Senior Product Manager, Technical, Shopping Personalization AI

About the team
Our team is part of Amazon’s Personalization organization, a high-performing group that leverages Amazon’s expertise in GenAI, machine learning, big data, and distributed systems to deliver the best shopping experiences for our customers.

Our vision is to enhance the customer shopping experience on Amazon by leveraging personalization techniques. We strive to save customers valuable time by tailoring their shopping journey to their individual needs, interests, and preferences. We identify personalization opportunities to develop and optimize customer experiences, thereby improving the overall discovery and shopping process across Amazon.

About the role
Want to be at the forefront of creating personalized shopping experiences, and shape the future of how millions of Amazon customers worldwide discover and engage with our vast product selection? We would love to talk to you!

We are seeking an industry-leading Senior Product Manager Technical, to own the vision, development, launch and continuous improvement of AI-powered features personalizing Amazon's shopping experiences, making it feel tailored to each customer's needs and preferences.
As a Senior Product Manager, you'll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. Our Senior Product Managers have the freedom (and encouragement) to experiment with new possibilities, improve, invent, and innovate on behalf of our customers.
The right person has high levels of customer obsession, strong technical judgement, demonstrated ability to build scalable processes and products, and is an independent operator, skilled at working cross-functionally to deliver on behalf of customers.

Key job responsibilities
- Lead the vision, definition, and delivery of personalized shopping experiences that drive customer engagement, loyalty, and revenue growth.
- Partner with engineering and science teams to define the technical roadmap - making informed tradeoffs between model complexity, system constraints, and customer impact.
- Design and run experiments at scale to validate hypotheses, measure incremental value, and iterate rapidly based on data.
- Work backwards from customers - using behavioral signals, feedback loops, and quantitative analysis to continuously refine what we build.
- Monitor KPIs and conduct rigorous analysis to measure impact, identify opportunities, and drive continuous optimization.
- Influence product strategy across the broader Personalization portfolio, communicating effectively with senior leadership and cross-functional stakeholders.