Applied Scientist role focused on designing, implementing, and delivering machine learning models for Amazon's Japanese customer experience in areas like Search, Personalization, and Delivery. The role involves innovating new models, analyzing data, publishing research, and integrating solutions into production systems with a focus on both performance metrics and millisecond response times.

This role focuses on architecting and developing end-to-end solutions that leverage Generative AI technologies like Amazon Quick and Bedrock for customer success. It involves designing and implementing solution blueprints, integrating Gen AI capabilities into existing systems, and providing guidance on data preparation, model training, and deployment strategies. The role also includes customer updates and SFDC hygiene.

Sr. Applied Scientist role focused on developing AI prototypes and concepts for the JP Manga business, involving research, design, and training/tuning of NLP and Computer Vision models for applications like translation, summarization, extraction, boundary detection, image understanding, and generation. The role emphasizes tangible business impact and collaboration with product managers and engineers, with opportunities for publication.

The Senior Product Manager will define the product strategy and roadmap for strategic initiatives impacting top and bottom line growth for Amazon Business, with a focus on pricing innovation and transforming the seller experience through generative AI and next-generation tooling. This role involves understanding seller needs, leveraging their capabilities, and optimizing the seller journey. The position requires interaction with senior management and co-ownership of global initiatives, aiming to enable sellers' success on Amazon. Key responsibilities include developing pricing strategies, launching global initiatives, writing business cases, and conducting competitive analysis. The role emphasizes applying emerging technologies, including generative AI, to reimagine seller operations and growth.

This role is for a Strategic Supply Chain Manager in Amazon's Books division. The primary focus is on improving customer and vendor experience through supply chain optimization, including demand forecasting, ordering, and inventory management. While the role mentions leveraging machine learning models for automation, the core responsibilities are in supply chain management and product delivery, not in building or researching AI models themselves.

This role is a Customer Solutions Manager at AWS, responsible for leading cloud transformational programs and driving AI adoption for customers. The role involves understanding customer business objectives, translating them into executable plans, and collaborating with various AWS teams and partners to ensure successful implementation and adoption of AWS services, including AI solutions. The manager will also contribute to shaping the Customer Solutions Management function by leveraging generative AI.

The role involves evaluating and labeling various data types (text, audio, image, video) to improve AI quality and support AI development. It includes generating human judgment data, monitoring harmful content generated by AI, and managing data security. The role also focuses on quality control, proposing solutions for improvement, and supporting AI development by making appropriate judgments with incomplete information. Translation of guidelines is also a responsibility. The role requires native-level Chinese or Korean and business-level Japanese or English.

This role is for a Startup Account Manager at AWS, focusing on driving growth and revenue within well-funded, high-potential startups. The position requires strong sales acumen, knowledge of the startup ecosystem, and familiarity with AI/ML. Responsibilities include achieving sales quotas, crafting partnerships, accelerating service adoption, and building strategic relationships with key accounts and influencers. The role involves close collaboration with internal teams and business development to execute go-to-market strategies.

The role involves performing quality audits and manual reviews on data provided by Data Associates to ensure data quality for AI development and training. It also includes coaching Data Associates and validating automated quality measurement systems.

The role involves performing quality audits on data submitted by Data Associates, validating automated quality measurement systems through manual reviews, and coaching Data Associates to maintain high standards of data quality for AI development and training. The primary focus is on data quality assurance for AI training.

Software Development Engineers at Amazon Japan Store Tech will design, develop, test, deploy, and maintain distributed software solutions. This role is focused on complex optimization problems within the Amazon Points Platform, which has expanded globally. The team uses AI agents for various aspects of software development and operations, including turning requirements into code changes, monitoring services, and triaging issues. Engineers will be both users and creators of these AI tools, working on platform problems at a worldwide scale.

This role focuses on driving customer success and adoption of Amazon Q, a generative AI service. The strategist will architect and implement solutions, lead transformation programs, and work with customers and internal teams to realize business value. While it involves generative AI services, the core craft is customer-facing product strategy and implementation, not direct AI/ML model building.

The role involves performing quality audits and manual reviews on data provided by Data Associates to ensure data quality for AI development and training. It also includes coaching Data Associates and validating automated quality measurement systems.

The role involves performing quality audits and manual reviews on data provided by Data Associates to ensure data quality for AI development and training. It also includes coaching Data Associates and validating automated quality measurement systems.

Director of Sales Operations for AWS Japan, focusing on driving long-term business growth through data analysis, forecasting, and optimizing business processes. The role involves supporting Generative AI initiatives to unlock data-driven insights and customer innovation, but the core function is sales operations and strategy, not direct AI/ML model development.

