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 productionize 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.
Key job responsibilities
* 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 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
* 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
BASIC QUALIFICATIONS
- 2+ years of end to end product delivery experience
- 5+ years of technical product or program management experience
- Bachelor's degree
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience with feature delivery and tradeoffs of a product
- Experience owning/driving roadmap strategy and definition
- Experience managing technical products or online services
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
PREFERRED QUALIFICATIONS
- Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
- Experience in building and driving adoption of new tools
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, SUNNYVALE - 173,900.00 - 235,200.00 USD annually
USA, WA, SEATTLE - 151,200.00 - 204,600.00 USD annually
