Working at the intersection of large language models, distributed systems, and reliability engineering, you will operate in a fast-paced, highly technical, and highly ambiguous environment where agility, clarity, and bold thinking are essential. Own the multi-year product vision, strategy, and roadmap for building autonomous agentic loops across M365—where agents sense risk, reason over signals, and act to remediate—and shape an opinionated point of view on how agentic AIOps reshapes the future of service operations. Establish a cross-organizational discipline and operating model to systematically surface, quantify, and prioritize resiliency risks, backed by a clear taxonomy, scoring, and governance model that drives the highest-impact risks to closure with clear accountability. Collaborate with engineering, AI/ML, safety, and service teams to transform troubleshooting into governed, closed-loop recovery workflows, defining the guardrails, blast-radius controls, approval gates, and rollback mechanisms that make autonomous agentic mitigation safe, auditable, and trustworthy. Identify opportunities to expand autonomous agentic AIOps reach, establish the success metrics that matter—loop autonomy rate, time-to-mitigate, mitigation success rate, autonomous-action safety, and reduction in customer-impacting downtime—and use data-driven insights to prioritize investments and measure outcomes. 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 with M365 services, AKS (Azure Kubernetes Service) or comparable hyperscale services. Background in autonomous/self-healing systems, control planes, or safe-automation platforms. Familiarity with chaos engineering, failure-mode analysis, and blast-radius modeling.
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