Amazon

This role focuses on driving data-driven decision-making and operational excellence for the AWS Specialist and Partner organization within AWS Industries. The Specialist Strategy & Sales Operations Lead will act as a strategic business partner, translating complex data into actionable insights, shaping strategic direction, and managing mission-critical frameworks like territories, quota, and forecasting. A key aspect of the role involves leveraging AI and ML technologies to enhance sales processes and decision-making, ensuring responsible implementation to drive business impact and augment the sales organization's productivity.

This role is a business-focused technologist who partners with customers and internal AWS teams to develop strategies and roadmaps for leveraging generative AI and machine learning to enhance business outcomes. The role involves understanding customer needs, identifying opportunities, and driving adoption of AWS AI services, with a strong emphasis on connecting business value to scalable solutions.

This role is for a Sr. Technical Program Manager to lead a CRM initiative focused on customer behavior analytics. The program aims to revolutionize customer understanding and engagement using data science, machine learning, and personalization technologies. The TPM will drive technical strategy, roadmap, and execution of cross-functional projects, collaborating with various teams to deliver innovative customer experiences and drive business growth. While the role involves working with data science and ML, it is primarily a product/program management role focused on delivering customer-facing features and business impact, not core AI/ML model development.

Economist role focused on applying economic methods, statistics, and machine learning to improve business processes and employee well-being. Involves estimating models, designing experiments, and transforming prototypes into scalable solutions, working closely with engineers and computer scientists.

This is a Software Development Engineer role within AWS, with a specialization in Artificial Intelligence/Machine Learning. The role involves designing, developing, and maintaining code for AI/ML systems, collaborating with cross-functional teams, and potentially working with ML frameworks and LLM fundamentals. The primary focus is on the engineering aspects of AI/ML, likely involving serving and infrastructure.

This role is for a Senior Product Manager, Technical at Amazon, focused on transforming the global promotions and events experience for millions of customers. The role involves leading a new initiative, defining product roadmaps, designing experiments, and working with technical teams to deliver scalable solutions. While the role mentions using generative AI tools to enhance workflow efficiency and identifying opportunities for AI to enhance products, it is not core to the role's responsibilities, which are primarily product management and strategy for customer-facing promotions.

This role is for a Senior Product Manager focused on enhancing the shopping experience for Spanish and French-speaking customers in North America. The role involves identifying gaps in the customer journey, driving solutions, and envisioning innovative experiences leveraging AI/ML and generative AI. The primary focus is on delivering improved customer experiences within the consumer domain, with AI/ML being a tool to achieve product goals rather than the core craft of the role.

This role focuses on driving the enterprise-scale adoption of Amazon Quick, an AI-powered assistant. The Sr. Technical Architect will define and maintain reference architectures, build sprint readiness assessments, and drive technical quality across teams. They will also act as a bridge between field delivery and the product organization, translating customer blockers into requirements and coordinating engineering requests. The role involves developing technical underpinnings for workforce transformation, including workload patterns, transition criteria, and success metrics dashboards, all within the framework of the "Live in 45" methodology.

This role is for a Senior Business Intelligence Engineer focused on Sales Planning & Policy within AWS. The primary responsibilities involve working with large datasets, writing SQL queries, building data models with Python, and partnering with business owners to integrate ML/GenAI into scaling programs. The role emphasizes data analysis, reporting, KPI definition, and driving business decisions through insights. While the role mentions integrating ML/GenAI, its core function is BI engineering and data analysis, not direct AI/ML model development.

This role focuses on designing and developing learning modules using AI tools and methodologies to accelerate content creation and transform learning experiences for associates. The primary goal is to create AI-enhanced learning solutions that impact a large number of users.

Data Engineer II role at AWS Professional Services focused on building and scaling data products, including AI/ML and generative AI tools, for enterprise customers. Responsibilities include developing ETL pipelines, data models, and data integration using SQL, Python, and AWS services, with a focus on scalability, automation, and platform reliability.

