Amazon

Senior Product Manager for Amazon Global Logistics, focusing on pricing and revenue management systems. The role involves defining product strategy, designing pricing mechanisms, partnering with data science on ML models, and driving cross-functional initiatives to deliver end-to-end pricing solutions. The team is building pricing systems from the ground up.

This role advises enterprise customers on AI and data adoption, shapes go-to-market strategies, and acts as a liaison between customers and global service/product teams to channel feedback for product roadmap prioritization. The role requires deep subject-matter expertise in AI and data technologies and the ability to translate technical trends into business insights.

UX Manager for Amazon Ads on Devices (Fire TV, Fire Tablet, Alexa, Echo) responsible for end-to-end advertising experiences. The role involves owning design strategy, driving cross-publisher alignment, and integrating AI into the design process to accelerate delivery and unlock creative possibilities. Focus on shipping high-quality, native ad experiences that respect customer experience and deliver advertiser results.

UX Manager for Amazon Ads, leading a team to create display advertising experiences. The role involves integrating AI into the design process to accelerate delivery and enhance quality, focusing on shipping high-quality experiences on time and at speed.

This role focuses on building AI-powered prototype solutions, agents, and automations to improve marketer productivity within Amazon Ads Marketing. It involves transforming UX and marketing workflow ideas into working code using AI-assisted development tools, and shipping AI use cases from pilot to production. The role also involves evaluating AI tools and developing reusable prototyping methods and agent frameworks.

This role is for a Business Intelligence Engineer on the GO-AI team within Amazon Robotics. The primary focus is on developing foundation models for complex visual reasoning tasks, but the role itself is centered around data analysis, ETL pipeline design, and dashboard creation to support leadership decision-making. While the team works with AI and foundation models, this specific role is more on the BI/data engineering side, using AI tools and insights rather than directly building or shipping AI models.

This role focuses on building and operating critical infrastructure services for Amazon's retail platform, dealing with massive traffic volumes in real-time using advanced machine learning systems and distributed infrastructure. The core responsibility involves improving operational excellence, performance, and monitoring of these services.

This role focuses on designing and implementing AI solutions for pharmaceutical customers within AWS, specifically leveraging agentic AI applications across the clinical trial lifecycle. The role involves collaborating with sales and delivery teams to ensure successful solution implementations and acting as a trusted advisor on emerging technologies. While AI is mentioned, the core function is solution architecture and customer engagement within the healthcare domain, not direct AI model development.

Software Development Engineer role focused on designing, architecting, and implementing machine learning solutions for audio ad systems at Audible. The role involves optimizing ad serving pipelines, real-time ad serving, and conversational AI integration, with a focus on scalable systems and customer experience.

Solutions Architect role focused on driving enterprise AI and agentic adoption by helping customers design and scale multi-agent workflows, generative AI applications, and AI-powered automation on AWS. This role involves guiding organizations through cloud migration and modernization, accelerating deployment from experimentation to enterprise-wide, and working with sales and partner networks.

The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, video data, and maintaining strict confidentiality. This role involves delivering high-quality labeled data using provided guidelines and in-house tools to support the development and deployment of AI responsibly. The associate will analyze root causes, identify error patterns, and propose solutions to enhance labeling quality and operational efficiency.

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

The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, and video data. This role involves working with diverse data types, delivering high-quality labeled data using in-house tools, and analyzing data to improve labeling tasks. The associate will also identify process issues and provide floor support.

This role focuses on foundational labeling functions for generative AI, including dialogue evaluation across text, speech, audio, video, and image data. The associate will work with in-house tools to deliver high-quality labeled data, meet KPIs, and identify process improvements. The goal is to support the development and responsible deployment of large language models and generative AI across Amazon's businesses.

Data Engineer II role focused on designing, building, and evolving data capabilities for Sales Planning and Compensation (SPC) within AWS. The role involves end-to-end data solutions, including ingestion, transformation, and analytics, with an emphasis on incorporating generative AI practices to enhance efficiency and decision-making. Key responsibilities include developing data pipelines, building data models, optimizing infrastructure, and leveraging AWS GenAI services like Amazon Bedrock and Amazon Q.

Software Development Engineer role focused on applying AI/ML to complex business problems within the Vendor Funding team at Amazon. The role involves leveraging generative AI tools to enhance workflow efficiency and integrate AI solutions into products and services to drive business value. While the company is exploring AI integration, the core responsibilities are in software development and applying existing AI tools rather than building core AI models.

This role focuses on creating technical content (tutorials, guides, demos) to help developers understand and adopt AI-assisted development tools, specifically Amazon Q Developer. The goal is to improve developer productivity and showcase practical workflows. It involves hands-on coding, community engagement, and influencing product roadmaps based on developer feedback, but has no sales quota or revenue targets.

