DESCRIPTION Voice-driven AI combined with engaging Visual Experiences are an exciting reality. Successful candidates will be able to lead by example, balancing their technical depth with customer focused acumen to deliver products which delight our customers. If being at the forefront of new innovation for Alexa sounds exciting, we would love to talk to you! 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! BASIC QUALIFICATIONS 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 PREFERRED QUALIFICATIONS 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 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.
DESCRIPTION Voice-driven AI combined with engaging Visual Experiences are an exciting reality. Successful candidates will be able to lead by example, balancing their technical depth with customer focused acumen to deliver products which delight our customers. If being at the forefront of new innovation for Alexa sounds exciting, we would love to talk to you! 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! BASIC QUALIFICATIONS 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 PREFERRED QUALIFICATIONS 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 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.
DESCRIPTION Voice-driven AI combined with engaging Visual Experiences are an exciting reality. Successful candidates will be able to lead by example, balancing their technical depth with customer focused acumen to deliver products which delight our customers. If being at the forefront of new innovation for Alexa sounds exciting, we would love to talk to you! 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! BASIC QUALIFICATIONS 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 PREFERRED QUALIFICATIONS 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 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.
DESCRIPTION We're seeking a Business Intelligence Engineer to join our team supporting product analytics for the Alexa Mobile App and the upcoming Alexa+ endpoints. You'll be at the forefront of generative AI innovation. Alexa+ leverages large language models to deliver more natural, contextual conversations—going beyond traditional voice assistant experiences. Your analytics work will directly shape how we measure and improve this transformative AI product, from response quality and conversation coherence to customer engagement with AI-generated content. This is a unique opportunity to define the analytics foundation for a product reaching millions of customers. Key job responsibilities Data Infrastructure & Pipeline Development Design, build, and maintain scalable data pipelines to support Alexa+ analytics Create and optimize ETL processes for web interaction data, user engagement metrics, and product performance indicators Ensure data quality, accuracy, and availability across all reporting solutions Analytics & Insights Delivery Develop automated dashboards and reports tracking key metrics for Alexa+ endpoint performance. Define and track metrics specific to LLM-powered interactions, including customer satisfaction. Build analytics frameworks to understand customers interaction with Alexa+ features Analyze user behavior patterns, engagement trends, and conversion funnels for Alexa interactions Partner with Product Managers, Data Scientists, and Engineering teams to define and track KPIs Deliver actionable insights through clear visualizations and written analyses for both technical and non-technical audiences Technical Execution Use development tools to accelerate SQL/Python development for automated insight generation and exploratory analytics Write efficient, maintainable SQL queries and data transformations Build and maintain datasets in Redshift and create compelling visualizations using QuickSight Implement data quality checks and monitoring to ensure reporting accuracy Document data models, pipelines, and analytical methodologies About the team Why Join Our Team ? Work on Generative AI technology reaching millions of customers Collaborate with a talented team of Data Engineers, Data Scientists, and BI Engineers High impact role supporting a strategic new product initiative (Alexa+ ) Opportunity for growth and skill development in a fast-paced environment Strong culture of mentorship, innovation, and operational excellence BASIC QUALIFICATIONS 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets 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.
DESCRIPTION A Quality Assurance Manager in the Alexa ecosystem plays a critical role in driving product quality and team performance across multiple technical domains. The QAM will work closely with Product Management, Software Development Engineering, User Experience Design, and Customer Support groups to understand product vision, requirements, and customer usage models while developing comprehensive test strategies. Key job responsibilities Key responsibilities include setting the QA team's technical vision and roadmap, developing and tracking project schedules, and managing a team responsible for validating software functionality, stability, and performance. The successful Quality Assurance Manager must have a strong customer focus and be obsessed with continuous quality improvement, with particular expertise in creating world-class automation for feature testing and regression. The ideal candidate will demonstrate the ability to develop and drive high-level strategies while simultaneously taking a hands-on approach to implementation. They must be experienced in working within cross-disciplinary organizations and capable of driving strategy to implementation in a fast-paced, dynamic environment. Critical skills include the ability to: 1. Develop comprehensive test strategies 2. Create and track project schedules 3. Build and lead high-performing QA teams 4. Implement advanced automation frameworks 5. Ensure software functionality and performance meet high-quality standards. BASIC QUALIFICATIONS 1+ years of quality assurance engineering experience 3+ years of quality assurance teams management experience Experience managing manual testers Experience managing automation testers Experience testing web technologies and back-end services Experience identifying and reviewing test plans, test cases and testing results with a strong QA background PREFERRED QUALIFICATIONS Experience preparing quality metrics and effectively engaging with stakeholders to set and drive quality goals Experience transforming QA programs from manual to automation 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.
DESCRIPTION The Quality Assurance Engineer (QAE) role in Alexa Endpoints team focuses on testing next-generation AI-powered features across multiple device platforms, with a deep emphasis on core Alexa SDK implementation for iOS and Android. The role involves comprehensive testing of Alexa+ capabilities, which include advanced conversational interactions and generative AI-powered assistive technologies. Key job responsibilities Key testing responsibilities will span critical endpoints including Android, iOS, and other device platforms. The QAE will be responsible for developing and maintaining test suites that cover voice interactions, text interactions, mobile-specific flows, and cross-platform testing requirements. BASIC QUALIFICATIONS 4+ years of quality assurance engineering experience Experience in automation testing Experience in manual testing Experience as QA lead on medium to large sized projects PREFERRED QUALIFICATIONS Experience with at least one automated test framework like Selenium or Appium Experience in gathering test requirements to create detailed test plans and defining quality metrics to measure product quality Experience with Android, iOS or other mobile application development or testing 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.