Amazon

This role is a Business Development Manager for AI Infrastructure within AWS, focusing on the Nordics and Northern Europe. The primary responsibility is to develop and execute the go-to-market strategy for AI training and inference workloads on AWS. This involves driving revenue growth, building customer relationships with AI companies (model producers, enterprises), and collaborating with partners. The role requires a strong understanding of the AI/ML landscape, including foundation models, training, inference, and GPU-accelerated computing, and experience in sales or business development within the cloud or software industry.

The role focuses on the physical design and optimization of hardware, specifically custom SoCs (System on Chip) that are central to AWS Machine Learning servers, including AWS Inferentia and Trainium Systems. The engineer will be involved in the entire physical design flow from synthesis to sign-off, developing methodologies, and evaluating third-party IP. While the hardware supports AI/ML workloads, the core craft of the role is in ASIC physical design engineering, not in building or researching AI models themselves.

This role involves training and improving Amazon's generative AI-powered shopping assistant, Rufus, by conducting high-judgment evaluations and labeling data across various modalities (text, image, video, audio). The goal is to enhance the model's fluency, provide better product research, comparisons, and recommendations to customers.

This role focuses on defining and leading enterprise adoption strategies for AWS generative AI services, driving customer business value realization. It involves architecting complex solutions, scaling frameworks, and enabling AWS teams and partners to unlock transformational value. The role requires strong technical expertise in GenAI, strategic vision, and operational excellence to create industry-leading mechanisms for customer success.

This role is for a Senior Technical Program Manager within Amazon's Intelligent Talent Acquisition (ITA) team. The primary focus is on reinventing the hiring process by leveraging AI systems and machine learning algorithms to improve scale, sophistication, and accuracy. The role involves defining and implementing data and web-based solutions, partnering with engineering teams, quantifying problems, estimating effort, and rolling out new systems. It also includes collaborating with research and data scientists to implement algorithms and supporting teams for operational excellence. The team uses data and predictive analytics to identify process efficiencies and measure program performance.

Software Developer role focused on automating international expansion for Amazon by building customer-facing features, leveraging ML models for solutions, and working in a distributed environment.

This role is for a Principal AI Specialist Sales at Amazon Web Services (AWS). The primary focus is on driving revenue growth by partnering with customers to understand their goals, translate complex AI capabilities into business value, and support successful AI adoption at scale. The role involves identifying AI use cases, building pipelines, guiding customers through AI adoption journeys, and acting as a trusted advisor on AWS AI services. Responsibilities include leading technical discovery sessions, contributing to solution design (including model selection, fine-tuning, and deployment), and providing guidance on model evaluation and responsible AI practices. The role also involves customer engagement, market development, and sharing customer insights with AWS AI product teams.

This role is for a Principal AI Specialist Sales at Amazon Web Services (AWS). The primary focus is on driving revenue growth by partnering with customers to understand their goals, translate complex AI capabilities into business value, and support successful AI adoption at scale. The role involves building pipelines, guiding customers through AI adoption journeys, identifying AI use cases, and advising on AWS AI services, including model selection, fine-tuning, deployment, and responsible AI practices. While the role engages with AI technologies like foundation models, LLMs, and agentic AI, its core function is sales and customer advisory, not direct AI/ML model development or research.

This role is for a Principal AI Specialist Sales at Amazon Web Services (AWS). The primary focus is on driving revenue growth by partnering with customers to understand their goals, translate complex AI capabilities into business value, and support successful AI adoption at scale. The role involves building pipelines, guiding customers through AI adoption journeys, identifying AI use cases, and advising on AWS AI services, including model selection, fine-tuning, deployment, and responsible AI practices. While the role engages with AI technologies like foundation models, LLMs, and agentic AI, its core function is sales and customer advisory, not direct AI/ML model development or research.

Senior AI Sales Specialist role at AWS, focusing on driving revenue and customer adoption of AI technologies by understanding customer needs, translating AI capabilities into business value, and guiding them through AI adoption journeys. Responsibilities include sales target achievement, account planning, technical advisory on AWS AI services, leading discovery sessions, and customer engagement.

