Senior PMT - Personalization Data and ML Platform, Prime Video Personalization

Job :  |  Services LLC

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

In this role, you will own the roadmap for a core set of capabilities across our Data, ML, and Measurement platforms, enabling teams to rapidly build, experiment, and product ionize machine learning solutions.

Your mission is to enable ML builders to move from idea to production faster by removing bottlenecks across the ML lifecycle from data ingestion and feature engineering to model training, deployment, and experimentation so teams can iterate faster while providing robust measurement capabilities that shorten iteration cycles. You will own the connection between platform capabilities and end-customer experience improvements, defining how infrastructure investments enable Product teams to drive measurable gains in personalization quality, content discovery, and customer engagement metrics.

You will operate in highly complex domains including recommendation systems, real-time inference, large-scale distributed training, LLM infrastructure, and partner closely with engineering and science leaders to influence architecture, drive adoption, and deliver measurable business outcomes.

• Define and drive the roadmap for your area of the ML platform and infrastructure, articulating how platform decisions directly translate to customer-facing personalization outcomes across discovery, content intelligence, and emerging GenAI experiences
• Contribute to 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 product ionize 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
• Help 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
• Contribute to 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
• Partner with cross-functional stakeholders and leadership to align on priorities and trade-offs
• Drive adoption of platform capabilities across teams by ensuring solutions are intuitive, reliable, and measurably better than existing workflows

Prime Video is a first‑stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add‑on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+.

All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via…