Amazon

The Principal Product Manager - Technical will lead the development of high-scale programmatic reporting solutions for Amazon Ads. This role focuses on enabling advertisers to measure, analyze, and optimize their campaigns by delivering data programmatically, which in turn powers AI agents, ML models, and analytics engines. The position involves defining strategy, roadmap, and technical solutions, collaborating with engineering and other teams, and ensuring data quality and consistency. The role also includes incubating next-generation interfaces, including GenAI-powered reporting.

This role focuses on foundational data labeling for AI, including text, speech, audio, image, and video data. The associate will work with in-house tools to deliver high-quality labeled data, meet KPIs, and analyze root causes of errors to improve labeling tasks. The role involves daily operational deliverables, floor support, and contributing to the responsible development of generative AI.

Principal UX Designer for Amazon Customer Service Technology, focusing on designing next-generation AI-powered tools and generative AI solutions to improve customer and associate experiences. This role involves strategic leadership, hands-on design of complex workflows, and partnership with engineering and product teams to drive AI innovation in customer service.

This role focuses on building statistical and machine learning models using large datasets to optimize product performance and support data-based decision making. The Data Scientist III will own data science elements of products, translate business problems into data requirements, and develop data science solutions. They will also be responsible for communicating analysis results and bridging uncertainty in problem definition and solution approaches.

This role is a Principal Sales Specialist for Analytics at Amazon Web Services (AWS). The primary focus is on driving revenue and market share by helping customers leverage AWS analytics and AI/ML services to achieve their business goals. The role involves strategic planning, customer education, solution crafting with specialized architects, and managing the sales process. While the role involves understanding and articulating the value of AI/ML solutions (like Amazon Bedrock and SageMaker), the core responsibility is sales and business development, not direct AI/ML model development or research.

Software Development Engineer II role at Amazon Advertising focusing on building scalable services and ML-powered software solutions for advertisers. The role involves full-stack development, leveraging big data technologies, and collaborating with research scientists and product managers to design and implement AI/ML-driven features.

UX Designer role focused on designing operator-facing interfaces for complex automation systems in Material Handling Systems (MHS) and Robotics. The role involves user research, prototyping, and collaboration with engineers to create a real-time visualization platform integrating robotic and MHE data. While the company uses ML, the core function is UX design for industrial automation, not direct AI/ML model development.

This role focuses on leveraging AI tools and modern automation frameworks to transform testing infrastructure by migrating manual test cases to automated solutions and building robust, multi-stage pipelines. The candidate will design and implement AI-powered frameworks, utilize generative AI and ML tools for test case acceleration, and build intelligent, adaptive test frameworks. The role also involves architecting CI/CD pipelines, implementing static analysis, designing device farm integration, and creating scalable testing infrastructure. Quality assurance aspects include developing functional test suites, UI consistency validation, performance testing, and visual regression testing. Technical leadership in driving testing strategy, collaborating with engineers, and mentoring team members is also expected.

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 focuses on building and deploying machine learning models for global demand forecasting in the context of Amazon Leo's satellite broadband initiative. The Data Scientist will integrate data from various sources, develop bandwidth usage models, and ensure seamless integration with capacity planning systems. They will also contribute to the technical roadmap and evaluate AI systems, with a focus on assessing GenAI model performance.

Software Development Engineer II for the FinTech Lyra (Liquidity, Risk and Applied AI) team. The role involves designing, developing, and owning scalable distributed systems for critical financial workflows, including risk engines. Collaboration with ML scientists, data scientists, and other stakeholders is key to translating business requirements into technical solutions. The team focuses on managing and optimizing liquidity needs and risk exposure, ensuring controllership and compliance.

Software Development Engineer II for the FinTech Lyra (Liquidity, Risk and Applied AI) team. The role involves designing, developing, and owning scalable distributed systems for critical financial workflows, including risk engines. Collaboration with ML scientists, data scientists, and other stakeholders is key to translating business requirements into technical solutions. The team focuses on managing and optimizing liquidity needs and risk exposure, ensuring controllership and compliance.

The ML Data Associate I role at Amazon focuses on performing annotation and data processing tasks for ML data, including audio, image, video, and text. The role involves collecting ground truth data, executing detail-oriented exercises, applying language skills, and meeting daily productivity and quality targets. It also includes performing quality audits, reporting results, adhering to compliance requirements, and testing new ML data tools.

