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Sr. AI Product Manager, Tech, Seller Compliance

Amazon is hiring a Sr. AI Product Manager, Tech, Seller Compliance in Shanghai, China. Level rates it ; you can apply on Amazon.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this AI product manager role: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include AI product, product management and artificial intelligence.
  • Level classifies it as a senior role.
  • Level lists 20,000+ other open roles at Amazon.

AI in this role

Lead AI product strategy and development for compliance solutions protecting customers and improving internal efficiency.

ai-productproduct-managementartificial-intelligencemachine-learningllmcompliance
We are seeking a highly skilled and technical Senior Product Manager (Tech), AI to lead AI initiatives in the Compliance domain. This senior role owns the vision, strategy, and roadmap for AI-powered solutions that protect customers while simplifying Compliance for Sellers and improving internal efficiency.

The ideal candidate has a strong technical background in AI/ML product development and a proven track record of driving global initiatives across complex organizations. You will identify high‑value business opportunities, translate them into clear product strategies, and orchestrate execution across data science, engineering, operations, business stakeholders, and external partners.

You are comfortable working at both strategic and hands-on levels: articulating long‑term product direction, defining technical requirements, and leading teams to deliver high‑quality launches in a fast‑paced environment. You excel at translating technical capabilities into business value, influencing without authority, and driving alignment with senior leadership. Fluency in both Chinese and English is essential, and experience in cross‑border e‑commerce is preferred. This role offers a unique opportunity to shape the future of global selling through innovative AI solutions in the dynamic

Key job responsibilities
Product Strategy & Development
- Own the product vision, strategy, and roadmap for AI products in compliance domains
- Identify and prioritize high‑impact opportunities
- Design and launch AI-powered solutions that reduce friction and improve Seller experience
- Drive measurable improvements in efficiency, automation, and decision quality
- Lead continuous product optimization using experimentation, data insights, and user feedback.

Technical Leadership
- Partner with data science and engineering teams to design, build, and scale AI/ML and LLM-based solutions.
- Define clear technical requirements, success metrics, and guardrails for AI-powered features and workflows.
- Oversee end‑to‑end execution cycles, ensuring on‑time delivery, reliability, and strong business outcomes.
- Champion data‑informed decision making across product initiatives, leveraging experimentation and A/B testing where appropriate.

Stakeholder Management
- Lead cross‑functional collaboration between central product/program teams, tech teams, operations, legal/compliance, and external partners.
- Communicate product strategy, roadmap, and impact clearly to senior leadership, including trade‑offs and decision rationale.
- Drive alignment and change management across CN and global teams, ensuring scalable adoption of AI solutions.
- Influence stakeholders at multiple levels to remove roadblocks and accelerate delivery.

Basic qualifications

- 7+ years of product or program management, product marketing, business development or technology experience
- Bachelor's degree
- Experience developing and executing/delivering product and technical roadmaps
- Experience with end-to-end ownership of major project deliverables
- Experience with Machine Learning and Large Language Model (LLM) fundamentals, and working with AI/ML teams.
- Demonstrated ability to communicate complex technical topics to both technical and non‑technical audiences, including executive stakeholders.

Preferred qualifications

- Experience influencing and driving decisions with senior leadership in large, complex organizations.
- Experience developing, launching, and managing AI products at scale in production environments.
- Experience working across global, cross‑functional teams and senior stakeholders.
- Master’s degree, MBA, or equivalent advanced degree.
- Experience in retail or e‑commerce, particularly in a global or cross‑border context.

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. AI Product Manager, Tech, Seller Compliance 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 ManagementArtificial IntelligenceMachine learningLLMCompliance

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 artificial intelligence was part of your work. What did you do?
  4. Tell me about a project where machine learning was part of your work. What did you do?
  5. Tell me about a project where llm was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Product, Product Management, Artificial Intelligence, Machine learning, and LLM. 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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