This role focuses on overseeing and optimizing human-in-the-loop and model-in-the-loop data pipelines for AI solutions, ensuring data quality and providing mentorship. It involves collaborating with AI teams on data collection for LLM training and evaluating AI systems.

Senior Data Scientist role focused on building and guiding data-driven frameworks for personalization and content discovery in Prime Video, influencing customer experience through advanced statistical and machine learning techniques.

This role focuses on Signal & Power Integrity (SI/PI) analysis and optimization for advanced packaging solutions of machine learning and data center ASICs. The engineer will lead package-level SI/PI strategy, design and optimize package stack-ups, perform high-speed channel simulations, analyze and optimize the package PDN, and model advanced interconnects. The role requires expertise in SI/PI tools, advanced packaging technologies, and correlation of simulations with lab measurements.

Software Development Manager for AWS SageMaker Unified Studio, an AI-assisted development environment for Data Engineers, Data Scientists, SQL Analysts, and IT Administrators. The role involves leading a software development team to design, implement, test, and deploy innovative solutions at the intersection of Big Data, analytics, warehousing, and machine learning, while mentoring engineers and influencing technical strategy.

This role is for a Principal UX Designer focused on integrating AI capabilities, specifically Alexa's agentic features, into consumer products like Fire TV and tablets. The designer will be responsible for vision setting, cross-endpoint design, systems and visual design, strategic partnerships, and hands-on execution to create seamless and enhanced user experiences across Amazon's ecosystem. While AI is mentioned as a key component, the core craft is product design, not AI/ML model development.

Senior Software Development Engineer role within AWS Specialist and Partner Organization focused on building end-to-end self-service solutions for customers to resolve issues independently, thereby deflecting manual work from support engineering teams. The role actively leverages AI-powered development tools, including generative AI and LLM-based code generation, to accelerate delivery and improve code quality. Responsibilities include architecting, designing, and implementing scalable distributed systems, mentoring junior engineers, and driving architectural decisions. The team embraces AI-first development practices to innovate and improve engineering quality.

Product Marketing Manager for AWS Industry Marketing, focusing on Healthcare and Life Sciences. This role involves translating complex cloud and AI solutions into customer value, influencing product strategy, developing positioning and messaging, and acting as a technical evangelist. Requires a blend of technical understanding and business strategy, with experience in the Healthcare/Life Sciences industry and generative AI.

This role is for a Sr. Program Manager on the eXperience Measurement Science team at Amazon. The primary focus is on managing employee listening programs and survey campaigns, leveraging generative AI and statistical models to improve employee experience. The role involves collaborating with cross-functional teams, developing content management strategies, and identifying process improvement opportunities. While AI tools are used, the core craft is program management and product development in the employee experience domain, not direct AI/ML model building.

Senior Product Manager for Amazon Global Logistics, focusing on developing sophisticated pricing strategies and revenue management systems. The role involves leading product strategy, designing pricing mechanisms, partnering with data science teams on ML models and optimization algorithms, and driving cross-functional initiatives to deliver end-to-end pricing solutions. The goal is to establish AGL as a leading global freight provider by building pricing systems from the ground up.

This role focuses on working with venture capital firms and angel investors to accelerate the success of their portfolio companies on AWS. The Senior Startup Investor Manager will leverage technical understanding of cloud and emerging technologies, like generative AI, combined with business acumen to identify opportunities and ensure startups have access to the necessary resources to build products on AWS. The responsibilities include creating investor-focused programs, implementing solutions, collaborating cross-functionally, monitoring program effectiveness, collecting market signals, evaluating startup potential, and advising portfolio companies on cloud architecture and go-to-market strategies.

Product Marketing Manager for AWS European Sovereign Cloud, focusing on go-to-market strategy, customer value proposition, and influencing product strategy for European governments and enterprises. The role requires a blend of technical understanding and business strategy to articulate the value of AWS cloud and AI innovation.

Senior Program Manager for Alexa Audio, focusing on delivering audio experiences for internal and external partners, with an emphasis on Generative AI and LLM capabilities. Responsibilities include program definition, scoping, end-to-end delivery, stakeholder management, and strategic roadmap development, particularly concerning Legal, Privacy, Trust, and Voice of Customer programs.

Software Development Engineer II role focused on building AI-powered components for technical documentation experiences within AWS. The role involves designing, developing, and deploying scalable and maintainable solutions, with a strong emphasis on customer needs and engineering best practices. Experience with ML/LLM fundamentals is preferred.

This role is for a Senior Consultant within Amazon Vendor Services, focusing on solving critical business challenges for large vendors using a combination of consulting methodologies, data science, and e-commerce expertise. The consultant will work with senior vendor leaders, translate data and ML outputs into recommendations, and collaborate with internal teams to deliver custom solutions.