The JP Economics and Decision Sciences team is a central science team that applies rigorous economic theory, causal inference methods, and machine learning to solve complex business challenges across the JP marketplace and beyond. We work closely with JP business leaders to drive change at Amazon, focusing on solving long-term, ambiguous problems while providing advisory support for short-term business pain points. Key topics include pricing, product selection, delivery speed, profitability, and customer experience. We tackle these issues by building novel economic and econometric models, machine learning systems, and high-impact experiments which we integrate into business, financial, and system-level decision making. Our work is highly collaborative and we regularly partner with JP-, EU-, and US-based interdisciplinary teams.

Product Manager Technical role focused on AI-native product development for Amazon's JP Store. The role involves owning the end-to-end customer experience for AI-powered marketing automation, using generative AI to create personalized content and experiences that drive product discovery and conversion across various channels. Responsibilities include defining customer journeys, designing experiments, driving data-driven product development, and collaborating with engineering and design teams on AI-powered features.

The role involves performing quality audits on data submitted by Data Associates, validating automated quality measurement systems through manual reviews, and coaching Data Associates to maintain high standards of data quality for AI development and training. The primary focus is on data quality assurance for AI training.

This role focuses on leveraging BI tools and AI technology to build an analytical foundation for optimizing last-mile operations. The Business Analyst will apply statistical knowledge, analyze data-driven processes, and provide insights for continuous improvement and operational excellence. Key responsibilities include designing data analysis projects, developing dashboards, conducting various statistical analyses, and automating processes with AI/ML tools.

The role involves data annotation and evaluation for AI development, focusing on Korean language data including text, voice, images, and videos. Responsibilities include generating high-quality human judgment data, monitoring harmful content from generative AI, ensuring data privacy and security, and contributing to quality control and improvement by identifying error patterns and proposing solutions. The role also includes translation of guidelines and supporting AI development with appropriate decision-making.

The Data Associate role at Amazon Japan is responsible for supporting AI development projects by evaluating and labeling various data types including text, speech, images, and videos. This role involves generating high-quality human judgment data, monitoring generative AI outputs for harmful content, and ensuring data privacy and security. The position is part of a new Chinese language team and requires strong language skills in Chinese and either Japanese or English, along with basic computer proficiency and teamwork abilities.

The Data Associate role at Amazon Japan focuses on supporting AI development by evaluating and labeling various data types (text, voice, image, video). Key responsibilities include generating high-quality human judgment data, monitoring harmful content from generative AI, and managing data privacy and security. The role also involves quality control, proposing improvements, and collaborating with the team. While no prior experience is required, a willingness to learn is valued. Fluency in Korean is essential, with proficiency in Japanese or English also required.

This role is a Data Solutions Lead within Amazon's AGI-DS team, focusing on ML/Generative AI data collection. The lead will act as a trusted advisor to scientists, providing expert consultation on data collection, managing customer relationships, and driving business value through technical advisory. Responsibilities include translating research goals into data collection requirements, managing workflows, ensuring data quality, and influencing technical documentation. The role requires strong customer communication, ML data operations experience, and an understanding of data annotation and ML workflows.

This role is a Data Solutions Lead within Amazon's AGI-DS organization, focusing on providing expert consultation for ML/Generative AI data collection. The lead will act as a trusted advisor to scientists, managing customer relationships, driving business value through technical advisory, and ensuring customer satisfaction by creating and managing workflows for data collection. Key responsibilities include translating complex research goals into data collection requirements, documenting solutions, coordinating across teams, building relationships with customer scientists, consulting on ML workflow capabilities, and monitoring/optimizing data collection metrics. The role also involves guiding customers on workflow feasibility and best practices, defining technical requirements with implementation teams, and evaluating annotation scenarios for scalability.

This role is for a Senior Engagement Manager focused on Prototyping and AI Customer Engineering (PACE) within AWS. The primary responsibility is to help customers innovate using emerging cloud technologies, particularly Generative AI services, by collaborating with account teams, partners, and customers to identify opportunities, craft a vision, and oversee the delivery of prototypes. The role involves understanding customer business priorities, articulating value propositions, and driving strategic outcomes through cloud-based solutions. While the role interacts with AI services and prototypes, the core function is customer engagement, program management, and driving adoption of AWS services, rather than direct AI/ML model development or research.

This role is for a Senior Strategic Supply Chain Manager in Amazon's Books organization. The primary focus is on optimizing supply chain strategies, including demand forecasting, ordering, and inventory management, to improve customer and vendor experience. While the role mentions leveraging machine learning models for automation, the core responsibilities are in supply chain management and optimization, not direct AI/ML development.

This role is a Data Solutions Lead Manager responsible for managing a Data Collection team focused on ML/Generative AI data collection. The role involves managing team performance, developing expertise in AI data collection and related products, leading global improvement initiatives, coordinating with global teams, monitoring and optimizing collection health metrics, and driving customer service utilization through technical value and customer experience. The manager will also act as an escalation point for difficult data collection cases and collaborate with product/technology teams to build long-term solutions.

