Sr. Supplier Quality Manager, Amazon Private Brands

Amazon is hiring a Sr. Supplier Quality Manager, Amazon Private Brands in Shenzhen, China. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions Intelligent Agents, AI and AI agents 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

Manage supplier quality and scale e-commerce quality programs using AI and intelligent agents across global supply chains.

Intelligent AgentsAI

ai-agentsquality-assurancedata-analyticssupplier-managementprocess-optimizationautomation

Are you ready to redefine what quality means in e-commerce? This role goes beyond conventional quality assurance. As a Supplier Quality Manager within Amazon Private Brands, you will own the full quality value chain, from decoding customer experiences through review ratings and return analytics, to driving manufacturing excellence at supplier sites, to optimizing end-to-end internal processes that deliver the highest quality products. If you thrive at the intersection of data, technology, and cross-industry problem solving, this role offers a platform to lead, learn, and make global impact.

In this role, you will leverage AI and intelligent agents to scale quality programs across a diverse portfolio spanning multiple industries. You will work across the full spectrum of quality, from customer experience analytics to supplier manufacturing performance, bringing insights back to test, optimize, and design internal processes that drive meaningful improvements. This is a strategic, cross-functional leadership position where you connect customer intelligence, supplier performance, and engineering innovation to deliver measurable business outcomes at speed.

Key job responsibilities
• Analyze customer experience data (Customer Review Ratings, Returns, feedback signals) to identify quality trends, uncover root causes, and translate customer insights into actionable improvement strategies across a diverse product portfolio spanning hardlines and consumables
• Partner directly with suppliers / manufacturing sites to drive sustained quality and production efficiencies; implement preventive measures and build supplier capabilities that deliver consistent product excellence at scale
• Bridge customer and supplier insights to test and optimize internal end-to-end processes; drive systemic improvements that enhance quality outcomes across the entire value chain, from sourcing through delivery
• Engage global stakeholders across diverse functions; communicate data-driven recommendations and quality strategies that shape business decisions and drive cross-functional alignment
• Leverage AI and intelligent agents to design scalable quality solutions, automate monitoring and evaluation, and amplify your impact across a multi-industry product portfolio; pioneer next-generation quality methodologies tailored for e-commerce at scale

Basic qualifications

- Bachelor's degree in electrical engineering, material engineering, mechanical engineering or related fields
- Experience in auditing, risk management, compliance, program management, or quality management systems
- Experience with domestic or international travel coordination
- Experience collaborating with global and local stakeholders
- 7+ years of working experience in quality management, manufacturing, or related fields in consumer products, e-commerce, or related industries
- Fluent in Mandarin and English; excellent written and verbal communication skills
- Strong analytical mindset with ability to synthesize customer and operational data into strategic recommendations; creative problem-solving skills

Preferred qualifications

- Experience leveraging technology and implementing lean principles / Six Sigma methodologies to drive process improvements or equivalent
- Experience interpreting data and making business recommendations across leadership and cross-functional teams
- Experience or strong interest in leveraging AI/automation tools (e.g., AI agents, SQL, Python) to scale quality programs and drive operational efficiency
- Familiarity with e-commerce metrics (customer reviews, return rates, VOC data) and their application to quality strategy

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. Supplier Quality Manager, 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.

Classification

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.

Key facts

Sr. Supplier Quality Manager, Amazon Private Brands is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in CN, 44, Shenzhen.
The job was posted on August 12, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsQuality AssuranceData AnalyticsSupplier ManagementProcess OptimizationAutomationIntelligent AgentsAI

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 quality assurance was part of your work. What did you do?
Tell me about a project where data analytics was part of your work. What did you do?
Tell me about a project where supplier management was part of your work. What did you do?
Tell me about a project where process optimization was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI agents, Quality Assurance, Data Analytics, Supplier Management, and Process Optimization. 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.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get a free CV review Check your resume with the ATS resume checker