Amazon

Finance Manager role supporting Generative AI services within AWS, focusing on financial planning, CapEx management, and strategic feature launches. Requires strong financial analysis, business partnership, and communication skills.

Technical Program Manager to lead adoption of application security processes and improvements across internal customer teams at Amazon. This role involves planning, organizing, and managing the project lifecycle, collaborating with internal customers and security teams, architecting scope of work documents, and guiding the evolution of internal security support solutions. The TPM will also define and implement best practices, create business proposals and metrics, manage program risk, and foster a positive work environment.

The AWS Support team is seeking a Senior Product Manager, Technical to own and drive the Well-Architected framework and Trust Advisor check contributions. This role involves driving partner and multi-cloud strategy, collaborating with engineering teams to build cohesive user experiences, and working with Sales and Account teams to increase top-line revenue. The product manager will be at the forefront of cloud technologies, interacting across the full breadth of AWS services.

Senior Software Engineer role focused on the design and development of new EC2 services for ML and HPC platforms, leading the SDN dataplane stack. The role involves technical leadership, architecture definition, and mentoring within the AWS Utility Computing organization.

Engineering Manager for SoC Firmware on AWS's custom ML accelerator chips (Trainium/Inferentia). The role focuses on the lowest layer of user-space software (HAL) that boots, configures, and manages hardware blocks on the chip. Responsibilities include managing a team, coordinating deliverables, owning bring-up for new chip tape-outs, prioritizing work, driving architecture, and shipping C++ codebase across multiple environments (simulation, emulation, production). The role requires deep expertise in low-level software, embedded systems, and hardware/software interaction, but not necessarily ML background.

Software Development Engineer role focused on building innovative solutions for Amazon's digital advertising products, working with partners and utilizing AWS, Kotlin, React.js, and Next.js. The role involves handling massive-scale streaming systems, machine learning, and data science to personalize user experiences and enable advertisers.

This role is for a Senior Program Manager responsible for the long-term design, planning, and monitoring of Amazon's last-mile delivery network in Japan. The goal is to build the most efficient delivery network on the planet, focusing on increasing the number of Delivery Stations (DSs) and expanding networks to reach more customers with better speed and cost. The role involves network design, capacity planning, optimization, data analysis using tools like Redshift and SQL, simulation analysis, and stakeholder management. While the company mentions using AI/GenAI tools, the core responsibilities of this role are in program management and logistics network optimization, not in building or directly applying AI/ML models.

This role is for a Systems Engineer/Dev Ops Engineer within AWS Managed Operations, focusing on building, operating, and evolving services for the European Sovereign Cloud (ESC). The position involves ensuring high availability, reliability, and performance of AWS services like EC2, S3, Dynamo, Lambda, and Bedrock for EU customers. Responsibilities include overseeing operations, collaborating with global teams, enhancing day-to-day operations, and participating in on-call rotations. The role emphasizes automation, operational excellence, and customer satisfaction within a mature cloud computing environment.

Senior ProServe Account Executive for Financial Services at AWS, focused on driving customer success and business growth through cloud transformation projects. This role involves engaging with new and existing financial services clients, understanding their business outcomes, proposing AWS Professional Services offerings, and ensuring successful project delivery. Performance is measured by revenue, bookings, and customer satisfaction.

This role focuses on developing and operating server-related firmware for AWS infrastructure, specifically for AI training and inference workloads. The engineer will work on Baseboard Management Controller (BMC) software, scripting, data center operations support, and Linux driver development, contributing to the backbone of AWS's Generative AI cloud offerings.

This role focuses on the hardware engineering for AWS cloud servers, specifically those designed for AI/ML and HPC workloads. The engineer will be responsible for the design, development, testing, and operation of accelerated server segments, working with interdisciplinary teams and external partners to deliver these products at scale. The role involves understanding customer needs, architecting solutions, and overseeing the fleet's quality and performance post-launch.

Software Development Engineer role focused on building sophisticated tools for Amazon's Consumer businesses, supporting deep dive analysis, vendor negotiations, and business planning. The role involves translating requirements into architecture and software solutions, coding, testing, and ensuring system quality, scalability, reliability, and performance. While not core AI development, it involves leveraging and integrating generative AI tools to enhance workflow and products.

