Amazon

This role is for a Senior Product Manager, Technical Products, focusing on Pay by Invoice within Amazon's fintech division. The core responsibility is to lead the development of agentic AI solutions to automate financial processes and improve invoice payments for B2B customers. The role involves defining product requirements, partnering with engineering on scaling architecture, driving cross-functional alignment, and creating new business ideas in the fintech space.

Senior Product Manager for Amazon Prime US, focusing on driving membership acquisition strategies. This role involves defining product roadmaps, partnering with research teams for customer insights, measuring performance, and collaborating with marketing and other internal teams. While the role mentions using generative AI tools for workflow efficiency and exploring their potential to enhance products, it is not core to the role's responsibilities.

The Senior Solutions Developer, Prototyping and Customer Engineering (PACE) role at Amazon Web Services (AWS) focuses on building prototypes and early-stage solutions for enterprise customers, primarily leveraging Generative AI. The role requires a strong technical background in cloud architectures and emerging technologies, with an emphasis on hands-on development, customer engagement, and problem-solving in ambiguous situations. The developer will work in small teams to rapidly iterate on solutions addressing specific customer use cases, often exploring new technical grounds.

This role is for a Senior Manager of Customer Solutions Management within Amazon's Energy and Utilities sector. The primary focus is on accelerating cloud and AI adoption for customers, leading a team of CSMs, and guiding complex implementations. The role involves translating technical concepts into business outcomes, managing risks, building scalable mechanisms, and driving the adoption of Generative AI within the CSM function. While AI is a key focus for customer adoption and internal scaling, the role itself is not directly building AI models but rather enabling customers and internal teams to leverage AI solutions.

Group Manager for Just Walk Out Technology, focusing on people and site management within Amazon's Applied AI Solutions organization. The role involves leading a team of managers, ensuring operational efficiency, and driving process improvements for a customer-facing AI product.

Support Engineer role focused on integrating Generative AI and Agentic systems into daily workflows to enhance designs and improve builder productivity. The role involves end-to-end development, technical guidance, and problem resolution within Amazon Pay.

This role is for a Principal TPM at Amazon, focusing on leading initiatives related to Agentic AI and next-generation intelligent experiences for Alexa. The TPM will drive the development and integration of Generative, Agentic, and Real-time AI technologies, collaborating with cross-functional teams to deliver seamless user experiences. While the role involves working with advanced AI, the core responsibilities are program management, roadmap prioritization, and process improvement, rather than direct AI/ML model development or research.

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.

Lead high scope technical projects in Intelligent Talent Acquisition (ITA) Data team, focusing on data strategy, design, and hands-on development of complex products, mentoring data engineers, and ensuring high-quality data provision. Partner with stakeholders to develop scalable interoperability solutions.

This role focuses on building measurement and experimentation frameworks for lifecycle marketing campaigns within Amazon's EU Prime and Marketing Analytics & Science (PRIMAS) team. The scientist will design and execute experiments to measure campaign effectiveness, establish experimental standards, and apply causal inference methods to guide marketing strategy and investment decisions. The role involves working with various marketing channels and platforms, analyzing results, and providing optimization recommendations.

This role focuses on auditing and ensuring the quality of machine learning data workflows. The Senior Quality Auditor will become an expert in specific workflows, lead teams of auditors, execute complex audits, and provide analysis and insights for optimization. The role requires hands-on audit execution and leadership experience in technical domains.

This role focuses on auditing and ensuring the quality of machine learning data workflows. The Senior Quality Auditor will become an expert in specific workflows, lead audit teams, execute complex audits, and provide analysis and insights for optimization. It requires experience with ML data workflows and leadership.

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.

Data Scientist III role focused on owning data science elements for products, including data-based decision making, product performance optimization, and tracking. Responsibilities include translating business problems into data requirements, designing and implementing analysis projects, owning analysis, modeling, and system design, and communicating results. Requires experience building statistical and machine learning models, performing complex data analyses with scripting languages, and communicating with stakeholders.

This role is a Senior Specialist Sales Representative for Independent Software Vendors (ISVs) focusing on Generative AI and Machine Learning within Amazon Web Services (AWS). The primary responsibility is to drive adoption and revenue growth of AWS's Generative AI services by identifying customer opportunities, understanding their needs, and positioning AWS solutions. The role involves consultative selling, building trust with various customer personas (Line of Business, Data Science, IT), and developing sales strategies. While the role is deeply involved with AI/ML services, the core function is sales and business development, not direct AI/ML model development or research.

Data Scientist III role focused on owning data science elements for products, including data-based decision making, product performance optimization, and tracking. Responsibilities include translating business problems into data requirements, designing and implementing scientific analysis projects, and developing data science solutions. Requires experience in building statistical and machine learning models, complex data analysis with scripting languages, and communication with stakeholders.

This role is a sales specialist focused on driving the adoption of AWS Generative AI services within the automotive and manufacturing industries. The primary responsibility is to understand customer needs, articulate the value of AWS AI solutions, and guide customers through the sales lifecycle from ideation to production. The role involves collaborating with account teams, solution architects, and partners to embed and deploy AWS Generative AI solutions, ultimately unlocking new value streams and solving business problems for customers.

