The Sr. Quality Engineering Manager (QEM) is responsible for ensuring that our products are designed for quality and continue to meet our customers’ high expectations during the life of the product. They will focus on product quality deliverables during our product launch and sustaining. The successful candidate will establish quality goals and monitor performance, investigate with the full suite of failure analysis tools, influencing root cause and subsequent closed loop corrective action. Leads quality lesson’s learned and institutes remedies to prevent re-occurrence of quality issues and possess a high sense of urgency when managing critical issues. Their responsibility will require knowledge across a broad scope of quality, from factory process controls to customer service complaint handling.

Key job responsibilities
Sr. Quality Engineering Manager will be responsible for identifying risks and working with the appropriate product development and sustaining engineering functions to ensure the critical and high risk items are resolved prior to shipping a product and moreover don’t make it into next generation product. In addition to the work done in the New Product Introduction (NPI) & Sustaining phases, the Sr. QEM will drive continuous improvement in all aspects of the job, be able to deal with ambiguity, and influence at all levels of the company.

• A day in the life
• Manage quality program deliverables end-to-end, host milestone review meetings, and ensure cross-functional alignment throughout NPI and Sustaining phases
• Communicate quality status, risks, and recommendations clearly to leadership, driving timely decisions to protect customer experience
• Influence cross-functional partners—including design, manufacturing, and supply chain—to prioritize and resolve quality issues that impact customers
• Train and manage supplier quality teams; build supplier capability to meet Amazon's quality standards
• Analyze field and factory data using AI-powered tools (e.g., anomaly detection, predictive quality monitoring) alongside JMP or Minitab to accelerate root cause identification
• Leverage AI assistants for report generation, data summarization, and trend analysis to improve team efficiency
• Drive closed-loop corrective actions and quality lesson-learned sessions to prevent issue recurrence
• Guide cross-functional teams in Design for Quality and advanced quality methodologies (FMEA, DOE, DMAIC)
• Up to 80% domestic and international travel required

About the team
The Quality Engineering & Management (QEM) team ensures excellence across Amazon's device lineup and services. They oversee quality for Echo devices, Fire TV products, Fire Tablets, and Kindle e-readers, alongside core services like Alexa Voice Service, Amazon Music, and Prime Video. The team work with cross functional teams based in manufacturing suppliers and engineers who conduct comprehensive testing, including SMT, FATP, hardware/software validation, performance evaluation, and user experience assessment. The QEM team maintains Amazon's high standards throughout the product lifecycle, ensuring optimal customer experience across all devices and services.

Basic Qualifications

• Bachelor's degree or above in engineering or equivalent
• 6+ years of quality assurance engineering experience
• 5+ years of practice experience with statistical tools; strong quality program management background
• Familiar with NPI cycles and Product Development Process for consumer electronics industry
• Good understanding of electronic assembly processes in consumer electronics
• Ability to deliver solutions to complex problems through in-depth data analysis and forensics using methodical approaches such as DMAIC
• • Solid understanding and demonstrated success with practical applications of Lean / Six Sigma tools such as FMEA, Design of Experiments, Measurement System Analysis, Analysis of Variance, Hypothesis Testing, Value Stream Mapping, Pareto Charts, GR&R, and Cpk
• Technical knowledge of conducting process audits and formulating plans to drive continual quality improvements within factory operations
• Familiarity with AI-assisted tools for quality applications, including practical use of LLM tools such as Anthropic Claude, ChatGPT, or Microsoft Copilot for data summarization, report generation, and problem-solving; experience in prompt optimization and AI skill training to improve team productivity; basic understanding of how AI concepts such as anomaly detection and predictive analytics apply to quality monitoring
• Excellent program management skills; ability to work with and influence others
• • Excellent written and oral communication skills in English and Mandarin
• • Able to travel within China, South Asia countries, and the United States

Preferred Qualifications

• Master's degree in electrical engineering, computer engineering, or equivalent
• Experience working with interdisciplinary teams to execute product design from concept to production
• Six Sigma Green/Black belt, ASQ CQE/M/A certifications are highly desired.
• Knowledge of technology principles and services including infrastructure, business applications, data management, security, application platforms, and consumer-facing technology

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