Senior Product Manager - Tech, Amazon Selection Catalog Systems

Amazon is hiring a Senior Product Manager - Tech, Amazon Selection Catalog Systems in Seattle, United States. It pays $151k-$205k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this AI product manager role Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include Bedrock, SageMaker and AWS.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Lead product management for Generative AI and ML-driven catalog classification and policy enforcement systems at scale.

BedrockSageMakerAWSLLMs

ai-safetyproduct-managementgenerative-aimachine-learninginformation-retrievalbig-data

Are you ready to revolutionize how the world's largest retailer manages its vast product catalog? At Amazon's Classification & Policy Platform within Selection and Catalog Systems, we harness Cloud computing and Generative AI to monitor, classify, and execute policies on billions of items across our global catalog. We're at the forefront of ensuring Amazon's selection remains safe, compliant with global regulations, and delivers the best product discovery experience for millions of customers worldwide. Amazon's catalog—with billions of items—remains the best in the business. That's no accident! We use state-of-the-art Generative AI, machine learning techniques, and cloud computing technologies to keep it that way. A vast and high-quality product catalog is a key strategic asset that sets Amazon apart from competitors.

As a Product Manager Technical (PMT), you will own solutions to customer-facing product catalog challenges that influence critical business processes, product discovery, and agentic commerce experiences. Your work will directly impact how products are handled in distribution centers, how selection is managed across marketplaces, and how we maintain customer trust through intelligent classification. Our work is at the leading edge of Generative AI and agentic systems, leveraging Large Language Models (LLMs), machine learning/information retrieval algorithms, and big data analytics to run AI at scale using the best of what AWS has to offer.

This is a high-visibility role where you'll influence technical direction and partner with senior leadership to shape the future of Amazon's catalog management. Come help us make the world's best product catalog even better.

Key job responsibilities
* Drive Product Vision: Partner with Project Sponsors and cross functional teams to define business requirements, design, performance expectations, and goals with stakeholder teams
* Influence Technical Direction: Guide software development teams on architecture, design, and priorities while setting best practices for program execution across the organization
* Lead Cross-Functional Programs: Deliver complex programs spanning multiple engineering teams, applied science groups, and business stakeholders across global organizations. Responsible for the overall coordination, quality, and productivity.
* Provide Partner and cross functional Communication: Provide clear, concise communication to Director/VP-level stakeholders on program status, risks, and strategic recommendations
* Build Strategic Partnerships: Establish and maintain relationships across Amazon to leverage existing technologies, drive adoption of team initiatives, and influence organizational priorities
* Manage Trade-offs: Lead risk assessment, escalations, and strategic trade-offs between business needs, technical constraints, and resource limitations

Basic qualifications

- 5+ years of product or program management, product marketing, business development or technology experience
- Bachelor's degree
- Experience with feature delivery and tradeoffs of a product
- Experience owning/driving roadmap strategy and definition
- Experience with end to end product delivery
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- 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

- Master's degree
- Experience in building and driving adoption of new GenAI tools and platforms
- Deep understanding of Responsible AI principles including fairness, transparency, safety, privacy, and bias mitigation
- Program managed rollout and operations of large-scale commercial enterprise software systems or large-scale online services involving AI/ML
- Experience with AWS AI/ML services (SageMaker, Bedrock, etc.) and scaling ML operations
- Experience in e-commerce, catalog management, or compliance, legal, and policy teams

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.

USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually

How we rate this

Senior Product Manager - Tech, Amazon Selection Catalog Systems at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Product Manager - Tech, Amazon Selection Catalog Systems is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $151k-$205k a year.
The role is based in US, WA, Seattle.
The job was posted on August 3, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI SafetyProduct ManagementGenerative AIMachine learningInformation RetrievalBig DataBedrockSageMaker

Also common in AI product manager jobs at this level

AI agents SQL Azure RAG Python Google Cloud

Pay

This job starts at: $151k
Typical AI product manager job: $178k

This posting starts 15% below the typical AI product manager job. See AI product manager jobs

Questions you could be asked

How do you think about the risk of an AI system in this kind of role failing silently?
Tell me about a project where product management was part of your work. What did you do?
Tell me about a project where generative ai was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where information retrieval was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Safety, Product Management, Generative AI, Machine learning, and Information Retrieval. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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