Research Scientist role focused on packaging and environmental R&D for quantum devices at Amazon Web Services (AWS) Center for Quantum Computing. Responsibilities include designing, modeling, and testing packaging solutions, developing environmental test standards, automating data collection, and collaborating with hardware engineers to improve qubit performance. Requires experience in patents/publications, programming, and cryogenic packaging design/testing or quantum hardware characterization.

Program Manager for Vendor Management in Delivery Networks & Technologies team, focusing on process automation, governance, and streamlining data evaluations, contract administration, and vendor payments. Leverages technologies like ML, CV, and LLMs to enrich geospatial data solutions.

This role focuses on designing, implementing, and managing AWS solutions for customers, acting as a trusted advisor and guiding them through their cloud adoption journey. It involves technical expertise in AWS services, data lake architecture, ETL/ELT pipelines, and data warehousing.

Software Development Manager for Amazon's Payment Products team, focusing on co-branded and private label credit cards. The role involves leading a team of engineers, strategic planning, project management, and ensuring the delivery of innovative payment solutions. The team works on high-impact projects across the customer lifecycle, including AI-Native development, and collaborates with internal and external partners.

Seeking a Senior Data Engineer to establish a reliable and accessible data platform, ensuring Operations Finance customers have trust in the data, technology, and tools to make data-driven business decisions. The role involves designing, implementing, and supporting scalable data infrastructure solutions and complex data models, integrating with various data sources, and curating data for reporting, analysis, and machine learning models. Responsibilities include building data pipelines and data-sets using Python, Airflow, and SQL, automating deployments with AWS tools, and working with AWS services like Redshift, Glue, and S3.

This role is for a Delivery Consultant at Amazon Web Services (AWS) Professional Services in the UK. The consultant will work with customers to design, implement, and manage AWS solutions, focusing on cloud migration strategies and providing technical guidance throughout the project lifecycle. The role requires expertise in AWS services, cloud infrastructure assessment, and migration tooling, with a strong emphasis on customer advisory and project delivery.

This role involves deploying and servicing data center building automation systems, such as Building Management Systems (BMS) and Electrical Power Monitoring Systems (EPMS), to ensure the health and efficiency of AWS data centers. Responsibilities include overseeing new deployments, upgrading existing systems, providing local servicing expertise, and collaborating with various internal teams and external vendors.

This role is a Senior Finance Analyst focused on supply chain and network capacity within Amazon's Outbound Transportation Finance team. The primary responsibilities include financial planning, analysis, building financial models, and providing financial insights to business partners. While the role mentions using Generative AI tools to accelerate financial analysis, automate reporting, and enhance decision-making, the core function is finance and supply chain analysis, not AI/ML development.

This role is for a Contract Manager within Amazon Web Services (AWS) Legal Department, focusing on supporting AWS data center infrastructure. The responsibilities include reviewing, drafting, and negotiating contracts related to data center design, construction, operation, maintenance, and security. The role also involves providing legal and commercial advice, partnering with various internal teams, and driving process improvements for contract management. A key aspect is championing the adoption of AI tools and legal technology to enhance the contracting function.

This role focuses on analyzing large datasets to solve business problems, create reporting solutions, and drive operational enhancements within Amazon's Sourcing Performance Operations. It involves retrieving and analyzing data using SQL and other tools, monitoring and creating metrics, and supporting cross-functional teams.

Data Engineer II role focused on building and maintaining an enterprise-grade data platform using AWS services, combining data lake and mesh architectures. Responsibilities include data modeling, ETL pipeline development, data governance, and supporting analytics and machine learning use cases for the Amazon Leo satellite broadband network.

This role is a Sr. Financial Analyst supporting AWS EC2 pricing strategy, deal evaluation, revenue planning, and P&L support. It will specifically drive pricing decisions for large-scale AI workloads and support complex customer deals involving both Core and Generative AI. The role requires strong analytical, business partnership, and communication skills, with experience in financial modeling, SQL, and working with large datasets.

This role is for a Sr. Vendor Manager focused on geospatial data vendors for Amazon's delivery network. The responsibilities include managing vendor relationships, contract negotiations, performance monitoring, and cross-functional collaboration with Product, Technology, Legal, and Finance teams. While the team leverages AI technologies like ML, CV, and LLMs, this specific role is focused on vendor management and commercial outcomes, not the direct development or deployment of AI models.

Software Development Engineer II role in Amazon FinTech Treasury, focused on building a next-generation, horizontally scalable platform for managing financial transactions and identifying anomalies using machine learning. The role involves architecture, design, implementation, and deployment of large-scale big data applications, with an emphasis on building from scratch.

