Take on high-impact problems across the charter, including capacity planning, supply and demand balancing, fleet health, platform transitions, and decommissioning, and drive them to a result. Use AI-driven analysis of demand signals, telemetry, and operational data to forecast more accurately, catch capacity and reliability issues early, and fix them at the root. Use agents, automation, and AI Ops to analyze data, coordinate work, and act on what you learn. Model capacity and hardware tradeoffs with AI prototyping and scenario testing before committing investment, paired with solid product, engineering, and financial judgment. Weigh cost, performance, and reliability against each other, and prioritize multi-year capacity investments with partners across engineering, finance, and supply chain. Advance platform and hardware transition strategy, and help the fleet run more efficiently as workloads grow. Set success metrics, OKRs (Objectives and Key Results), and KPIs (key performance indicators), and shape investment priorities with leadership. Explain complex technical and financial tradeoffs to executives in a way that leads to decisions. Mentor other product managers 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 infrastructure, capacity planning, or distributed systems work, with grasp of hyperscale service delivery. AI fluency, including using AI agents, automation, and prototyping to speed up analysis, decisions, and product work. Experience using telemetry, demand signals, and operational data to guide platform and investment decisions. Systems-level problem solving and clear communication, with the ability to influence senior leaders and align stakeholders across organizations.
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