This role is for an AI & Emerging Tech Specialist within Amazon Web Services (AWS) National Security Emerging Technology team. The primary focus is on sales and customer engagement, developing use cases, driving adoption, and shaping go-to-market strategies for emerging technologies like generative AI and ML within US Defense and Intelligence agencies. The role requires a strong understanding of customer mission needs and the ability to leverage AWS services to create solutions. It involves collaboration with account teams, engineering leaders, and product teams, and requires a high-level security clearance.

Digital Marketing Manager responsible for designing, testing, and scaling paid media campaigns to drive new seller acquisition for Amazon. This role involves managing paid search campaigns, executing experiments, optimizing based on performance analysis, and contributing to strategic initiatives. The ideal candidate can operate at both strategic and tactical levels, leveraging data-driven decisions to improve customer acquisition and campaign performance.

This role focuses on leveraging advanced data analysis and AI tools, including agentic AI systems, to detect and prevent fraud and abuse across Amazon's e-commerce platforms. The specialist will manage critical projects, analyze complex datasets, identify risks and gaps in existing mechanisms, and develop scalable solutions to endemic problems. The role requires strong analytical skills in SQL and Python, experience with AI tools, and the ability to manage projects from identification to solution scaling.

Product Manager Technical role focused on the Personal Information Domain product vision, strategy, and roadmap for Amazon's global workforce onboarding experience. The role involves defining how personal information is collected, stored, validated, and distributed, leveraging AI/ML for data quality automation and identity validation. It requires collaboration with engineering, legal, and compliance teams to drive self-service experiences and a centralized data platform.

Software Development Engineer II role focused on building customer service tooling and AI agentic workflows for online fashion retailers. The role involves developing critical services, leveraging AI tools to augment work, and building AI agents for customer service scenarios, impacting millions of customers.

Data Platform Engineer for Fauna Robotics, focused on building foundational data systems for robotics and ML development. This role involves designing and implementing infrastructure for data collection, storage, processing, and transformation from robot sensors, video, and logs, enabling ML training and fleet performance monitoring.

Product Marketing Manager for Amazon Connect, focusing on enterprise AI and generative AI solutions. The role involves shaping go-to-market strategy, developing positioning and messaging, creating technical content, and driving field enablement for AI chat, research agents, workflow automation, and analytics capabilities.

This role is for a Principal Product Manager focused on Product Strategy & Business Operations within Amazon's Data Intelligence team, which advances AI capabilities. The role involves owning the rhythm of business, strategic planning, reporting, and cross-functional coordination to ensure the organization runs effectively and delivers results. While the team builds AI solutions, this specific role is operational and strategic, focusing on process and reporting rather than direct AI/ML model development.

Principal Product Manager, Technical Product Strategy & Operations for Amazon Customer Service's Data & Context Intelligence team. This role drives technical product strategy and operations for AI-native solutions, acting as chief of staff to senior leadership. Responsibilities include aligning product strategy, operational priorities, and cross-functional execution, defining product portfolio strategy, orchestrating cross-functional execution, and building operational excellence. The team builds data solutions and contextual intelligence using Agentic AI, Generative AI, NLP, RL, Knowledge Graphs, and Multi-Agent Architectures to improve customer experiences.

This role involves developing bare metal firmware for custom ASIC-based ML Accelerator chips, focusing on hardware/software co-design for machine learning systems. The primary responsibility is to drive neural network model execution on these custom silicon solutions.

Principal Technical Product Manager for quantitative analysis products within Decision Science at Amazon Devices. This role bridges science teams and business stakeholders, translating complex model outputs into actionable business strategies for key device portfolios. The ideal candidate has scientific fluency, product management excellence, and business acumen to shape how Amazon Devices uses quantitative science for decision-making, from forecasting to portfolio optimization.

Product Marketing Manager for Amazon Connect, a cloud contact center solution. The role involves shaping go-to-market strategy, crafting compelling content, understanding customers and the market, engaging with stakeholders, planning and executing marketing initiatives, and working with field and marketing teams to drive global initiatives. The role leverages AI and machine learning technologies that serve millions of customers.

