Principal Program Manager - Agentic AI
Roadmap Development: Define and drive the agentic AI roadmap for Azure Supportability to meet customer experience and efficiency objectives. Drive Clarity: Create, review, and gain alignment on requirements, specs, and other documents to drive clarity with engineering and business teams. Cross-Team Leadership: Partner with engineering, product, and support teams to align goals, OKRs, and delivery milestones for agentic AI initiatives. Stakeholder Communication: Own all stakeholder management including clearly communicating benefits, providing routine updates, and creating feedback loops so that we can iterate effectively. Derive Actionable Insights: Conduct research, interviews, and competitive analysis to stay ahead of the rapidly evolving AI landscape and identify customer needs, pain points, and opportunities. Quantify Impact: Measure and evaluate the performance, adoption, and feedback for AI efforts, and continually iterate based on data and insights. Technical Curiosity & Depth: Anticipate and deeply understand technical challenges, constraints and blockers faced and provide recommendations for solving these challenges in a methodical manner. Bachelor's Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience. Master's Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 8+ years experience in engineering, product/technical program management, data analysis, or product development OR Bachelor's Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 12+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience. 3+ years of experience in developing ML and/or AI based solutions Experience with building and owining agentic AI roadmap. Experience with with Azure, AWS, or Google Cloud.