This role is for a Sr. Delivery Consultant at AWS ProServe, focusing on helping customers design, implement, and manage AWS solutions to achieve their business outcomes. It requires strong software/systems engineering, coding, automation, and design/architecture skills, with a focus on enterprise cloud adoption and migration strategies. The role involves acting as a trusted advisor and collaborating with stakeholders throughout the project lifecycle.

Software Engineer to build and own virtual platforms (full-system C++ and SystemC models) for custom ML accelerator chips (Trainium and Inferentia), enabling software development before silicon availability. Role involves modeling subsystems, improving infrastructure, and supporting software teams.

This role focuses on building and owning C++ models of custom System-on-Chips (SoCs) for AWS's machine learning accelerators (Trainium and Inferentia). The models are used by RTL designers, verification engineers, and software teams throughout the silicon development lifecycle, impacting chip design, verification, and production. The role involves translating architecture specs into C++ models, validating against RTL, developing test infrastructure, and contributing to performance modeling. While the chips are for ML accelerators, the core craft of this role is hardware modeling and verification, not direct AI/ML model development or research.

This role focuses on developing the low-level software stack (drivers, runtime libraries, communication software) for custom ML accelerators (SoCs). The engineer will work on SoC models, debug hardware/software interactions, and build tooling to support chip development and validation. While the chips are for ML, the role itself is systems software engineering, not ML model development.

Technical Account Manager (TAM) for AWS Enterprise Support customers, focusing on their success in building and operating on the AWS cloud. The role involves understanding customer outcomes, providing expert advice on AWS services, and acting as a liaison between customers and AWS engineers.

This role is for a Sr. Lab Engineer at Amazon's Annapurna Labs, focusing on managing lab activities, improving lab automation, and providing technical support for machine learning hardware and software engineering teams. The role involves lab setup, maintenance, vendor management, and supporting product development projects, including AWS server integration. It requires strong problem-solving, organizational, and communication skills, with an emphasis on hands-on work and independent project delivery in a fast-paced environment.

Marketing Manager for Zappos, focusing on co-op marketing strategies with brand partners to drive revenue and enhance brand equity. Requires experience in marketing execution, data analysis, and relationship management.

This role focuses on designing and developing SOCs for AI workloads, specifically by automating design flows and building large-scale solutions to accelerate silicon development. The engineer will enhance and build design flows, collaborate with architects and designers, and evaluate/qualify new design tools.

Product Manager for AWS Private Pricing Program, focusing on tools, technology enhancements, and generative AI to improve internal and external customer experiences and scale pricing solutions.

This role focuses on Business Intelligence and Data Analytics within AWS Private Pricing. The engineer will be responsible for performance reporting, providing actionable insights, building analytical and forecasting models, creating dashboards, and driving automation to support business goals. The role involves collaborating with sales, finance, and other teams to identify reporting gaps and implement solutions, as well as executing complex ad-hoc analyses and architecting new processes. While the role mentions experience with data science and machine learning, its primary focus is on BI and analytics to support business operations, not on building or shipping AI/ML models as the core deliverable.

Product Quality Engineering Manager for Amazon Private Brands in Shenzhen, focusing on ensuring products meet global safety standards and customer expectations across hardline categories. Responsibilities include implementing quality systems, managing product testing, driving process improvements, and ensuring regulatory compliance.

This role focuses on the physical design and layout of advanced IC packages for machine learning and data center ASICs. The engineer will execute package layout tasks from floor planning to tape out, working with various teams to meet performance and reliability targets. This involves implementing designs for advanced packaging architectures like 2.5D interposer and 3D-IC, performing routing for high-density interconnects, and collaborating on die-level optimization. The role requires experience with package layout tools and understanding of advanced packaging technologies and design rules.

Software Development Engineer III role focused on designing and leading the development of container platform integrations for ML accelerator resource management, including device plugins, DRA drivers, and operator development. The role involves solving scalability challenges, simplifying systems by deprecating legacy software, driving operational excellence, and elevating team quality through code reviews and contributions. The team enables customers to run training and inference workloads on Neuron at scale, owning integrations with Kubernetes, ECS, and Slurm.

