Senior Product Manager

Full Job Description

Drive end-to-end program execution: lead planning, coordination, and delivery for complex Azure Compute and infrastructure initiatives across multiple teams Shape product direction: define goals, priorities, and roadmaps informed by customer feedback, business needs, and data-driven insights Partner across engineering: collaborate with architecture, engineering, and operations teams to evaluate tradeoffs, resolve dependencies, and deliver high-quality solutions Apply AI and data-driven insights: leverage modern AI tools, telemetry, and analytics to improve decision-making, accelerate execution, and identify opportunities for customer and operational improvements Drive alignment and transparency: foster effective collaboration through clear goals, structured execution, proactive stakeholder engagement, and consistent progress tracking Engage customers and stakeholders: gather feedback, validate requirements, and help shape product investments that improve customer experiences and platform competitiveness. Communicate with clarity by creating executive-ready reviews, presentations, and written communications that translate complex technical topics into clear recommendations and actions Bachelor's Degree AND 5+ years experience in product/service/program management or software development Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience 2+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework) 4+ 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) 4+ years experience disrupting a market for a product, feature, or experience (e.g., driving disruption, taking the place of an established competing product) 4+ years managing cross-functional and/or cross-team projects 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos) Azure (Compute IaaS, host/virtualization, platform services) or equivalent cloud platforms The hardware-software boundary (e.g., silicon acceleration, hypervisor/host, drivers, platform services) End-to-end program ownership: strategy/OKRs (Objectives Key Results), planning, execution, launch, and operational excellence Data-driven decision making, leveraging frontier AI model capabilities to analyze, drive insights, inform decisions, and measure outcomes