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Key job responsibilities
• Ensure products continuously comply with Amazon's quality, performance, reliability, as well as industry safety and regulatory requirements worldwide
• Drive manufacturing excellence through data-driven approaches to identify quality trends, predict potential issues, and implement preventive measures across supplier networks
• Manage and coach strategic suppliers to improve quality management systems, manufacturing processes and customer satisfaction; utilize AI-powered analytics to provide data-driven recommendations for improvement
• Design and operate scalable quality management programs, develop best-in-class processes and systems, and drive continual improvement across different business models
• Communicate technical, quality, and process requirements effectively to non-technical stakeholders through data visualization and analytical insights
• Bachelor’s degree required with a scientific or engineering focus
• 4+ years of working experience in quality management, manufacturing, or related fields in consumer products or fashion industry
• Knowledge of quality management systems and standards (e.g. ISO 9001), with demonstrated understanding of manufacturing operations across diverse industries
• Fluent in Chinese and English; excellent written and verbal communication skills
• Think creatively and possess strong analytical and problem-solving skills
• Able to travel (national and international) often
• Experience with process improvement methodologies (e.g., Lean Six Sigma) and data-driven problem solving
• Basic proficiency or strong interest in analytical tools (SQL, Python, or AI tools) to drive business insights and operational efficiency
• Experience in communicating data-driven insights with cross-functional teams and leadership
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This position is for Echo Show Home team which owns the face of the device through home screen being one of the most monetized surface on EFD. Home coupled with Alexa+ agent (proactive and persistent content in ambient state) is the spring board for all of the interaction points from Echo Show devices.
As a software engineer in the Alexa Devices team, you will help drive innovation by developing features that present innovative speech-backed visuals on our Echo Show, Echo Spot, and similar screened Alexa devices.
Specifically, you will be responsible for developing and maintaining new systems, partnering with other Amazon and third-party services and device teams as required. You will ensure that Alexa almost never drops her end of the conversation, delivering services that respond with minimal latency at Amazon scale. You may work on device frameworks, web services, APIs, large scale data infrastructure, and more. If being at the forefront of new innovation for Alexa sounds exciting, we'd love to talk to you!
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience
- Experience programming with at least one software programming language
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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But at best, WiFi is like death by a thousand cuts: dead zones, painful setup, embarrassing passwords, equipment that’s a major eyesore. At worst, it's a complete failure -- usually right when you need WiFi most.
The Role:
What you'll do:
- Be the primary quality representative for supplier quality activities
- Perform First Article Inspections (FAI) to make sure samples comply with drawings and specifications prior to production start or after any changes
- Own implementation, validation and continuous monitoring of supplier’s IQC, IPQC and OQC to ensure proper process FMEA, quality control plans, SOPs, SIPs, operator/inspector training, equipment and documentation are implemented and followed
- Determine strategies for continuous improvement in supplier quality and supply chain metrics.
- Manage supplier's corrective actions system (investigation, documentation and implementation of corrective action and the verification of their effectiveness)
- Conduct supplier audits including new supplier selection and regular process/product audits to existing suppliers, and effectively drive findings closures by proposing and implementing necessary CAPA- Take lead process capability assessment, measurement system analysis, MSOP & correlation and SPC implementations at supplier site
- Initialize the review and approval for supplier PPAP
- Contribute to final product release activities in accordance with established procedures, production schedules and gate exit requirements
- Develop and prepare documentation, post reports, drive quality metrics and communication- Track issue and task progresses in JIRA and understand BOM components, layout and drawings with a PLM system (i.e. Arena, Agile, etc.)
- - BS/MS degree in Quality/Electrical/Mechanical Engineering
- - 5+ years of experience in mechanical parts (plastic injection molding/die-casting/stamping/machining), packaging, and AC power supplies.
- - 5+ years of experience in all levels of quality management and lean manufacturing in mechanical, electro-mechanical and electronic supplier manufacturing industries
- - Experience in managing outsourced manufacturing suppliers
- - Experience with industry standards (IEC, UL, ASTM, ANSI, TUV, ISO, IPC, MIL, etc.)
- - In-depth understanding and implementation experiences in APQP, FMEA, SPC & Process capability, MSA, PPAP, DOE, data analysis, hypothesis testing etc.
- - Excellent English communication skills and interactions with suppliers and customers, both written and verbal
- - Ability & willingness to travel as required for up to 50%
- - Certified QMS lead auditor
- - Certified CQE
- - Certified CSSGB or CSSBB
- - Solid experience in SMT, DIP, FATP, FPC/FPCA and surface treatment process
- Effective document/procedure writing, presentation and project management skills
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As a Tech Business Developmer, you will be responsible for identifying, orchestrating, and delivering strategic pursuits with our most important partners. This is a high visibility role that requires the candidate to work with internal and external stakeholders, including senior leadership (Director/VP/SVP levels), to create stronger customer value propositions. The candidate will need to understand where our relative advantages or risks lie, when major features in existing roadmaps are set to launch, and current trends around innovation, consolidation and customer adoption. This could mean incubating technology deals or programs which are seminal in nature, need a centralized advocate, and have broader implications to Amazon, so the candidate must think strategically and support their recommendation with sound business judgement and insights.This is a highly technical role, and requires fundamental understanding of technology domains such as AI, system-on-chip, connectivity, device hardware/ software, Operating systems.This role requires international travel up to 30% of the time.
