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

Amazon Amazon · Big Tech · Seattle, WA · Project/Program/Product Management--Technical

The Principal PMT will drive the vision, strategy, and execution of a Machine Learning platform and infrastructure for Prime Video, powering personalization, discovery, and customer/content intelligence at a global scale. This role owns the strategy and roadmap for foundational platforms across Data, ML, and Measurement, enabling teams to rapidly build, experiment, and productionize ML solutions. Key responsibilities include defining the multi-year vision for ML platform and infrastructure, developing data platform strategy, building end-to-end ML tooling, supporting large-scale model training and real-time inference, defining feature store strategy, owning the developer experience for ML builders, enhancing the measurement platform, influencing senior leadership, and driving adoption of platform capabilities.

What you'd actually do

  1. Define and drive the multi-year vision and roadmap for ML platform and infrastructure supporting personalization, discovery, content intelligence, and emerging GenAI experiences
  2. 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
  3. 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
  4. Support large-scale model training, real-time inference, and compute optimization across CPU and GPU to ensure models perform efficiently at production scale
  5. 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

Skills

Required

  • 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.

Nice to have

  • Experience in project management methodologies, business analysis, or process improvement
  • Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
  • Familiarity with recommendation systems is a bonus
  • Fluency in technology alternatives with ability to weigh pros and cons of different technical approaches

What the JD emphasized

  • ML platform and infrastructure
  • personalization
  • discovery
  • real-time inference
  • large-scale model training
  • feature store strategy
  • measurement platform

Other signals

  • ML platform and infrastructure
  • personalization and discovery
  • recommendation systems
  • real-time inference
  • large-scale distributed training
  • LLM infrastructure