Product Manager for AWS Private Pricing, focusing on tools and technology enhancements, including generative AI, to improve internal and external customer experience and drive growth. Owns the full product lifecycle for these tools.

This role is for a Sr. Technical Evangelist focused on the US Public Sector, specifically government and defense. The primary responsibility is to translate complex cloud and AI architectures into compelling narratives and presentations for public sector leaders, showcasing how AWS services, including AI, can transform their operations. The role involves creating and delivering technical content, engaging with government agencies, and acting as a public-facing evangelist. While AI is a key component of the value proposition, the role itself is not about building or shipping AI models, but rather about evangelizing their use within the public sector context.

This role is for a Principal Evangelist at AWS Startup Marketing, focusing on showcasing how startups can leverage AWS cloud and AI services to accelerate their growth. The individual will create and present technical content, lead engagements with startups and VC firms, and act as a public-facing evangelist. While the role involves discussing AI services and generative AI tools, the core function is marketing and evangelism, not direct AI/ML model development or deployment.

The Principal Product Manager-Technical will lead monetization initiatives for Alexa Ads, defining product strategy, driving cross-organizational execution, shaping advertiser experience, and driving business impact. The role involves partnering with engineering to evaluate ad tech capabilities, including generative AI applications, and understanding ad serving architectures. This is a product role within the consumer domain, focused on shipping an AI-enabled product (Alexa Ads).

This role is for an Account Manager at Amazon Web Services (AWS) focused on startups. The primary responsibility is to drive revenue and market share by engaging with startup clients, understanding their unique needs, and helping them leverage AWS technologies, including AI and ML, to innovate. The role involves creating value propositions, building long-term strategic relationships, and working with internal AWS teams to execute go-to-market strategies.

Support Engineer role focused on Linux systems within AWS Region Services, involving troubleshooting, customer interaction, service improvement feedback, and using internal AI systems for problem-solving. The role emphasizes operational excellence and security within sensitive Australian government workloads.

This role focuses on ensuring data quality and strategic oversight for human-in-the-loop and model-in-the-loop data pipelines that support LLM training. The consultant will provide domain expertise, mentorship, and collaborate with AI teams to optimize data collection and evaluation processes.

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.

Solutions Architect for AWS in Copenhagen, empowering enterprises with cloud technologies. Focuses on building technical relationships, advising on cloud value, security, cost, performance, and operational efficiency. Acts as a customer voice for product roadmap, creates reference architectures, and evangelizes AWS technology through content and speaking engagements. Requires experience with Generative AI and cloud architecture.

Data Scientist on the Core Tech Private Brands Analytics team, responsible for building and improving forecasting and planning models for Amazon Private Brands. This involves end-to-end pipeline development, replacing manual processes with code-driven solutions, and evaluating model accuracy. The role partners with business, science, and tech stakeholders and contributes to the organization's AI framework and experimentation rigor.

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.

Software Development Engineer role focused on building next-generation embedded systems for home security, with a significant emphasis on leveraging and developing AI agents and Generative AI tools to revolutionize software development workflows. The role involves working with AI-powered development tools and contributing to AI-driven development practices within a consumer product context.

Software Development Engineer role focused on building next-generation embedded systems for home security, with a significant emphasis on leveraging and developing AI agents and Generative AI tools to revolutionize software development workflows. The role involves working with AI-powered development tools and contributing to AI-driven development practices within a consumer product context.

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.

This role is for a Senior Startup Account Manager at AWS, focusing on driving growth and adoption of AWS services among well-funded startups in ASEAN. The candidate will work with technical teams and stakeholders to develop go-to-market strategies, accelerate adoption, and ensure customer success. While the role involves discussing technologies like generative AI and machine learning, the core responsibility is sales and account management, not building or researching AI models.

This role focuses on driving customer success for ISVs undergoing cloud, SaaS, and AI transformations. The primary responsibility is to ensure clients achieve competitive advantage by adopting AWS services, migrating workloads, and accelerating the adoption of AI and agentic capabilities to achieve measurable business outcomes. The role involves connecting clients with AWS expertise, orchestrating engagements across various AWS teams, and translating technical solutions into business value.

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.

Sr. Technical Program Manager for Alexa Audio, focusing on delivering global audio experiences and integrating Generative AI/LLM capabilities into consumer-facing products. Responsibilities include managing partner relationships, developing roadmaps, translating needs into requirements, and driving project schedules from design to release.

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.

The Senior Technical Program Manager will drive the delivery of an enterprise-wide workforce planning platform that replaces offline, spreadsheet-based planning with integrated, AI-powered experiences. This role will leverage machine learning and agentic AI to provide data-driven workforce decisions at Amazon scale, integrating with Finance systems. The platform is launching across major business units and will be the system of record for workforce planning. The role involves managing cross-functional dependencies, leading launch readiness, tracking risks, communicating with senior leadership, and partnering with Product and Science teams.

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 improving catalog quality for the Books India team at Amazon by analyzing data, identifying trends, and collaborating with stakeholders. While the role leverages AI/ML tools, it does not involve building or shipping AI models.

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.