Principal Product Manager - M365 Core Platform

Find and lead work focused on latency, efficiency, and platform, using AI-driven analysis of telemetry, experiments, and operational signals to catch issues early and fix them at the root. Use agents, automation, and AIOps to analyze data, coordinate work, and act on what you learn. Use AI prototyping to model tradeoffs, test scenarios, and stress-test platform investments before committing, paired with solid product and engineering judgment. Weigh tradeoffs and prioritize long-term platform investments with partners in other organizations. Work with engineering leaders, architects, and data scientists to improve platform capabilities and operations at hyperscale. Set success metrics, OKRs, and KPIs, and shape investment priorities with leadership. Explain complex technical tradeoffs to executives in a way that leads to decisions. Mentor other PMs and move the team toward better, AI-forward ways of working. Bachelor's Degree AND 8+ 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 12+ years experience in product/service/program management or software development OR equivalent experience. 4+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework). 6+ 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). 6+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product). Experience taking on ambiguous, high-stakes work and driving it from strategy through execution across organizations. Experience leading large-scale cloud platform, distributed systems, or AI-powered services work, with a strong grasp of distributed systems and hyperscale service delivery. A record of improving latency, performance, scalability, reliability, efficiency, or operational cost through product leadership. AI fluency, including using AI agents, automation, and prototyping to speed up analysis, decisions, and product work. Experience using telemetry, A/B flights and experiments, and operational data to guide platform strategy and investment decisions. Solid systems-level problem solving, with the ability to influence senior leaders and align stakeholders across organizations.