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Amazon

Senior Product Manager, NA Stores - Selection Strategy, North America Selection Strategy

Amazon is hiring a Senior Product Manager, NA Stores - Selection Strategy, North America Selection Strategy in Seattle, United States. It pays $136k-$184k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • On Level's scale, this AI product manager role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions product management, strategy and data analysis among its tools and skills.
  • Level classes it as a senior role.
  • Amazon has 20,000+ other open roles on Level.

AI in this role

Build and own AI-driven frameworks and agentic systems to prioritize product selection and close gaps for Amazon NA Stores.

product-managementstrategydata-analysisagentic-ai
NAS Selection is seeking a Senior Product Manager to build Selection of the Future — evolving how Amazon identifies, prioritizes, and closes selection gaps to ensure we focus on what matters most to customers. Our current selection strategy has driven meaningful coverage improvements — we track 85K+ important brands, 10M+ head selection items, and have identified $34.6B in selection gap opportunity. We are building capabilities to quantify gap value, prioritize must-have selection over marginal variants, and predict which emerging brands will drive lasting customer impact. This role will create the AI-powered frameworks that ensure Vendor Managers and 3P Account Managers focus their finite capacity on the selection gaps with the highest customer impact and long-term business value.

You will own the end-to-end vision and roadmap for selection gap prioritization, partnering business and tech teams to build an AI-driven system that enables flexible prioritization of selection gaps based on customer needs as well as business strategies.


Key job responsibilities
Key job responsibilities
Redefine How We Prioritize Selection: Move beyond item-level coverage metrics to build a prioritization framework that quantifies what matters most to customers. This includes sizing the revenue opportunity of selection gaps at both item and brand level, identifying emerging brands gaining traction on social platforms before they appear in traditional Amazon signals, and establishing criteria for "unregretted gaps" — high-effort, low-value opportunities like undifferentiated pack sizes and low-demand variants that don't warrant investment.

Apply Agentic AI to Accelerate Gap Closure: Leverage AI to transform how we identify and resolve selection gaps at scale. This includes accelerating brand gap identification, item-level defect diagnosis, and seller engagement opportunities. Integrate substitutability and purchase intent models to sharpen prioritization and surface insights that enable business teams to focus on gaps that matter most to customers — while automating resolution of non-strategic gaps.

Communicate Strategy Across All Levels: Translate technical complexity into clear, compelling narratives for audiences ranging from category teams to VP and SVP leadership. Author strategic documents that drive alignment across business and technical organizations, and represent selection strategy in business reviews and planning forums with executive presence and precision.


About the team
The NAS Selection Strategy team is the customer's advocate for selection on Amazon. We exist to answer a simple question: Does Amazon carry the brands and products they're looking for? We are responsible for assessing our current selection performance, identifying key selection gaps, and creating tools and processes to ensure leaders across Amazon understand and action selection opportunities. Our work spans branded selection and unbranded selection across 1P and 3P channels, directly influencing how millions of customers discover and purchase products on Amazon

Basic qualifications

- 5+ years of product or program management, product marketing, business development or technology experience
- Bachelor's degree or equivalent
- Experience owning/driving roadmap strategy and definition
- Experience with end to end product delivery
- Experience with feature delivery and tradeoffs of a product
- Experience as a product manager or owner
- Experience owning technology products
- Experience using SQL
- Experience delivering complex, data-driven recommendations to senior leaders
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities

Preferred qualifications

- Experience in influencing senior leadership through data driven insights
- Experience working across functional teams and senior stakeholders
- Master's degree or equivalent
- Experience working and communicating with multiple stakeholders, C-level executives and cross-functional teams
- Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
- Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.

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 - 136,000.00 - 184,100.00 USD annually

How we rate this

Senior Product Manager, NA Stores - Selection Strategy, North America Selection Strategy at Amazon rates 70 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.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Product ManagementStrategyData AnalysisAgentic AI

Also common in AI product manager jobs at this level

Pay

This job starts at
$136k
Typical AI product manager job
$178k

This posting starts 24% below the typical AI product manager job. See AI product manager jobs

Questions you could be asked

  1. Tell me about a project where product management was part of your work. What did you do?
  2. Tell me about a project where strategy was part of your work. What did you do?
  3. Tell me about a project where data analysis was part of your work. What did you do?
  4. Tell me about a project where agentic ai was part of your work. What did you do?
  5. Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

  • List these exact terms on your resume: Product Management, Strategy, Data Analysis, and Agentic 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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