Senior 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 positioning and messaging, leading launch strategies, creating technical content, and driving field enablement. Requires a blend of technical understanding and business strategy to influence product offerings and articulate value propositions for AI products.

This role focuses on designing and implementing production-quality technical demonstrations for AWS services, particularly in Generative AI and Machine Learning. The responsibilities include developing code artifacts, supporting analyst evaluations, and collaborating with various teams to showcase new products and features. The role emphasizes creating inspiring technical showcases for product launches and events.

Product leader to design, experiment with, and deliver AI-powered experiences that help Amazon's Selling Partners discover and act upon growth opportunities. The role involves transforming actions into sequenced, prioritized business plans through conversational experiences, leveraging generative AI tools to enhance workflow efficiency and integrate AI solutions into products.

This role is for a Senior Technical Program Manager at Amazon, focusing on AI-Powered Network Planning. The core responsibility is to own the roadmap for AI-native solutions that learn, predict, and optimize the customer service network. The role involves leading end-to-end delivery of AI-enabled forecasting and capacity optimization initiatives, partnering with Engineering, Science, and Product teams to architect and scale systems, and managing the transition from legacy to next-generation AI-native capabilities. It requires influencing without authority, navigating ambiguity, and defining program mechanisms. The role operates at the intersection of Engineering, Science, and Product, aiming to redefine the global network through AI.

UX Designer for Amazon's Just Walk Out Technology, focusing on customer-facing digital experiences, mobile apps, and associate tools within a physical store environment. This role involves working with product, research, software, and business teams to create user experiences that leverage computer vision, sensor fusion, and machine learning.

This role is for a Sr. Technical Program Manager on the Creative Building team within Amazon Advertising. The team is developing an AI Agent called Peggy for advertising creative optimization. The TPM will own complex programs from conception to delivery, coordinating cross-functional teams (Creative, Design, Product Management, Engineering) and navigating ambiguous technical and business challenges in the AI and advertising technology space. Responsibilities include driving execution, analyzing problems, managing stakeholders, and ensuring delivery excellence using agile methodologies in AI/ML development cycles.

Principal Product Manager, Technical (PMT) for Amazon Ads (Sponsored Products and Brands) to re-imagine advertising using generative AI. The role focuses on building personalized, context-aware ad experiences across various Amazon surfaces to drive monetization, working with business stakeholders, scientists, and engineers. Key responsibilities include charting product direction, developing customer experiences, and influencing senior leaders.

The Principal Product Manager, Tech for Prime Video's Viewer Experience will own the end-to-end product, user experience, design, and technology for delivering state-of-the-art entertainment experiences to millions of customers globally. This role involves defining product vision, strategy, and roadmaps, working cross-functionally with science, engineering, design, and other business teams, and making technical decisions. While the role requires experience with AI/ML technologies and familiarity with GenAI/LLM tools, its core focus is on the product delivery of consumer-facing features within the Prime Video app.

Software Development Engineer responsible for developing and maintaining high-performance monitoring and profiling tools for AWS Neuron AI accelerators (Inferentia and Trainium). The role involves managing the full development lifecycle of the Neuron Profiler/Tools toolchain, optimizing ML Kernels and Frameworks, and collaborating with compiler and runtime teams to provide insights for customer optimization of AI workloads.

Senior Software Developer role focused on improving the developer experience for Amazon Aurora Distributed SQL, particularly in the context of AI-assisted development and agentic applications. The role involves leading technical strategy, architecture, and delivery of tools, documentation, and integrations to make DSQL easier for developers and AI agents to use.

This Business Intelligence Engineer role focuses on transforming complex data into actionable insights for Seller Performance Support metrics. The role involves data quality monitoring, dashboard creation, driver analysis, time series forecasting, and A/B testing. While the core function is BI and analytics, there's a stated preference for leveraging and integrating generative AI tools to enhance workflows and drive business value.

Senior Product Manager for Amazon's Toys & Entertainment team, focusing on developing strategy, roadmaps, and execution for data and insights sharing products with external business partners. The role involves analyzing data, defining requirements, and driving product lifecycle from inception to adoption, aiming to enhance customer experiences and business performance within the licensed products domain. Experience with generative AI tools for workflow enhancement is preferred.