The ML Data Associate I role at Amazon focuses on performing annotation and data processing tasks for ML data, including audio, image, video, and text. The role involves collecting ground truth data, executing detail-oriented exercises, applying language skills, and meeting daily productivity and quality targets. It also includes performing quality audits, reporting results, adhering to compliance requirements, and testing new ML data tools.

Software Development Engineer responsible for developing and maintaining high-performance monitoring and profiling tools for AWS Neuron AI accelerators (Inferentia and Trainium). The role involves managing the full development lifecycle of the Neuron Profiler/Tools toolchain, optimizing ML Kernels and Frameworks, and collaborating with compiler and runtime teams to provide insights for customer optimization of AI workloads.

Software Development Engineer role focused on building and owning Tier 1 services for Amazon Ads' Sponsored Products and Brands. The role involves designing, developing, and maintaining highly available, scalable systems that determine ad eligibility and serve ads to millions of customers. It leverages generative AI technologies and involves working with numerous machine learning models within a low-latency, high-scale ad serving workflow.

The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation on speech, text, audio, video, and image data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to enhance labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) and generative AI at Amazon.

This role involves performing quality audits and manual reviews of data processed by Data Associates to ensure high standards for AI development and training. It requires coaching Data Associates, identifying root causes of quality issues, and validating automated quality measurement systems. The role emphasizes attention to detail, analytical skills, and compliance with quality standards.

This role focuses on quality auditing for AI data services, involving manual review and validation of automated quality measurements to ensure high standards in data quality for AI development and training. It requires experience in ML/Data Labeling operations and understanding of data annotation and quality metrics.

This role focuses on quality auditing for AI data services, involving manual review and validation of automated quality measurements to ensure high standards in data quality for AI development and training. It requires experience in ML/Data Labeling operations and understanding of data annotation and quality metrics.

The role focuses on foundational labeling functions for AI, including dialogue evaluation on various data modalities (text, speech, audio, video). The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and suggest process improvements. This is a fixed-term contractual role.

The role focuses on foundational labeling functions for AI, including dialogue evaluation on various data modalities (text, speech, audio, video). The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and suggest process improvements. This is a fixed-term contractual role.

The role focuses on foundational labeling functions for AI, including dialogue evaluation on various data modalities (text, speech, audio, video). The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and suggest process improvements. This is a fixed-term contractual role.

The role focuses on foundational labeling functions for AI, including dialogue evaluation on various data modalities (text, speech, audio, video). The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and suggest process improvements. This is a fixed-term contractual role.

The role focuses on foundational labeling functions for AI, including dialogue evaluation on various data modalities (text, speech, audio, video). The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and suggest process improvements. This is a fixed-term contractual role.

The role focuses on foundational labeling functions for AI, including dialogue evaluation on various data modalities (text, speech, audio, video). The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and suggest process improvements. This is a fixed-term contractual role.

The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation on speech, text, audio, video, and image data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to enhance labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) and generative AI at Amazon.

The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation on speech, text, audio, video, and image data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to enhance labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) and generative AI at Amazon.

Director of Software Development for Amazon Foundational Security Services (AFSS) focusing on identity and access management. The role involves transforming access controls, operating Tier-1 services, and establishing a new vision for business agility and security. Key responsibilities include leveraging generative AI for development acceleration, service operations transformation, and shipping AI authorization features to support agentic AI.

Senior ABM Manager for AWS Industry Marketing focused on the National Security and Defense sector. The role involves designing and executing targeted marketing programs for government accounts to drive awareness, engagement, and pipeline growth, leveraging AWS cloud and generative AI capabilities. This is an individual contributor role working at the intersection of marketing, sales, and government relations.

AWS Sr. Sales Manager for Retail & CPG in Brazil, leading a team to drive revenue growth and cloud adoption, with a focus on AI-first strategies including Generative AI and Agents. Responsible for C-suite engagement, strategic account planning, and fostering customer relationships.

Software Development Engineer role focused on optimizing and solving complex problems in Amazon's global fulfillment operations using AI-powered development tools and AI-first methodologies. The role involves designing, implementing, and shipping features, debugging distributed systems, generating test suites and documentation, and prototyping integrations, all augmented by AI tools. The engineer will own the AI-augmented software development lifecycle and champion AI-first practices within the team.

This role is for a Senior AI Specialist Sales professional at AWS, focused on driving the adoption of AWS's AI services by customers in Korea. The role involves understanding customer goals, translating AI capabilities into business value, and guiding customers through AI adoption journeys. It requires strong technical AI knowledge combined with sales and customer-facing skills, partnering with customers from C-suite to technical architects.

