Senior Product Manager - Tech, Selection Monitoring

AI in this role

Lead product strategy and execution for agentic shopping and catalog enrichment leveraging generative AI and machine learning.

generative-ai

product-managementagileinformation-retrievalmachine-learning

Amazon’s Selection Monitoring team builds software to improve customer experience by : (1) Enabling Agentic Shopping experiences through World Product Catalog that contains all shoppable products sold anywhere in the world, (2) Growing number of customer relevant brands and products on Amazon, and (3) enriching product and brand information in Amazon catalog. We build state-of-the-art information retrieval infrastructure, extracting structured-data from unstructured-content, automatic item classification, storage systems to hold the massive catalog and distributed systems of cloud-scale. We apply parallel processing, Generative AI solutions, and machine learning algorithms to evaluate millions of products every day and to identify and prioritize new additions to Amazon’s selection efficiently. If you are customer obsessed, driven, tenacious and analytical, you will have fun solving our business problems of unprecedented scale. You will develop deep technical expertise and learn designing large scale distributed, service-oriented systems. Come join us in our journey to improve our customer experience at Amazon !

Our ideal candidate will have launched multiple, impactful consumer products, have demonstrated the ability to lead high-performance teams, and have deep understanding of product management, user experience, and software development processes (especially agile). You should be highly analytical, able to work effectively across teams, and thrive in entrepreneurial, fast-paced work environments.

Key job responsibilities
• Lead product strategy and vision supported by internal data and external analysis.
• Define creative, high quality, simple product requirements and roadmaps based on product strategy.
• Manage prioritization and trade-offs among customer experience, performance and operational support requirements.
• Create buy-in for the product vision both internally and with key partners
• Work closely with engineering teams to deliver products to market using agile development methodologies.
• Stay current and report on industry trends, including new opportunities, competitor capabilities, etc.
• Measure and analyze existing products and business models for opportunities to innovate and improve, providing additional benefits to developers and customers
• Proactively identify and resolve strategic issues that may impair the team’s ability to meet strategic, financial, and technical goals

About the team
Amazon carries the world’s largest catalog of products and in order to maintain this lead, we are constantly exploring and understanding the global e-commerce landscape. The mission of Selection Monitoring (SM) team is to collect all publicly available facts and generate insights about brands and products. SM is a global team with the charter to enable World Product Catalog (WPC) and surface these facts and insights to WW Amazon teams where we have an e-commerce business. SM’s primary objective is to improve Amazon selection and customer experience by discovering, validating, prioritizing off-Amazon brands and selection.

Basic qualifications

- Bachelor's degree
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- 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

- Experience in building and driving adoption of new tools

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.

How we rate this

Senior Product Manager - Tech, Selection Monitoring 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. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Product ManagementAgileInformation RetrievalMachine LearningGenerative AI

Questions you could be asked

Tell me about a project where product management was part of your work. What did you do?
Tell me about a project where agile 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?
Tell me about a project where machine learning was part of your work. What did you do?
Walk me through how you've used Generative AI in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Product Management, Agile, Information Retrieval, Machine Learning, and Generative AI. 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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