This role focuses on defining and delivering services and tools that leverage generative AI and agentic techniques for large-scale code transformations and modernization within AWS. The Product Manager will drive the product roadmap, work with engineering and design teams, and create go-to-market plans for AI-powered automation solutions.

The Language Engineer role within Amazon's MIDAS team focuses on creating and managing data annotation guidelines and workflows to support AI model training and evaluation for search quality. This involves data wrangling, analysis, defining UI templates, and reporting on data quality metrics, requiring linguistic and scripting expertise to address NLP and language understanding challenges. The role collaborates with scientists, engineers, and product managers to improve various aspects of Amazon Search, including semantic matching, ranking, computer vision, image processing, and augmented reality.

The role focuses on operating and optimizing a fleet of ML servers and accelerators, debugging hardware and software issues, developing data infrastructure, and creating automation software for operational scaling. It involves system remediation, root cause analysis of hardware failures, and implementing system-level testing.

Senior Financial Analyst role at AWS, focusing on financial planning, forecasting, and reporting for AWS Marketing. The role involves analyzing financial data, driving month-end close processes, and identifying opportunities for automation. While the role mentions leveraging generative AI tools for routine tasks, its core function is financial analysis and strategy, not AI/ML development.

Senior Manager for AWS Payments and Fraud Prevention, leading product managers to transform customer adoption and transactions. Focuses on expanding global reach, diversifying payment methods, reducing friction, and pioneering next-gen capabilities like embedded checkout and AI-powered solutions. Drives strategic initiatives, product innovation, and operational excellence, balancing growth with security and compliance. Manages teams shipping systems processing millions of daily transactions and leveraging ML for fraud detection.

This role is for a Specialist Strategy & Sales Operations Lead within AWS, focusing on the AWS Applied AI Solutions (AAIS) and Industries teams. The primary responsibility is to drive data-driven decision-making and operational excellence in sales, acting as a strategic business partner to leadership. The role involves managing sales frameworks, processes, and metrics, and leveraging AI/ML technologies to enhance sales processes and decision-making. Key responsibilities include standardizing sales processes, managing pipeline and attribution, orchestrating AI-human collaboration in sales, maintaining sales tools data quality, implementing sales workflows, conducting performance analysis, and leading cross-functional projects to improve sales efficiency.

Economist role focused on applying economic principles and statistical modeling to solve business problems, working with engineers and data scientists. The role involves data analysis, model estimation, experimentation, and transforming prototypes into scaled solutions. While the team embraces AI, the core function is economic analysis and modeling, not direct AI/ML model development.

This role is for a Principal Product Manager - Technical at Amazon Brand Stores, focusing on leveraging generative AI to re-imagine shopping experiences. The goal is to deliver personalized, context-aware brand storefronts that drive brand growth and sales. The role involves chartering product direction, collaborating with stakeholders, defining customer experiences, and influencing senior leadership.

Data Engineer II role focused on building and maintaining data pipelines, including GenAI enhanced pipelines, to support AI Agent platforms and various analytics use cases within Ring Agent Platforms at Amazon.

The Language Engineer will focus on dataset construction, linguistic annotation, dialog/semantic schemas, and automatic processing of large datasets to advance natural language processing and machine learning. Responsibilities include designing data collection tasks, analyzing data for insights, building data analysis tools, and collaborating with scientists to evaluate language models.

Software Development Engineer II role focused on building internal and external facing customer experiences and Gen AI solutions for product lifecycle management within Amazon Private Brands. The role involves designing, developing, and maintaining code, collaborating with teams, and identifying opportunities to leverage generative AI for efficiency and product enhancement.

This role leads the strategy, development, and global delivery of AWS Certification exams, focusing on validating cloud expertise. It involves end-to-end portfolio management, from content creation to go-to-market execution. A key aspect is reimagining skills assessment by leveraging AI, adaptive techniques, and psychometric models for continuous validation of cloud skills at scale.

This role focuses on working with venture capital firms and angel investors to accelerate the success of their portfolio companies on AWS. The Senior Startup Investor Manager will identify promising early-stage startups, help them leverage cloud technologies (including generative AI), and provide guidance on cloud architecture and go-to-market strategies. The role involves program management, market signal collection, and evaluating the technical and business potential of startups.

Senior Product Manager Tech role focused on developing ML science-based fraud detection solutions for tax compliance and global regulatory landscapes. The role involves defining product vision, leading development of core capabilities for risk detection, and partnering with various stakeholders to build adaptive governance frameworks and protect Amazon and its sellers from fraud and abuse.

This role focuses on leveraging Generative AI and intelligent agents to analyze large datasets, uncover patterns, and generate data-driven narratives for business decision-making. The engineer will develop AI-powered dashboards and automate the discovery of correlations and causalities.

