New 
Principal Product Manager
 Microsoft | |
 United States, Texas, Irving | |
| 7000 State Highway 161 (Show on map) | |
 Oct 28, 2025 | |
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OverviewAre you passionate about shaping the future of enterprise AI and driving quality at scale? Our team is at the forefront of building intelligent agents that transform how mission-critical workloads like SAP operate making them more reliable, resilient, and secure. You'll join a dynamic, cross-functional group that thrives on innovation, data-driven decision-making, and solving complex systems challenges with cutting-edge AI.As a Principal Product Manager within Microsoft Azure, you will define and drive the strategy, vision, and execution for AI agents that elevate quality engineering across specialized workloads. You'll collaborate with global engineering and product teams, prototype solutions, and represent your work at major internal and external forums. This opportunity will allow you to accelerate your career growth, develop deep technical and business acumen, and lead innovation in AI-driven enterprise reliability.Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
ResponsibilitiesDefine 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. | |