Product Manager III, Cross Border Team

Amazon is hiring a Product Manager III, Cross Border Team 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

Level rates this role Little AI ●○○○: aI is not part of the work.
Level classes it as a mid-level role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Do you want to give cross-border customers more products to choose from every time they shop? Amazon is entering a new phase of Selection Expansion, and we are looking for a Product Manager to define the strategy and build the capabilities that make it easier for selling partners to bring compliant selection to customers across borders. In this role, you will own the product vision and roadmap for Path to Compliance — tools and experiences that guide sellers through regulatory requirements so they can list products faster and with greater confidence. Your work will directly increase Glance View coverage and total buyable selection, giving customers more choices and helping sellers reach new markets. You will work backward from both customer and seller needs, partnering with engineering, design, legal, and operations teams to turn ambiguous problems into clear plans and measurable results. If you are curious, data-driven, and energized by building products that grow selection at scale, we want to hear from you.

Key job responsibilities
- Define and own the product vision, strategy, and roadmap for Path to Compliance capabilities, prioritizing investments that grow Glance View coverage and total buyable selection for cross-border customers.
- Partner with engineering, design, legal, and operations teams to translate complex compliance requirements into intuitive seller-facing experiences, balancing speed of delivery with long-term system health.
- Analyze seller adoption data, compliance metrics, and customer behavior to identify the highest-leverage opportunities, set success criteria, and inform trade-off decisions across the roadmap.
- Drive alignment with cross-functional stakeholders who have competing priorities, producing clear written documents (PR/FAQs, strategy papers) that build consensus and speed up decision-making.
- Own end-to-end launches, from defining acceptance criteria and participating in testing through monitoring operational health post-launch, and iterate quickly based on what you learn.

A day in the life
You will start many mornings reviewing selection and compliance metrics — tracking Glance View coverage trends and identifying gaps in buyable selection. From there, you might jump into a design review for a new seller onboarding flow, then shift to a working session with engineers to scope a technical approach for an upcoming sprint. Afternoons often include writing or reviewing product documents, syncing with legal and policy partners on evolving regulations, and connecting directly with selling partners to understand their pain points. You will balance deep analytical work with collaborative problem-solving across multiple teams.

About the team
Our team is focused on expanding the selection available to Amazon's Cross Border customers, a key growth lever for Amazon's Emerging Stores. We build the tools and systems that help selling partners navigate compliance requirements so they can bring the right products to customers worldwide. This is a collaborative group where product managers, engineers, and designers work closely together, and where you will have the opportunity to expand your generative AI skills and deepen your expertise in cross-border commerce. We are investing in foundational capabilities that will shape how selection scales globally for years to come.

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

Preferred qualifications

- Experience in influencing senior leadership through data driven insights
- Experience working across functional teams and senior stakeholders

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

Product Manager III, Cross Border Team at Amazon rates 22 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● 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.