Define the product vision, strategy, and multi-year roadmap for platform reliability, operational excellence, and end-to-end service health across the M365 AI platform. Establish goals and success measures for customer impact, platform performance, operational health, engineering effectiveness, and business outcomes, and use them to guide investment decisions and evaluate results. Partner with engineering teams to prioritize investments that improve reliability, scalability, efficiency, and customer experience. Lead complex, cross-organizational initiatives by creating clarity from ambiguity, aligning teams with competing priorities, influencing technical and product direction without direct authority, and driving decisions that reduce platform risk and technical debt. Use data to influence technical priorities and clearly communicate decisions, tradeoffs, risks, and outcomes to engineering and leadership stakeholders. Bachelor's Degree AND 10+ years experience in product/service/program management or software development These requirements include but are not limited to the following specialized security screenings: Bachelor's Degree AND 15+ years experience in product/service/program management or software development OR equivalent experience. 6+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework). 8+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn). 8+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product). Experience with cloud services, distributed systems, platform technologies, or large-scale online services. Experience driving operational excellence, service reliability, or platform health improvements. Experience working with AI-powered products, machine learning platforms, or modern cloud infrastructure. Technical background that enables effective partnership with engineering teams on architecture, operations, and platform investments. Demonstrated ability to drive complex initiatives across multiple teams and stakeholders.