1:00 PM - 2:00 PM
Senior Product Manager Interview
Sarah Jenkins

Amazon
·3 days agoAmazon
·3 days agoLocation
onsite, Seattle, WA, United States
Salary
$180k – $243k/yr
Commitment
Full Time
Level
Lead / Manager
Ready to shape the trajectory of applied AI and build breakthrough solutions that redefine what's possible for customers?
We are seeking an experienced AI Product Manager - Technical to own the end-to-end lifecycle of large-scale AI products that transform how millions of customers experience Amazon. This role combines deep technical acumen with business strategy to drive products that don't just meet requirements, they redefine what's possible in customer service and experience at global scale.
The Data Intelligence team is a new function within Amazon Customer Service. a global, cross-functional organization of applied scientists, data scientists, economists, software engineers, data engineers, and technical product managers dedicated to advancing AI capabilities. We build data solutions and contextual intelligence using Generative AI, Machine Learning, Natural Language Processing, Ontology, Agentic AI, Multi-Agent Architectures, Reinforcement Learning, Knowledge Graphs, and Model Context Protocol. We move with urgency, build for the long term, and obsess over getting customer experience right, because our work succeeds only when it creates meaningful impact and improves outcomes for customers.
A typical day as an AI Product Manager, Technical, in the Data Intelligence team involves combining strategic vision with hands-on problem-solving across machine learning, generative AI, natural language processing, agentic AI, multi-agentic AI architectures, and advanced data science. You will own complex product initiatives, ensure alignment with customer needs and business objectives, and translate customer and business requirements into practical AI-driven solutions.
Working collaboratively with cross-functional teams including applied scientists, data engineers, software engineers, and business leaders, you will define product direction, evaluate technical approaches, and focus on customer impact, efficiency, and scalability.
Daily activities include reviewing customer feedback and performance data, identifying product opportunities and risks, and operating like a startup leader.
The Data Intelligence team is a new function within Amazon Customer Service, a global, cross-functional organization of applied scientists, data scientists, economists, software engineers, data engineers, and technical product managers dedicated to advancing AI capabilities and creating meaningful impact for customers.
We build data solutions and contextual intelligence using Generative AI, Machine Learning, Natural Language Processing, Ontology, Agentic AI, Multi-Agentic AI Architectures, Reinforcement Learning, Knowledge Graphs, and Model Context Protocol. We move with urgency, build for the long term, and prioritize getting customer experience right, because our work is only successful when it meaningfully improves outcomes for customers.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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.