Data Scientist role focused on designing and optimizing complex delivery networks using statistical and machine learning models, experiments, and simulations. The role involves owning the Data Science/ML roadmap, translating business challenges into mathematical models, and delivering scalable solutions.

Senior Data Scientist role focused on developing demand prediction and pricing models for Amazon Shipping's spot pricing system, utilizing ML and economic principles. The role involves automating price exploration, predicting prices to maximize capacity utilization, and incorporating models into production. Collaboration with business and software teams is key, as is educating non-technical leaders on complex modeling concepts.

This role focuses on designing and implementing scalable data science approaches, acquiring and analyzing data, and building statistical and machine learning models. It involves using SQL for data acquisition and ETL, and implementing models with considerations for computational demands, accuracy, and reliability.

This role is for a Delivery Consultant on the AWS ProServe team, focusing on designing, implementing, and managing AWS solutions for customers. While the role involves advising on emerging technologies and innovative solutions, including AI/ML, its core function is cloud solution delivery and customer success, not direct AI/ML model development or research. The role requires a strong understanding of AWS services and cloud architecture, with a focus on customer-facing technical consulting and project management.

Manager, Senior Economist, Marketing Measurement at Amazon. This role leads a team of Economists, Data Scientists, and Applied Scientists to design and build a next-generation marketing measurement system using causal inference and AI. The goal is to provide actionable insights for marketing investment decisions, focusing on incrementality and long-term customer actions across WW marketplaces. The role requires strong leadership, technical expertise in econometrics and AI solutions, and the ability to bridge the gap between technical teams and business stakeholders.

This role is for a Sr. National Account Manager focused on driving growth for Ring and Blink by establishing new strategic retail partnerships. The role involves identifying and securing partnerships, developing strategic account plans, leading contract negotiations, managing partner relationships, and collaborating with internal teams. While the role mentions leveraging AI tools for market analysis, optimization, and efficiency, the core function is sales and business development, not building or directly shipping AI models or systems.

This role focuses on the power and performance architecture for ML accelerators within Amazon's data centers. The Senior Power Architect will design and optimize power solutions, DVFS flows, and power management algorithms for these hardware components, working closely with cross-functional teams. While the hardware is for ML accelerators, the core craft of the role is power and performance engineering, not direct ML model development or deployment.

This role is for a Sr. Manager, Program Management within Amazon's Relay Trust team, focusing on preventing fraudulent transactions in the transportation network. The role involves leading a team of Risk Analysts, partnering with business stakeholders, supporting process improvement, driving standardization, building monitoring programs, and applying new technologies to the program area. While the team utilizes machine learning algorithms and develops fraud prevention solutions, the core of this management role is product/program delivery and risk management, not direct AI/ML model development.

This role is a Principal Program Manager focused on fraud prevention within Amazon's Middle Mile Transportation Technology. While the role works with machine learning algorithms and aims to improve fraud prevention solutions, its core function is program management, process improvement, and cross-functional leadership, rather than directly building or shipping AI models. The primary deliverable is a program that protects customers from fraud, which falls under a shipped product (L6). The role uses AI tools and collaborates with ML engineers but does not appear to be the primary builder of the AI systems themselves.

Software Development Engineer II (SDE2) for the Zappos iOS Mobile team, focusing on developing and maintaining the native iOS app. The role involves contributing to the entire customer journey, from homepage to checkout, including search, recommendations, and ads. The engineer will collaborate with product managers and designers, uphold best practices, and solve complex technical issues. A key aspect is the regular use of AI tooling to enhance daily development tasks and the ability to identify opportunities for generative AI to improve products and customer experiences.

This role is for a Senior Partner Solutions Architect within AWS, focusing on the Financial Services (FSI) Banking industry. The primary responsibility is to accelerate the adoption of AWS cloud services by working with consulting and technology partners to build and deploy technical solutions for Banking customers. While the role involves understanding and evangelizing AI/ML solutions like Agentic and Generative AI, the core function is partner enablement and solution architecture, not direct AI/ML model development or research.

This role is for a Sr. ABM Manager for Defense & National Security within AWS Industry Marketing. The primary focus is to design and execute high-impact, targeted marketing programs for government accounts, driving awareness, engagement, and pipeline growth. The role involves working at the intersection of marketing, field sales, and government relations to help defense leaders understand how AWS capabilities, including generative AI, can transform their missions. Success involves mapping stakeholders, developing account plans, leading targeted activations, and measuring program performance.