This role is for a Back End Data Engineer focused on designing, developing, testing, and deploying Supply Chain Application and Process Automation within AWS Infrastructure Services. The engineer will collaborate with business leaders, BI engineers, and data scientists to architect solutions, identify automation opportunities, and build scalable applications using AWS technologies. A key responsibility is enhancing analytical maturity by incorporating predictive and prescriptive analytics using machine learning and optimization techniques, and designing data pipelines for ETL/ELT processes.

Solutions Architect role focused on helping SMB and Enterprise customers across LATAM with their cloud journey, including migration, modernization, and building cloud-native solutions. The role involves exploring and demonstrating how GenAI and Agentic AI can drive business value, turning ideas into prototypes and production-ready architectures. It requires strong technical depth, customer partnership, and the ability to communicate complex ideas.

Senior Solutions Architect for AWS Public Sector in Singapore, focusing on designing and implementing cloud-based solutions that meet customer business needs. The role involves collaborating with customers and internal teams to accelerate the adoption of AWS technologies, including AI/ML, microservices, and containers. Key responsibilities include acting as a trusted technical advisor, evangelizing AWS services through presentations and content creation, and shaping product direction based on customer feedback. The role requires strong technical and interpersonal skills, with an emphasis on learning new technologies and conveying business value.

Software Development Manager for Prime Video's Title Lifecycle Presentation & Science team. This role leads a team of engineers and applied scientists responsible for presenting content to customers, using applied science, experimentation, and data signals. The manager will own team execution, delivery, technical direction, drive experimentation, manage ML-powered feature delivery, and navigate cross-team dependencies. Requires experience leading combined engineering/science teams, delivering through experimentation, managing dependencies, and strong technical judgment in distributed systems and ML productionization.

Director of AWS Database, Analytics & Storage Solutions Architecture leading a global team to drive technical customer engagement, solution design, and adoption across AWS's data portfolio, with a focus on preparing data for the agentic AI era and leveraging AI/agentic technologies to enhance SA effectiveness.

Amazon is seeking a Supply Chain Sr. Data Scientist to develop models, tools, and processes for optimizing logistics in Brazil. The role involves continuous improvement projects, developing optimization models for planning and high-demand periods, and automating manual processes. The ideal candidate has strong quantitative skills and experience with complex datasets, focusing on end-to-end supply chain considerations.

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.

This role is a Team Manager for Data Services within Amazon's Artificial General Intelligence (AGI) organization. The team focuses on data creation, curation, and analytics to support the development and training of Alexa AI, specifically improving speech recognition and language understanding capabilities. The manager will oversee daily operations, hiring, training, performance monitoring, scheduling, and process improvement, working closely with ML Science teams. While the team supports AI development, the manager's core responsibilities are operational and people management, not direct AI/ML model building.

Product Marketing Manager for AWS, focusing on AI app and agent building products like Amazon Bedrock. The role involves translating complex cloud solutions into customer value, shaping product strategy, developing messaging, and acting as a product evangelist. Requires a blend of technical and business strategy skills to influence product roadmaps and drive go-to-market strategies for AI offerings.

Solution Architect for startups at AWS, focusing on helping early-stage companies build scalable and secure cloud architectures, with a focus on Generative AI and Cloud Computing.

Solution Architect for startups, focusing on AWS cloud adoption and Generative AI. The role involves working with early-stage companies to design scalable and secure architectures, acting as a trusted advisor, and advocating for product improvements. It also includes creating technical content and presenting at events.

This role is for a Senior Solutions Architect at AWS, focusing on supporting early-stage startups in building scalable and secure architectures on the AWS cloud. The role involves working directly with customers, making technical decisions, advocating for product needs, and creating technical content. While Generative AI and Cloud Computing are mentioned, the core function is not AI/ML model development but rather enabling customers to leverage cloud services, including AI services.

This role is for a Legal Program Manager at Twitch, responsible for managing legal compliance initiatives and driving the adoption of AI-powered solutions within the legal team. The role involves planning, coordinating, and tracking initiatives, translating legal recommendations into actionable workstreams, and facilitating stakeholder meetings. While the role focuses on deploying AI tools, it is not a core AI/ML development role.

Sr. Technical Program Manager for Amazon Customer Service, focusing on scoping, planning, and execution of complex, cross-functional projects. The role involves partnering with engineering teams to deliver self-service automation products based on generative AI, aiming to empower customers to resolve issues quickly and efficiently.

This role is for a Senior Strategic Supply Chain Manager at Amazon Private Brands. The primary focus is on owning supply chain strategy and execution for import-heavy portfolios, optimizing availability, speed, and operational excellence. Key responsibilities include managing inventory health, auditing buying and forecasting models, driving process improvements, and identifying cost optimization initiatives. The role involves partnering with global and cross-functional teams, leveraging data-driven decision making, and utilizing AI-powered tools for monitoring and automation. While AI tools are used, the core craft is supply chain management, not AI/ML model development.

Software Development Manager for Amazon's Merch on Demand business, leading a team responsible for the Merch Portal and Kit Your Team programs. The role involves managing engineers, owning technical vision, driving expansion into new markets, and operating large-scale production systems. While the team utilizes AI for store creation, the core focus is on product development and management of existing large-scale systems.

