Principal PMT - Personalization ML Platform, Prime Video Personalization & Discovery

About the role

Prime Video is seeking a Principal Product Manager Technical to drive the vision, strategy, and execution of our Machine Learning platform and infrastructure, powering personalization, discovery, and customer and content intelligence at global scale.

Responsibilities

• Define and drive the multi-year vision and roadmap for ML platform and infrastructure, articulating how platform decisions directly translate to customer-facing personalization outcomes across discovery, content intelligence, and emerging GenAI experiences.

• Develop and own the data platform strategy, delivering clean, curated datasets that encode business logic and provide science teams with trusted, model-ready data foundations.

• Build end-to-end ML tooling and pipelines that enable ML builders to discover datasets, ideate modeling approaches, conduct research and experimentation, and seamlessly productionize models from prototype to production.

• Support large-scale model training, real-time inference, and compute optimization across CPU and GPU to ensure models perform efficiently at production scale.

• Define and evolve the feature store strategy, supporting both online and offline data serving while minimizing online/offline skew to ensure consistency between training and serving environments.

• Own the developer experience for ML builders by delivering self-service tools, reusable components, and standardized workflows that increase productivity, reduce operational overhead, and improve cost efficiency, scalability, and availability.

• Enhance the measurement platform to monitor model performance in production, track input and output metric alignment, and provide clear visibility into how platform capabilities contribute to customer-facing outcomes.

• Influence senior leadership and cross-functional stakeholders to align on platform strategy, investment priorities, and trade-offs.

• Drive adoption of platform capabilities across teams by ensuring solutions are intuitive, reliable, and measurably better than existing workflows.

Qualifications

• 7+ years of end to end product delivery experience

• 4+ years of technical product or program management experience

• Bachelor's degree

• Experience with feature delivery and tradeoffs of a product

• Experience owning/driving roadmap strategy and definition

• Experience leading engineering discussions around technology decisions and strategy related to a product

• 3+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience

• Deep understanding of MLOps, model training, evaluation metrics and data pipelines