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 ingestibility, research product understanding, and leverage generative AI for schema creation. The goal is to optimize product discovery and customer experience through a robust knowledge graph.

This role focuses on foundational data labeling for AI models, specifically for Alexa. Responsibilities include annotating text, speech, image, and video data, maintaining quality and confidentiality, and contributing to process improvements. The role requires strong analytical and research skills, attention to detail, and fluency in French and English.

This role is for a Sr. Analytics & AI Specialist Solutions Architect within AWS Global Sales, focusing on the Financial Services industry. The primary responsibility is to provide deep technical expertise and architectural guidance to customers on leveraging AWS analytics and AI services to solve complex business problems. The role involves collaborating with sales, marketing, and product teams, acting as a trusted advisor to business leaders, and thought leadership through content creation and public speaking.

This role is for a Senior B2B Product Marketing Manager focused on enterprise AI and Alexa, responsible for developing and executing go-to-market strategies, product positioning, messaging, content creation, and sales enablement. The role involves collaborating with various teams and understanding target personas and industries to refine GTM strategies and product roadmaps.

Embedded Software Engineer role focused on developing and optimizing software and firmware for Annapurna Labs' next-generation machine learning platforms, specifically the NeuronSwitches interconnect fabric for Trainium chips. The role involves hardware/software co-design, device driver development, ML infrastructure, and ensuring high-performance data movement for AI workloads.

This role is for a Senior Business Analyst in Amazon's Middle Mile Transportation Technology (MMPT) organization, focusing on fraud prevention solutions. The role involves using machine learning algorithms, but the primary focus is on business analysis, data visualization, automation, and building BI solutions. The candidate will work with large datasets, develop automated data pipelines, and create self-serve analytics dashboards. While proficiency in Python/SQL is mentioned, the core of the role is business analysis and driving decision-making through data, not direct ML model development.

Senior AI Specialist Sales professional to drive adoption of AWS's full stack AI services across AWS Global Sales in Korea. This role partners closely with customers to understand their goals, translate complex AI capabilities into clear business value, and support successful adoption at scale.

This role is for a Senior Engagement Manager focused on Prototyping and AI Customer Engineering (PACE) within AWS. The primary responsibility is to help customers innovate using emerging cloud technologies, particularly Generative AI services, by collaborating with account teams, partners, and customers to identify opportunities, craft a vision, and oversee the delivery of prototypes. The role involves understanding customer business priorities, articulating value propositions, and driving strategic outcomes through cloud-based solutions. While the role interacts with AI services and prototypes, the core function is customer engagement, program management, and driving adoption of AWS services, rather than direct AI/ML model development or research.

Senior Software Development Engineer to build AI-powered analytics tooling for Prime Video teams to pinpoint playback issues, debug at scale, and drive smarter business decisions. The role involves working with large-scale real-time data, ML, AI, NLP, and distributed systems to build scalable services. The team focuses on generating actionable metrics, datasets, insights, and intelligence through ML models and tooling, supporting various customers like playback engineers and partner teams working on algorithms. The goal is to automate data exploration and identify key areas for improving customer experience.

Senior Program Manager for Amazon's Selling Partner Trust and Store Integrity team, focusing on global compliance innovation, fraud and abuse detection in tax compliance, and creating adaptive governance frameworks. The role involves leading the development of core capabilities, partnering with operations and tech, and coordinating regional leaders to solve challenges at the intersection of policy, technology, and seller experience.

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.

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.

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.

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.

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

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.

This role is for a Senior Product Manager at Amazon Alexa Canada, focusing on leading the expansion of Alexa+ in Canada. The responsibilities include defining user needs, creating product roadmaps, understanding market dynamics, developing business requirements, and managing the end-to-end customer experience for Alexa Canada across various devices. The role involves working closely with engineering, program management, and other cross-functional teams to deliver products, monitor customer experience, and drive strategic initiatives. A key aspect is understanding how AI, including agentic systems, is reshaping product development and leveraging AI to improve decision-making and accelerate development.

This role is for a Senior Security Solutions Architect at AWS, focusing on helping large enterprise customers secure their services and achieve business goals on AWS. The role involves advising on security, risk, and compliance, particularly in areas like Identity, Data Protection, Network Security, and Generative AI. It requires designing proof-of-concept architectures, developing technical content, and mentoring internal teams. While the role interacts with AI concepts and customers using AI, it does not involve building or shipping AI models or systems directly.

