Principal Program Manager - Agentic AI
About The Position
Join Microsoft Engineering Operations (EngOps), which drives operational excellence across Microsoft Cloud to strengthen quality, reliability, security, and customer trust. In this role, you will define and drive the agentic AI roadmap for Azure Supportability, advancing customer experience and efficiency objectives. You will work across engineering, product, and support teams to align goals and delivery, communicate with stakeholders, turn research and customer feedback into actionable insights, and measure the impact of AI initiatives. The role calls for technical curiosity and the ability to understand challenges and recommend solutions methodically.
Requirements
- Bachelor's degree in Computer Science, Engineering, Data Science, Math, Business, or a related field and 6+ years of experience in engineering, product/technical program management, data analysis, or product development, or equivalent experience.
- Ability to meet Microsoft, customer, and/or government security screening requirements, including passing the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.
Nice To Haves
- Master's degree in Computer Science, Engineering, Data Science, Math, Business, or a related field and 8+ years of relevant experience, or a bachelor's degree in one of these fields and 12+ years of relevant experience, or equivalent experience.
- 3+ years of experience developing ML and/or AI-based solutions.
- Experience building and owning an agentic AI roadmap.
- Experience with Azure, AWS, or Google Cloud.
Responsibilities
- Define and drive the agentic AI roadmap for Azure Supportability to meet customer experience and efficiency objectives.
- Create, review, and align requirements, specifications, and other documents with engineering and business teams.
- Partner with engineering, product, and support teams to align goals, OKRs, and delivery milestones for agentic AI initiatives.
- Manage stakeholders, communicate benefits and routine updates, and create feedback loops to support iteration.
- Conduct research, interviews, and competitive analysis to identify customer needs, pain points, and opportunities in the evolving AI landscape.
- Measure and evaluate AI performance, adoption, and feedback, and iterate based on data and insights.
- Anticipate and understand technical challenges, constraints, and blockers, and recommend methodical solutions.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
