Senior Product Manager

Identify high-friction operational and support scenarios across capacity, incidents, troubleshooting, regional readiness, and service modernization, and translate them into scalable platform investments and AI-enabled experiences. Drive the application of AI and agentic automation to engineering operations, including intelligent triage, dependency and risk analysis, guided workflows, recommendation systems, and automation of repeatable support tasks. Define platform capabilities and experiences that make large-scale service modernization more automated, observable, and self-service, using efforts such as .NET Core migration and re-platforming to a container-based solution as priority scenarios. Partner with capacity, fleet, finance, and engineering teams to identify ways we can manage our budget and increase efficiencies. Improve service quality and supportability by using incident, telemetry, customer feedback, and operational data to identify recurring failure patterns, prioritize platform fixes, and create more effective self-service and automated support experiences. Define intuitive customer and operator experiences for management plane capabilities, working backwards from the needs of engineers, service owners, operators, and support teams who rely on the platform to execute and troubleshoot critical operations. Define and measure outcomes for Substrate Management Plane including reduced engineering toil and support burden, faster and more predictable modernization and operational change, and lower operating cost. Bachelor's Degree AND 5+ years experience in product/service/program management or software development These requirements include but are not limited to the following specialized security screenings: Experience contributing to or delivering products, services, or platform capabilities for cloud services, distributed systems, developer platforms, workflow systems, infrastructure, or engineering operations. Experience working with engineering teams to translate customer, operator, or business needs into clear product requirements, priorities, and measurable outcomes. Experience using AI or agentic technologies, or demonstrated ability to identify and evaluate opportunities to apply these technologies to engineering workflows and operational scenarios. Experience owning a defined product or scenario area through discovery, requirements definition, delivery, adoption, measurement, and iteration. Experience coordinating cross-functional initiatives, managing dependencies, identifying risks, and driving decisions across engineering teams, partner teams and organizational boundaries. Ability to understand technical architectures and dependencies and collaborate effectively with engineers and architects on product requirements, tradeoffs, and delivery decisions. Experience using customer feedback, operational data, telemetry, or product metrics to identify problems, establish priorities, evaluate solutions, and measure results.