This role involves building data pipelines, dashboards, and leveraging Generative/Agentic AI products for data self-service within Amazon Payment Products. The engineer will analyze large datasets, present insights, and manage projects from start to finish, with a focus on driving business profitability.

Product Marketing Manager for an enterprise AI platform at AWS, focusing on go-to-market strategy, positioning, messaging, and customer value articulation for generative AI-powered search, agents, and business intelligence solutions. Requires a blend of technical understanding and business strategy to influence product direction and drive adoption.

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 build relationships with investors, create programs to support startups, and leverage technical understanding of cloud and emerging technologies like generative AI to help startups innovate and scale on AWS infrastructure. The role involves evaluating startups, advising them on cloud architecture and go-to-market strategies, and collecting market signals to inform AWS innovation.

This role is for a Sr. Capacity Planning Manager at Amazon, focusing on forecasting and optimizing resource utilization for Verifications & Risk Management Operations. While the role emphasizes leveraging AI and ML in planning models and driving AI/ML implementation, the core function is capacity planning and operational management, not direct AI/ML model development or deployment.

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.

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.

The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, video data, to support the development and deployment of generative AI and LLMs at Amazon. This role involves working with diverse data types, delivering high-quality labeled data, analyzing root causes of errors, and proposing solutions to enhance labeling quality.

This role is for a Senior Solutions Architect Manager at AWS, focusing on leading a team of Solutions Architects to help customers leverage AWS services and generative AI to achieve business outcomes. The role involves building and leading teams, developing strategic customer relationships, acting as a technical thought leader, and guiding the design and implementation of cloud solutions with a focus on emerging technologies like generative AI.

Product Manager for Amazon's Elevated Shopping team, focusing on reinventing the premium and luxury online shopping experience using ML, computer vision, and big data. The role involves end-to-end product lifecycle management, strategy, roadmap planning, and partnering with UX and engineering to deliver innovative customer experiences. Experience with generative AI tools for workflow enhancement and identifying opportunities for AI integration is preferred.

Lead data engineering, business intelligence, and analytics teams to build scalable data pipelines, analytical frameworks, and enable machine learning models for seller verification and onboarding systems. Focus on data infrastructure, modeling capabilities, and insights to drive verification effectiveness, impacting seller experience and marketplace integrity.

This role focuses on driving the go-to-market strategy for AWS Generative AI & Machine Learning business through partners. The specialist will enable partners to build solutions, drive revenue growth, and act as an internal AI/ML subject matter expert. The role involves developing and executing GTM plans, educating partners, and unblocking challenges.

This role focuses on designing and implementing system-level test solutions for ML acceleration hardware within AWS. It involves validating hardware and software for large-scale deployment, collaborating with cross-functional teams, and ensuring the quality and reliability of ML infrastructure.

The role involves evaluating annotated datasets for training generative AI models, ensuring accuracy and consistency. It requires German fluency and attention to detail in data quality assurance and integrity.

Senior Technical Program Manager to lead the MAPLE (Marketing Automation Program and Learning Engine) Channels roadmap, driving the technical strategy and execution of L10 goals for payment product recommendations across Amazon's core shopping experiences. This role involves managing complex technical programs, ML optimization experiments, and architectural migrations for systems handling high transaction volumes and impressions. The role also requires partnering with various teams including ML Science and Data Engineering to deliver scalable ML and econometric models.

Data Engineer II role within AWS Applied AI Solutions, focusing on building and deploying reliable distributed data pipelines for Amazon Go's Just Walk Out Technology. The role involves data modeling, ETL, and working with various AWS technologies to support machine learning and vision systems.

This role is for a Sr. Business Intelligence Engineer focused on Demand and Inbound Forecasting within Amazon's supply chain. The engineer will develop tools and metrics for analytics solutions, lead projects using data modeling and statistical analysis, and partner with product, science, and engineering teams. While the role mentions experience with ML and data science theory, its core function is BI and analytics for forecasting, not direct AI/ML model development or deployment.