About the job
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 supporting personalization, 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 ensure models deliver intended business 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
Minimum
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.
Preferred
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