Sr. Product Marketing Manager, GenAI & Personalization, North America Stores Marketing Tech & AI Marketing
Company websiteamazon.com (Amazon, opens in new tab)
Base salary $142,800 to $193,200
Employer-published annual base salary, USD. Advertised base range in Seattle, WA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSeattle, WA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (5 h ago) · observed since
About this job
North America Stores Marketing helps customers discover and engage with new, popular and relevant products across categories. We do this by combining technology, science, innovation, merchandising and creativity to build new customer-facing features and experiences alongside advanced tools for marketers.
We are seeking a motivated, entrepreneurial, creative and curious Sr. Product Marketing Manager, GenAI & Personalization to join our team. In this role, you will be responsible for partnering closely with our Tech and Creative partners to manage the scaling of our agentic merchandising and personalization tools across global locales and Amazon business units. In addition to collaborating with Tech and Creative stakeholders, this role will also partner cross-functionally with other marketers to onboard new GenAI tools, conduct feedback loops between marketers and Tech and create experimentation requirements by defining key KPIs. This role blends the creativity of marketing with the exciting technological advancements of AI, positioning the role to be at the forefront of how AI will shape the future of how customers shop on Amazon.
Key job responsibilities
- Partner with Engineering, Product, and Science to co-develop roadmap for scaling our GenAI creative and merchandising tools.
- Influence our Tech partners on the development of new AI-powered tools to ensure customer-first approach is top of mind
- Author Business Requirement Documents that allow Tech to appropriately translate business needs into technical requirements.
- Own experimentation roadmap to test new AI-powered recommendation models and logic
- Run experiments and/or secure partnership with relevant marketers to conduct experiments.
- Develop formalized feedback loops to share marketer feedback with Tech and Creative stakeholders to improve AI capabilities
- Understand marketing tasks and best practices to share back with Tech partners to help guide tech roadmap and 3 Year Plan
A day in the life
The Tech and GenAI Marketing team partners directly with our Engineering, Science, Product, and Creative teams on co-developing roadmaps. A day in the life will include writing Business Requirement Documents, partnering with stakeholders across Amazon programs and global marketing teams to understand requirements for onboarding and adopting AI tools.
About the team
The North America Stores Marketing team is the broader organization that this role sits within and includes over 100 marketing experts. The org includes experts across marketing channels, programs, events, and developing AI systems in direct partnership with Technical leaders. The team has presence in Seattle, Los Angeles, and New York.
Basic Qualifications
- 6+ years of professional non-internship marketing experience
- Experience using data and metrics to drive improvements
- Experience communicating results to senior leadership
- Experience working with AI/ML or GenAI products, features, or teams in a marketing, product marketing, or product capacity
- Experience designing or supporting experimentation frameworks (e.g., A/B testing, holdout groups) and interpreting results in partnership with data science or ML teams
- Experience translating business or marketing requirements into technical specifications for engineering or science teams
- Experience owning or contributing to product roadmap strategy that shipped customer-facing features
Preferred Qualifications
- Experience using any of SQL or other analytical tools for conducting data analysis
- Experience with customer segmentation, profiling, and targeting
- Experience in a tech-embedded marketing role at a large-scale technology company
- Experience building a marketing function, program, or team from scratch (0-to-1 builder mentality)
- Familiarity with recommendation systems, personalization models, or GenAI-powered 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 - 142,800.00 - 193,200.00 USD annually
Source: Amazon · View original posting (opens in new tab)
Pay in context
This role's base floor ($142,800) is above 54% of the 91 Marketing roles in Washington listed on this site; 3 others list the same floor. Their median floor is $141,000; the middle half runs from $123,350 to $151,950.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.
This listingSr. Product Marketing Manager, GenAI & Personalization, North America Stores Marketing Tech & AI Marketing$142,800 to $193,200
Design Technologist II, Elevated Shopping Experience$145,000 to $196,100
Senior Industrial Designer$145,200 to $196,500
Data Center Area Operations Manager$145,400 to $254,500
MDD DCO Cluster Manager$145,400 to $254,500
Data Center Area Operations Manager, Data Center Operations$145,400 to $254,500
Data Center Operations Cluster Manager$145,400 to $254,500
Chart as a table
| Role | Published base |
|---|---|
| Sr. Product Marketing Manager, GenAI & Personalization, North America Stores Marketing Tech & AI Marketing (this listing) | $142,800 - $193,200 |
| Design Technologist II, Elevated Shopping Experience | $145,000 - $196,100 |
| Senior Industrial Designer | $145,200 - $196,500 |
| Data Center Area Operations Manager | $145,400 - $254,500 |
| MDD DCO Cluster Manager | $145,400 - $254,500 |
| Data Center Area Operations Manager, Data Center Operations | $145,400 - $254,500 |
| Data Center Operations Cluster Manager | $145,400 - $254,500 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-11-03
Where this pay comes from
Location as the employer wrote it: US, WA, Seattle
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.