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Sr Product Manager (Tech), AI, WW Global Selling - PMO

Amazon is hiring a Sr Product Manager (Tech), AI, WW Global Selling - PMO in Shanghai, China. 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 AI product, product management and AI product strategy 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

Lead the end-to-end product lifecycle for high-impact AI products aimed at improving global sellers' experience and growth.

ai-productproduct-managementai-product-strategycross-functional-leadershipexperimentationa-b-testing
Amazon WW Global Selling is looking for a dynamic, highly motivated Sr AI Product Manager to join the central PMO team. This is an unique opportunity to build high impact AI products to continuously improve Sellers' experience, growth and profitability. The ideal candidate should be strong at understanding customer needs, identifying pain points, analyzing working models, deriving patterns, designing AI solutions, and managing roadmaps. He/she also needs to work across teams to launch AI products, manage product releases, engage user organizations, handle change management, establish stakeholder communication, and be responsible for the ultimate success of product launches against defined goals in a cross functional, fast-paced environment.


Key job responsibilities
1. Define AI product vision and strategy that drive global seller success
2. Own the end-to-end AI product lifecycle — from ideation through technical development and experimentation, to launch, adoption, and iterative improvement — ensuring alignment between business objectives, seller needs, and technological capabilities.
3. Develop and communicate product requirements, earn trust from cross-functional stakeholders (engineering, applied science, design, business operations) and external partners through clear documentation and aligned decision-making.
3. Lead cross-functional and cross-regional collaboration with scientists, engineering, and data teams to build, evaluate, and ship AI-powered products; drive development velocity by managing trade-offs, unblocking technical dependencies, resolving issues, and maintaining rigorous experimentation standards (A/B testing, model performance benchmarks).
4. Drive measurable business impact post-launch through continuous monitoring, data-driven iteration, and feedback loops; leverage market analysis and competitive intelligence to inform product positioning and roadmap evolution.
5. Manage stakeholder and leadership communications across multiple geographies — including problem framing, AI solution trade-off analysis, product/business reviews and etc. Partner with international stakeholders, leaders, and tech teams to align priorities and drive execution across regions.

About the team
We are WW Global Selling PMO team. We collaborate with WWGS business teams to identify key Seller needs and partner with global product teams to develop tools and solutions to improve Seller experience and sustainable growth.

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 using analytical tools, such as Tableau, Qlikview, QuickSight
- 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

Sr Product Manager (Tech), AI, WW Global Selling - PMO at Amazon rates 75 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

AI ProductProduct ManagementAI Product StrategyCross Functional LeadershipExperimentationA B Testing

Also common in AI product manager jobs at this level

Pay

Typical AI product manager job
$178k

This posting doesn't list pay. Use the typical AI product manager figure when pay comes up. See AI product manager jobs

Questions you could be asked

  1. How do you decide which parts of a product should use AI versus a fixed set of rules?
  2. Tell me about a project where product management was part of your work. What did you do?
  3. Tell me about a project where ai product strategy was part of your work. What did you do?
  4. Tell me about a project where cross functional leadership was part of your work. What did you do?
  5. Tell me about a project where experimentation was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Product, Product Management, AI Product Strategy, Cross Functional Leadership, and Experimentation. 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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