The Principal Product Manager will define and drive product strategy for the Neuron Kernel Interface (NKI), a compiler library for custom kernel development and optimization on AWS Neuron ML chips. This role involves working backward from customer needs, defining kernel library features, and improving the developer experience for custom kernel development, requiring a deep understanding of compiler systems, kernel optimization, and hardware acceleration.

This role focuses on the manufacturing, quality, and reliability of AI servers and systems that use Trainium chips. The engineer will work with cross-geographical ODMs and CMs to implement test techniques, improve manufacturing processes, qualify production lines, and mitigate product/component risks. The role is part of Annapurna Labs, which develops custom silicon and servers for AWS, including ML accelerators.

Senior Applied Scientist role focused on developing and improving last-mile delivery optimization using algorithms and machine learning. The role involves designing, implementing, and evaluating solutions for large-scale optimization problems, particularly in vehicle routing, and contributing to network planning and analysis to improve efficiency and reduce costs in global fulfillment operations. Requires a strong background in optimization, algorithms, and data structures, with familiarity in ML techniques.

This role is a Senior Go to Market (GTM) Specialist for Amazon Annapurna Labs ML team, focusing on driving growth for AWS AI Chips (Trainium and Inferentia) by identifying and onboarding influential partners, ISVs, and customers. The role requires understanding business needs, measuring adoption, and guiding investment decisions, working closely with internal AWS teams and external partners. It emphasizes technical depth in AI/ML, understanding of GenAI market trends, and experience working with academia and open-source communities.

Principal Product Manager for Amazon Ads' Conversational Ad Experiences team, focusing on leveraging generative AI to revolutionize advertising and customer discovery through multi-turn conversational interfaces. The role involves defining product strategy, driving innovation, and launching new ad experiences.

This role is for a Sr. Program Manager on Amazon's Books Risk and Policy team, focusing on leading launch readiness for policy and LLM/AI model initiatives. The role involves transforming complex initiatives into actionable documentation, architecting scalable processes, and partnering with various teams including Product Managers, Policy SMEs, Science, ML engineers, and automation teams. The candidate will use generative AI tools to accelerate project management tasks, contribute to LLM governance and human-in-the-loop (HiTL) process design, and identify opportunities to integrate AI tools into workflows. The role also involves process and risk management, data-driven decision making, and stakeholder management to ensure content integrity and mitigate risk within the Amazon Books store.

Senior Solutions Architect specializing in High Performance Computing (HPC) and Machine Learning (ML) on AWS. The role involves designing cloud-based solutions for customers with complex HPC/ML workloads, including CAE, Weather, and GPU computing. Responsibilities include collaborating with sales teams, providing thought leadership, and assisting customers in architecting and migrating their applications to AWS.

This role involves building technology to automatically monitor and classify billions of products on the Amazon platform using machine learning algorithms on large datasets. The goal is to ensure compliance with legal regulations and build customer trust in the catalog. The role requires developing Amazon-scale applications on Amazon Cloud that process large data volumes to derive patterns and conclusions.

The role is for a Sr. Power Engineer at Amazon's Annapurna Labs, focusing on power delivery for machine learning hardware. Responsibilities include architecting, designing, simulating, and validating power solutions, improving reliability and efficiency, and developing power technology roadmaps. The role requires strong hardware and software integration skills and experience in managing ODMs and leading power design for major technology products.

This role is for a Sr. Brand Marketing Manager at Amazon's eero division. The primary focus is on shaping and executing brand strategy, integrated marketing campaigns, and storytelling across the customer journey. While the role requires knowledge of Generative AI in marketing and creative workflows, it does not involve building AI models or systems. The role is product-focused within the consumer domain, aiming to mature the eero brand.

Program Manager II for Ring Insights, focusing on managing Alpha, Beta, and Delta testing for new products. The role involves leveraging AI-powered analytics tools for data processing, user feedback analysis, and generating insights to drive product launches. Key responsibilities include deploying AI-driven test scenarios, monitoring tester engagement using predictive models, and synthesizing AI-generated reports with qualitative insights to make product recommendations. The role also requires managing stakeholders, ensuring compliance, and coordinating with global teams.