Principal Data Scientist for Prime Video Personalization and Discovery team, focusing on developing next-generation measurement and experimentation systems to influence customer content discovery. Requires experience in building large-scale experiment-based measurement systems, strong stakeholder communication, and balancing technical rigor with delivery speed.

This role focuses on building and optimizing large-scale distributed systems for Amazon's Sponsored Products and Brands advertising, with a specific emphasis on applying Generative AI (GenAI) and Large Language Models (LLMs) to enhance ad relevance, personalization, and shopping experiences. The engineer will work on the full stack, from backend services to shopper-facing interfaces, aiming to integrate AI seamlessly into the advertising ecosystem.

This role is for a Senior Program Manager in Amazon Logistics (AMZL) focusing on Last Mile technology. The SME will partner with technology and operations teams to prioritize, develop, optimize, and sustain technology and processes. While the role mentions leveraging AI and ML to transform decision-making and automate human decisions, the core responsibility is program management, defining requirements, prioritizing enhancements, and driving adoption of technology solutions within the last mile network. The primary output is improved operational processes and technology adoption, not the direct building or research of AI models themselves.

This role is for a Principal Design Technologist focused on designing and building AI-native experiences using generative AI and LLMs. The role involves hands-on prototyping, strategic technical leadership, and cross-functional collaboration to shape the future of AI-powered user experiences within Amazon's Velocity Labs.

Senior Applied Scientist role focused on developing and optimizing machine learning and GenAI solutions for Amazon's Last Mile delivery network. The role involves building mathematical models, improving algorithms, and contributing to production systems to optimize delivery capacity, customer experience, and operational costs. Requires strong analytical skills, experience with ML model development, and ability to work with large datasets.

This role is for a Senior Partner Solutions Architect with domain expertise in the Healthcare industry, focusing on shaping and evangelizing repeatable industry solutions built on AWS. The role involves working with partners and customers to accelerate cloud adoption, modernize core systems, and develop new healthcare solutions, including those leveraging Generative AI and Agentic technologies. The ideal candidate will have deep technical skills in software architecture, data privacy, security, and healthcare compliance, along with strong customer-facing and sales skills.

This role focuses on Go-To-Market (GTM) strategy and execution for analytics services within the Media, Entertainment, Games & Sports industry on AWS. The specialist will collaborate with sales, partners, and marketing teams to drive adoption and revenue, leveraging expertise in Data & AI technologies, including Generative AI workloads. The role involves understanding customer problems, leading cross-functional initiatives, developing business plans, and providing market feedback to internal teams. While the role involves working with AI/ML technologies and deploying Generative AI workloads, the core function is GTM strategy and sales enablement, not direct AI/ML model development or research.

Program Manager for AWS Legal, focusing on developing and implementing systems and processes for regulatory compliance. The role involves cross-functional collaboration, project management, and leveraging AI tools to improve efficiency in compliance processes.

This role focuses on owning the data science elements of various products, including data-based decision making, product performance optimization, and tracking. The Data Scientist III will work with product managers to drive product design and build planning, translate business problems into data requirements and metrics, and initiate the design, development, and implementation of scientific analysis projects. Responsibilities include owning analysis, modeling, system design, and development of data science solutions, as well as communicating results to the business and building consensus on data strategy.

Research Scientist role focused on developing forecasting and optimization models using ML and GenAI to support real estate and store planning decisions for Amazon's grocery business. The role involves analyzing data, building end-to-end solutions, and presenting findings to leadership.

This role focuses on designing and implementing cloud architectures for Healthcare and Life Sciences (HCLS) customers using AWS services, with a significant emphasis on AI/ML and Generative AI use cases. The Solutions Architect will build prototypes, conduct architectural discussions, and support customer adoption journeys, acting as a technical liaison between customers and AWS.