Senior Design Technologist role focused on integrating AI tools into creative advertising production workflows for IMDb. The role involves leading technical execution of campaigns, prototyping, and evaluating/operationalizing AI solutions to accelerate creative processes and reduce manual effort. It requires a blend of design sensibility and front-end development expertise.

The Catalog Specialist II role at Amazon supports the development of Machine Learning (ML) models and data science classification algorithms by performing data annotation and collaborating with science and technology teams. The role focuses on ensuring high-quality annotated data to optimize model performance and improve efficiency and accuracy of annotation processes.

This role is a Senior Customer Solutions Manager for AWS, focusing on guiding customers through their cloud adoption journey, including defining their generative AI roadmaps and use cases. The role involves collaborating with various AWS teams and customer leadership to ensure successful cloud transformations and adoption of AWS services.

This role is a Partner Development Manager at AWS, focusing on building relationships with startup Generative AI partners. The primary responsibility is to drive adoption of AWS services among these partners, manage strategic relationships, and develop go-to-market strategies to increase revenue and market adoption of partner solutions. It involves technical and business background, engaging at C-level, and managing pipelines and contract negotiations.

Software Development Engineer II role focused on building AI-native experiences for Alexa+ using generative AI and LLMs, enabling third-party partners to create engaging customer experiences. The role involves designing, architecting, and implementing software that runs on millions of devices, with a focus on high quality, long-term architecture, and engineering best practices.

Senior Product Manager to build, launch, and scale Generative AI (GenAI) and data science products for Amazon's middle mile transportation network, focusing on planning and execution. The role involves defining product vision, aligning business outcomes with scientific research, and making strategic decisions on complex transportation problems.

Software Development Engineer on the Playback team at Audible, focusing on designing, architecting, and implementing machine learning solutions for audio storytelling applications. The role involves developing software components, collaborating with stakeholders, and optimizing playback quality and customer experience.

Solutions Architect role focused on helping customers leverage AWS services, including AI and GenAI, to build applications and services. The role involves technical engagement, understanding customer architectures, and ensuring successful implementation.

This role is a Go-To-Market (GTM) Specialist Solutions Architect within the AWS Worldwide Specialist Organization (WWSO) AI/ML/GenAI team. The primary focus is on helping customers develop data-driven initiatives and solve complex data challenges using AWS services. The role involves representing customer needs to product teams, providing technical expertise to GTM teams, owning the technical bar for artifacts, collaborating on GTM strategy, acting as a thought leader, guiding internal SMEs, and creating enablement materials for other Solutions Architects. While the role is within an AI/ML/GenAI team and involves working with data and AI technologies, the core responsibilities are focused on go-to-market strategy, customer engagement, and technical enablement rather than directly building or shipping AI models or agents.

This role supports the development of ML models and classification algorithms by performing data annotation and labeling. The Catalog Specialist will work closely with product, technology, and science teams to ensure high-quality annotated data for model training and evaluation, aiming to improve customer experiences within Amazon's returns and sustainability group.

Senior Manager, Product Management for Live, Ambient and Identity experiences on Fire TV. Leads product vision, strategy, and execution, partnering with engineering, applied science, and ML teams to integrate generative AI and computer vision into customer experiences. Manages a team of Product Managers and influences strategic direction for Fire TV devices and OEM partners.

This role is for a Principal Account Executive at AWS, focusing on the enterprise games business. The primary responsibility is to manage and grow a key customer relationship, identifying and accelerating growth areas including AI/ML, data transformation, developer enablement, and infrastructure optimization. The role requires strategic thinking, collaboration across teams, and acting as a trusted advisor to the customer.

Product Manager Technical (PMT) to own solutions for product catalog challenges using Generative AI, LLMs, and machine learning. The role influences technical direction and partners with leadership to shape catalog management at Amazon, impacting product discovery and agentic commerce experiences.

Software Development Engineer II role at Amazon Physical Stores Payment team, focusing on building innovative payment solutions for retail formats like Just Walk Out technology. The role involves developing next-generation payment technologies, including cloud-enabled and on-device solutions, with experiments in generative AI for predictive patterns and autonomous payment agents. Responsibilities include designing cloud-native services, implementing payment integrations, developing risk and fraud prevention features, and contributing to system architecture.