This role focuses on advising AGI-DS scientists on ML/Gen AI data collections, managing customer relationships, and driving business value through technical advisory. It involves creating and managing workstreams for data collection requirements, coordinating delivery, and monitoring collection health metrics. The role requires a strong understanding of data annotation and ML workflows, with a focus on customer success and technical consultation.

Senior GenAI / Agentic AI Sales Manager for AWS Global Sales, focusing on driving revenue and customer adoption of Generative AI and Agentic AI technologies. The role involves technical sales, solution advisory, and customer engagement to translate AI capabilities into business value.

Senior Product Manager for JP Books at Amazon, focusing on selection strategy and science for Kindle and Print Retail. The role involves defining strategic frameworks, developing a selection science roadmap, identifying and capturing opportunities, and partnering with cross-functional teams. Key responsibilities include building the selection strategy roadmap, defining analytics and metrics, driving automation through AI/ML, establishing benchmarking and research capabilities, and reporting to senior leadership. The role emphasizes balancing customer experience, publisher partnerships, and business growth, with opportunities to innovate using AI/ML.

Software Development Engineer (SDE-I) role focused on optimizing delivery options for millions of Japanese customers on Amazon.co.jp. The role involves designing, developing, and maintaining distributed systems that handle high-throughput, low-latency decision-making in a complex logistics domain, with a focus on consolidation and shipment optimization to reduce costs while maintaining customer experience.

Software Development Engineers to innovate and automate Amazon JP Operations and beyond, focusing on supply chain and fulfillment optimization. Responsibilities include designing, developing, testing, deploying, and maintaining distributed software solutions across various technical stacks and domains, including web applications, backend services, cloud architecture, and machine learning.

Senior Sales Trainer & Coach for AWS, responsible for delivering executive foundation training, deal coaching, and Generative AI enablement. Develops and executes global sales training curriculum strategy, requiring program development expertise, cross-functional collaboration, and project management.

The Controls Engineer will deploy and service data center building automation systems (BMS, EPMS) for AWS global infrastructure, ensuring data center health, managing vendors, and resolving operational issues. This role involves project delivery for upgrades and new builds, local servicing, and collaboration with various internal teams and external vendors.

This role is for an Engagement Manager at Amazon Web Services (AWS) Professional Services. The primary focus is on managing and coordinating projects to help customers achieve their business goals. The role involves strategic planning, understanding customer needs, managing stakeholders, and ensuring project success. While the company is involved in AI, this specific role is a customer-facing project management position, not directly building or researching AI models.

The Controls Engineer will deploy and service data center building automation systems (BMS, EPMS) for AWS global infrastructure, ensuring data center health, managing vendors, and delivering projects for upgrades and new builds. This role involves collaborating with various internal teams and external vendors to maintain high standards of safety, security, and cost-efficiency.

This role is for a Controls Technician responsible for deploying and servicing control systems (BMS and EPMS) in AWS data centers. It involves installation, upgrades, troubleshooting, and ensuring the optimal performance and health of these critical systems. The role requires collaboration with various internal teams and vendors, project execution, and operational support.

This role is for a Controls Technician responsible for deploying and servicing control systems (BMS and EPMS) in AWS data centers. It involves installation, upgrades, troubleshooting, and ensuring the optimal performance and health of these critical systems. The role requires collaboration with various internal teams and vendors, project execution, and operational support.

This role is for a Controls Technician responsible for deploying and servicing control systems (BMS and EPMS) in AWS data centers. It involves installation, upgrades, troubleshooting, and ensuring the optimal performance and health of these critical systems. The role requires collaboration with various internal teams and vendors, project execution, and operational support.

This role is for a Controls Technician responsible for deploying and servicing control systems (BMS and EPMS) in AWS data centers. It involves installation, upgrades, troubleshooting, and ensuring the optimal performance and health of these critical systems. The role requires collaboration with various internal teams and vendors, project execution, and operational support.

Senior Business Intelligence Engineer role focused on designing and implementing data pipelines, automated reporting, and BI infrastructure using AWS and internal tools. The role involves owning analytics strategy, developing metrics frameworks, and mentoring junior team members within the AMXL Japan logistics network.

Delivery Practice Manager for AWS Professional Services, focusing on managing early-in-career talent (Associate Consultants) and leading them to deliver transformative IT projects for enterprise customers. Responsibilities include team building, strategic advisory, P&L management, business development, and ensuring on-time, within-budget project delivery.

Senior Business Intelligence Engineer role at Amazon's AMXL Japan, focusing on building and operating reports, dashboards, and applications to support a large e-commerce logistics business. The role involves setting strategic priorities, delivering BI solutions, ensuring engineering and operational excellence, defining metrics, and delivering BI solutions for complex problems. Requires experience in SQL, data extraction/transformation, statistical analysis, scripting (Python), and information retrieval/data science/machine learning/data mining.