This role is for a Senior Product Manager - Tech at Amazon, focusing on Cross Border and International Expansions. The core responsibility is to drive product strategy, roadmap planning, and end-to-end execution for complex initiatives. While the role is primarily product management, it explicitly mentions leveraging generative AI tools to enhance workflow efficiency, craft prompts, evaluate AI outputs, and integrate AI solutions into products and services, indicating an AI-adjacent function.

This role involves working with early-stage generative AI startups to help them leverage AWS technology for developing, training, tuning, and deploying foundation models. The role requires providing technical guidance, architecting solutions, supporting the adoption of AWS services, and advocating for customer needs with product teams. It also involves creating technical content and presenting at events.

This role focuses on data science for Prime Video Sports, shaping customer discovery and experience through measurement frameworks, experimentation systems, and analytical foundations for Search, Recommendations, and live broadcasts. It involves large-scale experimentation, novel measurement methodologies, and data-driven decisions to address challenges in live, time-sensitive content and customer engagement.

This role focuses on building Business Intelligence solutions, including AI-powered agents and dashboards, to drive operational excellence and automate processes within Amazon's HR and AWS Region Services. It involves data engineering, ETL pipeline development, and leveraging AI/ML use cases to enhance workforce analytics and reporting.

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 primary focus is on supporting initiatives between the investment community and AWS to help startups grow.

Product Marketing Manager for Amazon credit cards, leading content optimization (A/B testing) on a proprietary ML advertising platform. Responsibilities include owning a roadmap, building tests, scaling learnings, and improving customer conversion across the acquisition funnel. This role involves partnering with marketers, data scientists, designers, and product managers, with a focus on regulatory and compliance requirements.

This role focuses on developing and maintaining product knowledge ontologies and taxonomies for Amazon's e-commerce platform. The Ontologist will create semantically rich data models, ensure machine ingestion and inference capabilities, and leverage generative AI for schema creation. The goal is to optimize product discovery and customer experience by understanding customer intent and product data.

This role focuses on building and operating large-scale data processing systems that power catalog intelligence across Amazon. It involves applying machine learning and deep learning algorithms to evaluate and enrich product data, enabling data-backed decisions and improving customer experience. The role requires developing data processing pipelines, Information Retrieval (IR) systems, and handling diverse data streams at Amazon's global scale.

This role is for a Sr. Solutions Architect in Healthcare & Life Sciences (HCLS) at AWS. The primary focus is on designing and architecting cloud solutions for HCLS customers, with a significant emphasis on leveraging Artificial Intelligence, Machine Learning, and Generative AI to address industry-specific challenges and accelerate adoption of AWS services. The role involves customer-facing technical design guidance, prototyping, and supporting migration efforts, with a specific mention of building Generative AI prototypes for drug discovery.

This role is for a Senior Solutions Architect at Amazon Web Services (AWS) focused on the Healthcare industry. The primary responsibility is to help healthcare providers implement innovative cloud computing and AI solutions, solve technical problems, and enhance patient and clinician experiences. The role involves owning technical engagements, defining implementation architectures, responding to RFPs, and acting as a subject matter expert on security. While the role involves working with AI solutions, the core craft is not building AI models but rather architecting and implementing cloud solutions that leverage AI for healthcare clients.

Software Engineer II role focused on building and operating large-scale data processing systems for Amazon's catalog intelligence. The role involves applying ML/DL algorithms, designing data pipelines, and ensuring data quality for business decisions. It emphasizes data engineering, real-time/batch processing, and distributed systems at cloud scale.

This role focuses on designing and implementing cloud architectures, particularly leveraging AI/ML and Generative AI, for Healthcare and Life Sciences customers on AWS. The Solutions Architect will build prototypes, provide technical guidance, and create reference architectures to accelerate customer adoption of AWS services in the HCLS domain.

Senior Solutions Architect for Healthcare & Life Sciences (HCLS) at AWS, focusing on designing and delivering cloud architectures that leverage AI/ML and Generative AI for HCLS customers. The role involves customer engagement, building prototypes, educating customers on AWS capabilities, and staying current with emerging AI/ML technologies to provide guidance and reference architectures. It also includes collaborating with account management, professional services, and product teams.

This role is for a Software Development Manager on the AWS Identity team, focusing on secure identity, access, and resource management for AWS customers. The team leverages machine learning and automated reasoning for access control and aims to build scalable, core technologies for authentication and authorization. The role involves managing and growing an engineering team, driving technical design, and delivering high-performing, reliable systems in a cloud computing environment.

Program Manager for Amazon's Ring and Blink Customer Experience and Insights Team, focusing on AI-driven transformation. The role involves leveraging generative AI and machine learning to identify and resolve customer contact drivers, improve customer experience, and drive automation. Responsibilities include AI strategy, program management, stakeholder engagement, and mentoring junior team members on AI adoption.