• Advance shift-left testing and validation initiatives, contributing to the advancement of the compute control plane and strengthening reliability across specialized enterprise workloads

Requirements:

• Bachelor's Degree AND 8+ years experience in product/service/project/program management or software development OR equivalent experience
• 1+ years experience in AI/ML technologies with a strong focus on customer empathy and solution impact
• 5+ years of experience with Microsoft Azure, enterprise computing environments, and cloud platforms including IaaS and SaaS
• 2+ years of working knowledge in SAP systems architecture, integration patterns, or other mission-critical enterprise workloads
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
• Bachelor's Degree AND 10+ years of experience in product/service/project/program management - OR software development - OR equivalent experience
• Experience designing, developing, optimizing, or architecting SAP systems or cloud-based enterprise applications, with a focus on performance, scalability, and integration
• Demonstrated success in fast-paced, data-driven environments, with strong stakeholder engagement and cross-functional collaboration