This role is for a Sr. Business Planning Lead within AWS Sales, Marketing, and Global Services Operations. The primary focus is on workforce planning, resource allocation, and operational effectiveness, with an emphasis on leveraging AI-enabled tools and processes to improve planning accuracy, automate workflows, and generate insights. While the role utilizes AI tools, it does not involve building or shipping AI models.

This role focuses on overseeing and optimizing human-in-the-loop and model-in-the-loop data pipelines for AI solutions, ensuring data quality and providing mentorship. It involves collaborating with AI teams on data collection for LLM training and evaluating AI systems.

This role focuses on providing strategic oversight and mentorship for human-in-the-loop and model-in-the-loop data pipelines, ensuring data quality for LLM training and evaluations. The consultant will also mentor junior team members and collaborate with AI teams to optimize data collection and define benchmarks for GenAI model performance.

This role focuses on providing strategic oversight and mentorship for human-in-the-loop and model-in-the-loop data pipelines, ensuring data quality for LLM training and evaluations. The consultant will also guide junior team members and collaborate with AI teams on data collection approaches.

This role focuses on overseeing and optimizing human-in-the-loop and model-in-the-loop data pipelines for LLM training and evaluations. It involves providing strategic direction, ensuring data quality, mentoring junior team members, and collaborating with AI teams to improve data collection and model performance.

This role is for a Sr Business Development Manager at Amazon, focused on driving growth for Fashion & Fitness brands. The role involves identifying new business opportunities, managing relationships, and leveraging data for decision-making. While not directly building AI, the role is expected to utilize generative AI tools to enhance efficiency and identify opportunities for AI integration in products and workflows.

Principal Security Engineer for AWS Network Services, focusing on securing customer workloads and developing security products. The role involves using AI for security and securing AI workloads, making high-judgment security decisions, coaching junior engineers, and contributing to threat intelligence and network security services like WAF, BOTS, and DDoS Protection. Requires experience in delivering cyber security solutions, creating security strategies, and shipping production code.

Software Development Engineer II (SDE-II) for AWS Applied AI Solutions, specifically focusing on building Amazon Connect Health within the Healthcare AI organization. The role involves designing and developing scalable software systems, writing high-quality code for cloud-based healthcare applications, and collaborating with product managers and applied scientists. The position emphasizes working on data processing, analytics, and machine learning systems to improve healthcare outcomes, reduce costs, and enhance care delivery.

Data Scientist role focused on building data-driven frameworks for personalization and content discovery in Prime Video, leveraging advanced statistical and machine learning techniques to improve customer experience. The role involves end-to-end data science workflows, stakeholder partnership, and communication of findings.

This role is for a Sr. Manager to build and lead a new team of Security Services Specialist Solutions Architects within AWS Global Sales. The team will focus on driving customer adoption of AWS security services, particularly for generative AI and agentic workloads, by acting as a technical bridge between AWS security services and customer needs. The manager will recruit, develop, and lead the team, partner with sales and product teams, and establish thought leadership.

This role is for a Sr. ABM Manager for AWS Federal Civilian customers. The primary focus is on leading high-impact marketing programs to drive awareness, engagement, and pipeline growth within named government accounts. The role involves understanding how AWS capabilities, including generative AI, can transform federal agency missions. It requires strategic vision and hands-on execution, working at the intersection of marketing, field sales, and government relations.

This role focuses on developing sales representatives by integrating AI-powered tools and behavioral coaching into a flagship development program. The Senior Enablement Lead will own program design, facilitation, and iteration, ensuring alignment with enterprise AI adoption goals and driving measurable improvements in sales performance and AI tool adoption.

Product Marketing Manager for Amazon US Hispanic Marketing, focusing on making Amazon.com the best place for Spanish language customers to shop online. This role involves designing and managing inclusive marketing initiatives, strategic project ownership, and providing visibility to senior leadership. The PMM will work cross-functionally with various teams and external agencies to develop and execute marketing plans, content strategies, and campaigns, with a focus on multicultural and young adult consumers.

This role focuses on marketing planning and analytics, driving strategic marketing performance through data-informed decisions. It involves developing and maintaining forecasting models, performance tracking systems, and analytical frameworks to guide marketing investments. The position requires strong analytical skills and cross-functional collaboration to optimize performance across channels.

This role is for a Software Development Manager at Amazon Prime Video, leading a team focused on personalization and growth through AI/ML systems for content recommendations across various platforms. The manager will oversee product, user experience, design, and technology initiatives, working with SDEs on design, implementation, and delivery of large technology initiatives. The team leverages AI/ML to drive content discovery and engagement.

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.

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.