AmazonSenior PM, DP Intelligence, Amazon Private Brands
Amazon is hiring a Senior PM, DP Intelligence, Amazon Private Brands 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
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include AI agents, product management and analytics.
- Level classifies it as a senior role.
- Level lists 21,000+ other open roles at Amazon.
AI in this role
Senior Product Manager owning intelligence, data infrastructure, experimentation, and AI agents for Amazon Private Brands detail pages.
This is a newly created role within a team that defines the quality standards, design systems, and quality mechanisms governing how millions of product pages look and perform for customers. Our production partners handle day-to-day content execution; this team focuses on what "good" looks like and how to measure, validate, and continuously improve it.
You will be the analytical and AI-native counterpart to the team's creative and standards leaders — translating their hypotheses into testable experiments, building the data infrastructure that powers quality decisions, and deploying AI agents that automate judgment currently done manually.
Key job responsibilities
**Defect-Free Detail Page Reporting & Root Cause Analysis**
A core part of this role is building and owning the reporting and analytics that drive defect-free Detail Pages at scale. You will define and operationalize the metrics that measure Detail Page quality — connecting content quality data, production execution data, and customer signals (conversion, return rates, bounce rates) into a unified performance view. You will run root cause analysis deep dives when quality issues are identified, tracing defects back to their source (content standards, production gaps, tooling limitations, or process breakdowns) and recommending systemic fixes rather than one-off patches. You will own the weekly business review for Detail Page quality, building automated data pipelines so the team operates from real-time signals rather than manual reporting. You will prepare data-driven narratives for monthly and quarterly business reviews, ensuring leadership has clear visibility on quality trends, root causes, and the impact of interventions.
**AI Agents & Automation**
You will own the development and deployment of AI-powered mechanisms across the Detail Page team. This includes building and deploying AI agents (e.g. a Detail Page Quality Agent) that automate quality judgment currently done manually, and owning the data and analytics layer — building dashboards, automated alerts, and reporting that the team currently lacks capacity for. You will partner with Science on scaling the team's quality assurance model and competitiveness metric development.
**Insights, Research & Experimentation**
You will build the testing muscle the team currently lacks — designing and running controlled experiments and weblabs to validate whether standards changes (imagery, layout, content format) actually move customer metrics. The standards owners define the hypothesis; you design the experiment, run the test, and deliver the result — which either enters the playbook for scale or gets reverted. You will build a repeatable experimentation pipeline and own the experimentation roadmap so standards evolution is data-validated, and surface insights that close the loop between what we think works and what customers tell us works.
About the team
The WW APB Detail Page team defines the quality bar for Detail Pages across all Amazon Private Brands. We own content standards, design systems, quality detection mechanisms, AI tooling strategy, and product variation strategy. We don't produce content — we define, measure, and continuously improve what "good" looks like, then hold our production partners accountable through data and mechanisms. Our mission is to deliver defect-free, competitive product pages at scale through AI-native operations.
Basic qualifications
- Bachelor's degree or equivalent
- 7+ years of product or program management, product marketing, business development or technology experience
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience as a product manager or owner
- Experience in using statistical analysis to identify issues or opportunities for improvement
- Experience working across functional teams and senior stakeholders
- Experience in influencing senior leadership through data driven insights
- Experience building and deploying data pipelines, dashboards, and automated reporting mechanisms
Preferred qualifications
- Experience in quantitative and qualitative research
- Experience in areas such as market research, statistics, finance or qualitative/quantitative research
- Experience in online or digital advertising
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 PM, DP Intelligence, Amazon Private Brands 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.
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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where analytics was part of your work. What did you do?
- Tell me about a project where experimentation was part of your work. What did you do?
- Tell me about a project where data infrastructure was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Product Management, Analytics, Experimentation, and Data Infrastructure. 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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