Software Development Engineer role within AWS focusing on building and maintaining code for various AWS services, with a specialization in Artificial Intelligence/Machine Learning and Healthcare AI. The role involves designing, developing, and implementing complex software solutions, collaborating with cross-functional teams, and identifying performance bottlenecks. Preferred qualifications include knowledge of ML frameworks like JAX, PyTorch, vLLM, and LLM fundamentals.

Software Development Engineer role within AWS focusing on AI/ML and Healthcare AI, involving the design, development, and maintenance of code, implementation of complex software solutions, and collaboration with cross-functional teams. Requires experience in building complex software systems and knowledge of ML frameworks and fundamentals.

Software Development Engineer role within AWS focusing on AI/ML and Healthcare AI, involving the design, development, and maintenance of code, implementation of complex software solutions, and collaboration with cross-functional teams. Requires experience in building complex software systems and knowledge of ML frameworks and fundamentals.

Software Development Engineer role within AWS focusing on AI/ML and Healthcare AI, involving the design, development, and maintenance of code, implementation of complex software solutions, and collaboration with cross-functional teams. Requires experience in building complex software systems and knowledge of ML frameworks and fundamentals.

This internship focuses on data science, machine learning, and data mining, with an emphasis on developing, automating, and running analytical models. The intern will build tools for data analysis, error resolution, and present findings to business partners. Experience with large datasets and statistical grounding is expected.

This role is for a Senior Solutions Architect at Amazon Web Services (AWS) focusing on AI Engineering within the financial services sector. The primary responsibility is to partner with large financial institutions to design and implement scalable cloud architectures using AWS services, helping them adopt and leverage AWS for their business needs. The role involves understanding customer business problems, providing technical guidance, and acting as a customer advocate to enhance AWS services. While the role is within AI Engineering and deals with AI solutions, the core function is solutions architecture and cloud adoption, not direct AI/ML model development or research.

This role focuses on driving technical program execution for Amazon's device development tools, with a significant emphasis on leveraging AI/ML for automation and enhancing developer productivity. The primary goal is to shape the future of device development by leading cross-functional programs and implementing AI-powered solutions within the development lifecycle, ultimately impacting millions of Amazon devices worldwide.

Senior Design Technologist at Prime Video focused on shaping the future of entertainment by building high-quality, functional prototypes for next-generation UX concepts. This role involves hands-on product work, collaborating with design leadership, PMs, and engineers to drive concepts from idea to implementation, and leveraging platform expertise. A key aspect is developing prototypes using AWS Bedrock to envision brand new Gen AI powered experiences for customers, working across TV, mobile, and web clients.

Senior Customer Success Specialist focused on driving enterprise adoption and value realization for AWS generative AI services. This role involves developing and executing customer success strategies, architecting solutions, building enablement programs, and fostering relationships with customers and partners to scale adoption of AWS GenAI services. The emphasis is on organizational AI transformation leadership rather than direct AI/ML model building.

Software Development Engineer Intern/Co-op role focused on robotics at Amazon. The role involves designing, building, and operating innovative products and services, leveraging cloud-native architectures and microservices. A key aspect is the use and contribution to GenAI and AI-powered tools to improve development productivity, alongside developing software components that interact with robotics, computer vision, and other fulfillment center technologies.

This role focuses on providing strategic oversight and mentorship for human-in-the-loop and model-in-the-loop data pipelines used for LLM training and evaluations. The consultant will ensure data quality, champion knowledge sharing, and collaborate with AI teams to optimize data collection and model performance.

This role is for a Sr Operations Manager on the Amazon Artificial General Intelligence (AGI) team, focusing on speech and language solutions. The manager will be responsible for developing, managing, and supporting a team, creating operating plans, implementing processes for scaling, hiring and developing talent, fostering a coaching culture, and improving operational metrics. The team provides speech recognition capabilities and data labeling services for ML models.

Full Stack Software Engineer for Amazon Leo's satellite network SaaS platform. The role involves designing and building multi-layered services for real-time data collection, network analysis, and fault identification. Key responsibilities include developing automated runbook triggers, leveraging ML/AI for anomaly detection, root cause analysis, and impact prediction, and building data-driven KPI systems. The engineer will also provide technical leadership and mentorship.