SPB Product Quality Manager, Amazon Private Brand

The Amazon Softline Private Brands Product Quality team is seeking a smart, hardworking, and creative individual to join us as a Subject Matter Expert (SME) Quality Manager based in the Shenzhen office. The successful candidate will demonstrate excellent judgment in decision-making while proactively expanding their knowledge of Amazon's business, platform, and relevant technologies.

This role supports Amazon's worldwide quality program for Softline categories. You will ensure all new products meet APB quality standards prior to launch and drive them to become customer-loved products within the first 12 months post-launch through customer feedback analysis, quality gap identification, and rapid corrective actions. You will also own garment care instruction management, engineering change control, the Andon Cord process, and end-to-end product quality for non-apparel categories.

We are looking for a talented SME Quality Manager with direct experience in softline product manufacturing and qualification, standards, product testing, and quality improvement strategies to support our rapidly growing and evolving business. Key job responsibilities Ensure products continuously comply with Amazon's quality, performance, and reliability standards, as well as industry safety and regulatory requirements worldwide. This includes owning product testing protocols, care code instructions (both on-label and online), engineering change control, the Andon Cord process, and end-to-end product quality for non-apparel categories. Drive product excellence and customer love through data-driven approaches — identifying quality trends, predicting potential issues, and implementing preventive measures across supplier networks. Leverage AI-powered analytics to deliver actionable recommendations that accelerate quality improvement and elevate the customer experience. Design and operate scalable quality management programs with best-in-class processes and systems that drive continual improvement across business models. Translate complex technical, quality, and process requirements into clear, compelling insights for non-technical stakeholders through data visualization and storytelling.