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PMT - Amazon Learning Companion (ALC), Central Learning Solutions (CLS), Technology

Amazon - Bellevue, Washington, USA

Posted Apr 8, 2026

Benefits

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About this role

PMT - Amazon Learning Companion (ALC), Central Learning Solutions (CLS), Technology Bellevue, Washington, USA We are seeking a Principal Product Manager - Technical to define and deliver the vision, strategy, and technical roadmap for Amazon Learning Companion (ALC), Amazon's AI-powered Learning Intelligence Platform. This unified, intelligence-based ecosystem consolidates fragmented learning data, systems, and definitions into a single, governed source of truth that enables personalized, data-driven learning experiences at scale. In this highly visible role, you will own the end-to-end product strategy for a standardized impact-measurement framework, introduce self-service analytics, natural-language data access, and predictive insights that enable operators to make faster, higher-quality decisions at scale. You will collaborate closely with Data Engineering, Applied Science, Measurement Science, Software Development, and global Learning teams to define the platform architecture, data models, technical mechanisms, and integration patterns that support real-time intelligence and long-term scalability. You will influence Director and VP stakeholders using clear written narratives, measurable outcomes, and durable mechanisms. This role requires deep technical fluency, systems-level thinking, and the ability to operate in ambiguity while driving alignment across organizations within Central Learning Solutions (CLS). Key job responsibilities - Own the vision and product strategy for Amazon Learning Companion, unifying siloed systems, disparate data models, and inconsistent metrics into a cohesive, governed ecosystem - Define, align, and operationalize a standardized impact-measurement framework including core definitions, taxonomies, metrics, and validation mechanisms across global learning teams - Build a durable roadmap that sequences foundational data infrastructure, analytical UX, machine learning capabilities, and product scalability to

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