This role focuses on enterprise analytics solutions, data migration, and building BI solutions using AWS technologies like QuickSight. It involves data extraction, transformation, cleaning, ETL processes, data modeling, and automation using SQL and Python. While it mentions data science and machine learning in passing, the core responsibilities are in Business Intelligence and data engineering, not direct AI/ML model development.

Marketing Media Manager for Amazon Japan, responsible for developing and executing multi-channel media strategies, managing campaign performance, and collaborating with internal and external stakeholders. The role involves leveraging analytical skills and understanding of the Japanese media landscape to optimize campaigns. While the role mentions using AI and GenAI tools, it is not a core craft of the position.

This role is for a Programmatic Solutions Consultant at Amazon Ads, focusing on managing the end-to-end experience for enterprise customers using the Amazon Demand Side Platform (DSP). The consultant will develop customer expertise in programmatic advertising, provide onboarding, training, and strategic consulting, analyze data for optimization, and act as a liaison between customers and internal Amazon teams. The role requires strong advertising technology and programmatic advertising domain knowledge.

Shape the future of how brands merchandise related products on Amazon and help customers discover billions of related products in our catalog! Join the Relationship Data Services team to build the next generation of product relationships at Amazon scale. The Relationship Data Services team is at the core of Amazon.com. We are the authority for product data across Amazon's shopping experience worldwide. Our systems enable customers to discover, compare, and purchase products while empowering Amazon's selling partners to effectively list their products and relationships in Amazon's catalog. If you have evaluated different size, color or flavor variations on Amazon's product detail pages, you are interacting with data that is ingested, managed and vended by our systems! We are seeking a Senior Technical Program Manager to drive complex, cross-organizational programs that enable new types of product relationships across Amazon's catalog. In this role, you will define the systems and policies for how brands merchandise their products on Amazon while ensuring the best possible shopping experience for customers. You will enable Amazon to deliver innovative ways for customers to find related products, including newer versions, branded collections, and product lines. Working at Amazon catalog scale (billions of products and relationships), you will partner with engineering and product teams to build new catalog APIs, define data models, develop quality metrics, and drive data acquisition and quality improvement initiatives leveraging generative AI. This is a high-ambiguity, high-impact role requiring someone who can navigate complex technical and business trade-offs, influence without authority across multiple organizations, and balance tactical execution with strategic thinking. You will join a team of tenured technical and product leaders working directly in Amazon's core catalog pipeline, balancing how brands want to merchandise on Amazon with what's best for Amazon customers.

Lead a team of Software Development Engineers to build and run the control plane and data streaming systems that drive EC2 instance placement decisions. Create the vision and drive the roadmap for your team, thinking big about how data can be leveraged to improve how EC2 offers compute power to customers. Attract and grow hire-performing engineers for your team. Mentor and coach your team members and foster an inclusive engineering culture. Maintain a high-level of operational excellence. Lead and refine the team’s agile software development process. The successful Software Development Manager has solid technical leadership experience and a proven track-record in managing teams to deliver results. You have a strong software engineering background, with an interest towards optimization, machine learning and data streaming technologies. You demonstrate bias for action to get the right things done and engage thoughtfully with customers and stakeholders to understand their needs. You show excellent judgement in establishing priorities, and can successfully manage implementation in an agile environment.

HR Partner role at Amazon, focusing on providing HR support to employees, managing performance, employee relations, engagement, and operational excellence. The role mentions leveraging AI and GenAI tools within Amazon's operations but does not involve building or directly working with AI/ML models.

Senior Pre-Silicon SoC Modeling Engineer for AWS Machine Learning Accelerators. The role involves building and owning C++ models of custom SoCs (Trainium and Inferentia) used by RTL designers, verification engineers, and software teams. Responsibilities include translating architecture specs into models, validating against RTL, developing model-based test infrastructure, and contributing to performance modeling. The role emphasizes ownership and impact on silicon development, with a clear path into architectural modeling. No ML background is required as the domain knowledge will be learned on the job.

This role focuses on developing the low-level software stack (drivers, runtime libraries, communication software) for custom ML accelerators (SoCs) designed by Amazon's Annapurna Labs. It involves working at the hardware-software boundary, pre-silicon and post-silicon, on SoC models, validation, and performance optimization. While the chips are for ML training and inference, the role itself is systems software engineering, not directly building ML models or agents.

Software Development Engineer II focused on building and improving large-scale distributed systems for Amazon's global fulfillment network, utilizing workflows, optimization algorithms, and machine learning systems to solve complex transportation problems.