Core AI is at the forefront of Microsoft’s mission to redefine how software is built and experienced. We are responsible for building the foundational platforms, services, programming models, and developer experiences that power the next generation of applications using Generative AI. Our work enables developers and enterprises to harness the full potential of AI to create intelligent, adaptive, and transformative software. As a part of CoreAI, Developer Division (“DevDiv”) is chartered with empowering every developer and every development team on the planet to build great software faster. We build developer tools and services to enable anyone from citizen developers to seasoned professional developers to be successful in realizing their software’s potential from local to cloud development. App Service is a platform-as-a-service (PaaS) offering and one of the top services in Azure all-up (with most paying customers of any Azure compute service). The service powers Web Apps, Mobile Apps, API Apps, Logic Apps and Functions, a hot offering for the serverless world. App Service is seeking a passionate, driven, and collaborative Principal Technical Program Manager to drive the Secure Future Initiative (SFI) and Quality Excellence Initiative (QEI) across Serverless PaaS. In this role, you will engage with SFI and QEI requirements owners to understand, negotiate, and influence requirements before they reach engineering. You will partner closely with engineering leads and managers to deliver solutions that strengthen our security posture and elevate service resiliency and quality. Additionally, you will coordinate with engineers across the organization to monitor progress, resolve blockers, and provide status updates to the leadership team. Our team is small, efficient, and engineering-focused, thriving in a fast-paced environment. We are looking for a Principal TPM who embraces new challenges and adapts quickly to evolving programs. To support multiple initiatives simultaneously, you will leverage AI to boost productivity and continuously seek opportunities to enhance engineering efficiency through agentic AI-based solutions.
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Job Type
Full-time
Career Level
Mid Level