Actuary role focused on building underwriting and claims models, developing forecasts, and creating cloud-based modeling tools for risk management and insurance programs within Amazon's global operations. Requires strong data science and machine learning modeling experience.

This role is for a Data Engineer on the Worldwide Grocery Store Tech (WWGST) Data & Analytics team. The primary focus is on architecting data infrastructures and developing advanced data pipelines. The team is described as an 'AI-first team' aiming to deliver analytics using AI in 2026. The role involves collaborating with Data Scientists to implement advanced analytics algorithms and machine learning, but the core responsibilities are data engineering.

This role focuses on developing and deploying machine learning models and analytical frameworks to optimize AWS data center infrastructure performance, including availability, efficiency, and reliability. The Senior Data Scientist will work with large-scale operational datasets, collaborate with various engineering teams, and translate complex findings into actionable recommendations for leadership. The role involves the full data science workflow, from data acquisition to production deployment, with an emphasis on scalable solutions and measurable impact.

This role focuses on defining and executing Go-to-Market (GTM) strategies for Amazon Bedrock, a service hosting foundation models. The responsibilities include accelerating customer adoption, influencing product direction, developing joint GTM plans with model providers, customer engagements, evangelism, and creating demos/proof-of-concepts. The role requires a blend of business and technology expertise, with a strong understanding of the Generative AI market and use cases, to engage with customers from startups to enterprises and internal AWS teams.

Senior Product Manager for Amazon Aurora, focusing on defining product requirements and roadmaps for database services, with an emphasis on integrating generative AI capabilities to improve user experiences and product features.

Product Manager for Amazon Aurora, focusing on defining product strategy, requirements, and go-to-market plans for database services, with an emphasis on integrating generative AI capabilities.

This role focuses on leveraging econometrics and ML models to optimize advertising strategies, influence business decisions, and perform hands-on analysis with large datasets. The Economist will work closely with software engineers to productionize models and run A/B experiments, impacting millions of customers.

Senior Product Manager for Amazon Aurora, focusing on defining product requirements and roadmaps for database services, with an emphasis on integrating generative AI capabilities to improve user experiences and product features.

Security Engineer role focused on securing foundational AWS compute and networking systems, including those powering generative AI workloads. The role involves designing security controls, providing architectural guidance, building automated security guardrails, and leveraging AI tools to enhance security assessments and threat detection. While the role touches on AI-native development and uses AI tools, its core craft is security engineering for cloud infrastructure, not building AI models or agents.

This role is for a Sr. Technical Program Manager at Amazon Prime Video, focusing on Partner Experience Engineering. The role involves leading core programs for Prime Video partners (studios, content creators) to ingest content, working across multiple organizations, and acting as a technical representative with external partners. A key aspect is applying ML and Generative AI capabilities to improve partner and customer experiences in the entertainment supply chain. The role requires planning for a 30+ developer team and inventing using appropriate frameworks and technologies.

This role is a Senior Solutions Architect focused on helping Independent Software Vendors (ISVs) leverage AWS cloud capabilities, particularly in Data, Analytics, and Generative AI. The architect will own the technical relationship with customers, provide strategic guidance, design reference architectures, and drive adoption of AWS services to enhance customer offerings and accelerate innovation.

Software Development Manager for Alexa Daily Essentials, leading teams in Customer Artifact Management (ingesting/processing customer content like PDFs, images), Notes & Memory (intelligence layer for remembering/reasoning over customer info), and GenAI Tooling (internal GenAI tools for engineering productivity). The role owns full-stack development, including backend systems and ML pipelines, and drives GenAI adoption.

This role focuses on working with venture capital firms and angel investors to accelerate the success of their portfolio companies on AWS. The 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 tools and support to build products on AWS infrastructure. The core function is to facilitate growth and innovation for startups within the AWS ecosystem, acting as a technical advisor and supporting investor-focused programs.

The role focuses on building data models and ML data infrastructure to power pricing algorithms and improve operational/reporting efficiency using GenAI solutions. It involves designing and implementing data pipelines, managing AWS resources, and transforming data from various sources.