- Experience developing strategies that influence leadership decisions at the organizational level
- Bachelor's degree
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience with AI/ML technologies
- 11+ years of developing, negotiating and executing business agreements experience
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The ideal candidate has a strong technical background in new product development, deep knowledge of consumer hardlines quality standards and compliance, and experience applying AI technologies. You’ll help build GenAI solutions to scale quality processes and support our rapidly evolving business.Key job responsibilities
• Ensure products continuously comply with Amazon’s quality, performance, reliability, as well as relevant safety and worldwide regulatory requirements
• Implement and apply Amazon.com quality systems throughout the product life cycle
• Work with stakeholders to define HPB product requirement document/specification in the planning stage of product development
• Work with suppliers, 3rd party test labs, and internal teams for quality and compliance testing.
• Proactively drive corrective action plans to lower down DPPM and raise the quality bar
• Monitor and rigorously adhere to all quality activities SLAs and ensure SLA adherence by vendors and 3rd party labs.
• Own DPPM (Defective Part Per Million) & CRR (Customer Review Rating) for responsible product categories, and proactively work with all stakeholders for resolving any quality complaints or issues
• Strive continuously to identify innovative ways to prevent quality issues leading to improved customer reviews and ratings
• Continuously analyze existing quality processes and systems and work with cross-functional teams for process improvements
• Drive scalable business solutions on product development and quality monitoring processes
• Maintain close collaboration with all internal and stakeholders, including those based in US and other worldwide Amazon offices, and provide visibility through appropriate reports
• Explore and implement Generative AI tools to improve quality operations and drive innovation.
Basic qualifications
- Bachelor’s degree in science, engineering or related discipline
- 3+ years experience in product development or quality management within a manufacturing environment, third-party testing agency, or sourcing office of a global retailer
- Proven experience working with cross-functional teams and managing both internal and external stakeholders
- Strong background in managing vendor relationships and third-party service providers
- Excellent analytical and problem-solving skills with the ability to dive deep into data to identify root causes of quality issues
- Structured and process-oriented mindset with a focus on continuous improvement
- Proficient in both written and spoken English and Mandarin
- Solid data analysis capabilities and basic programming skills (e.g., SQL, Python)
- Hands-on experience using AI tools and developing Generative AI solutions
- Proven ability to manage multiple competing priorities and deliver high-quality results under tight deadlines
- CQE, Six Sigma certification, or MBA is a plus
- Proficient in Excel, Word, and other standard desktop applications; comfortable learning web-based tools and proprietary systems
- Ability to write basic SQL queries and use Python for data analysis and have fundamental understanding of AI concepts and technologies
- Fluent in English with strong written and verbal communication skills
- Excellent interpersonal skills and ability to collaborate effectively with cross-functional teams
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Key job responsibilities
• Ensure products continuously comply with Amazon's quality, performance, reliability, as well as industry safety and regulatory requirements worldwide
• Drive manufacturing excellence through data-driven approaches to identify quality trends, predict potential issues, and implement preventive measures across supplier networks
• Manage and coach strategic suppliers to improve quality management systems, manufacturing processes and customer satisfaction; utilize AI-powered analytics to provide data-driven recommendations for improvement
• Design and operate scalable quality management programs, develop best-in-class processes and systems, and drive continual improvement across different business models
• Communicate technical, quality, and process requirements effectively to non-technical stakeholders through data visualization and analytical insights
• Bachelor’s degree required with a scientific or engineering focus
• 4+ years of working experience in quality management, manufacturing, or related fields in consumer products or fashion industry
• Knowledge of quality management systems and standards (e.g. ISO 9001), with demonstrated understanding of manufacturing operations across diverse industries
• Fluent in Chinese and English; excellent written and verbal communication skills
• Think creatively and possess strong analytical and problem-solving skills
• Able to travel (national and international) often
• Experience with process improvement methodologies (e.g., Lean Six Sigma) and data-driven problem solving
• Basic proficiency or strong interest in analytical tools (SQL, Python, or AI tools) to drive business insights and operational efficiency
• Experience in communicating data-driven insights with cross-functional teams and leadership
These jobs might be a good fit

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- Knowledge of QA methodology and tools
- Confident in English communication over writing/speaking.
These jobs might be a good fit

Share
Key job responsibilities
• Ensure products continuously comply with Amazon's quality, performance, reliability, as well as industry safety and regulatory requirements worldwide
• Drive manufacturing excellence through data-driven approaches to identify quality trends, predict potential issues, and implement preventive measures across supplier networks
• Manage and coach strategic suppliers to improve quality management systems, manufacturing processes and customer satisfaction; utilize AI-powered analytics to provide data-driven recommendations for improvement
• Design and operate scalable quality management programs, develop best-in-class processes and systems, and drive continual improvement across different business models
• Communicate technical, quality, and process requirements effectively to non-technical stakeholders through data visualization and analytical insights
• Bachelor’s degree required with a scientific or engineering focus
• 4+ years of working experience in quality management, manufacturing, or related fields in consumer products or fashion industry
• Knowledge of quality management systems and standards (e.g. ISO 9001), with demonstrated understanding of manufacturing operations across diverse industries
• Fluent in Chinese and English; excellent written and verbal communication skills
• Think creatively and possess strong analytical and problem-solving skills
• Able to travel (national and international) often
• Experience with process improvement methodologies (e.g., Lean Six Sigma) and data-driven problem solving
• Basic proficiency or strong interest in analytical tools (SQL, Python, or AI tools) to drive business insights and operational efficiency
• Experience in communicating data-driven insights with cross-functional teams and leadership
These jobs might be a good fit