Amazon

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.

This role is for a Principal Business Development Manager at Amazon Web Services (AWS) in Hong Kong, focusing on driving new business acquisition and expanding AWS adoption within the Financial Services sector. The candidate will build strategic customer relationships, understand cloud computing fundamentals, and promote the growth of cloud and AI adoption. Responsibilities include identifying and qualifying opportunities, developing strategic relationships, collaborating with partners, creating account plans, and executing go-to-market strategies. Basic qualifications include extensive experience in enterprise technology sales, large deal negotiations, strategic account management, and understanding the FSI regulatory environment. Preferred qualifications include experience with C-level executives, GenAI, data analytics, and cloud transformation.

Experienced Software Development Manager to lead a team building next-generation distributed, scalable financial systems. The role involves shaping vision and strategy, designing secure systems for sensitive financial data, mentoring teams, and driving the adoption of emerging technologies like agentic AI and LLMs.

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 to build a globally scalable gross-to-net payroll calculation engine with deep tax calculation capabilities, leveraging LLM-based rule extraction for complex, real-time regulatory contexts. The role involves designing and developing deterministic tax calculation algorithms, creating accounting integration services, and implementing GenAI shadow mode validation frameworks.

Software Development Engineer to build a globally scalable gross-to-net payroll calculation engine with deep tax calculation capabilities, leveraging LLM-based rule extraction for complex regulatory contexts. The role involves designing and developing deterministic tax calculation algorithms, creating accounting integration services, and implementing GenAI shadow mode validation frameworks.

This role focuses on leveraging Generative AI to improve software development and support processes within Amazon Business. The Systems Development Engineer will be instrumental in building and evolving software infrastructure, designing and implementing robust solutions, developing applications, and creating automated processes. The core of the role involves using AI to accelerate development velocity, enhance code quality, and transform problem-solving through intelligent automation and AI-assisted collaboration.

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.

This role is a Senior AI Specialist Sales position within AWS, focusing on driving the adoption of AWS's AI services across specific industry sectors in India and SAARC. The individual will engage with C-level executives to accelerate Generative AI and Agentic AI adoption, bridging business strategy with technical implementation. Responsibilities include leading sales cycles, developing business cases, providing thought leadership, and achieving revenue targets for AI/ML services. While deep AI/ML expertise is required, the core function is sales and driving adoption, not direct AI/ML model development or research.

This role is a Senior AI Specialist Sales professional for AWS Public Sector in India and SAARC. The individual will drive the adoption of AWS's full stack AI services, focusing on Generative AI and Agentic AI. Responsibilities include engaging C-suite executives, articulating business value, developing business cases with ROI, managing sales cycles, and representing AWS at industry events. The role requires deep AI/ML expertise, executive presence, and sales success, with a focus on translating technical capabilities to business outcomes.

Software Development Engineer II at Amazon on the Selection Monitoring team, responsible for processing billions of products to algorithmically identify and add new products to the Amazon catalog. The role involves applying ML/DL algorithms, building Information Retrieval systems, and working with large-scale distributed systems, Big Data, and AI technologies to improve product information, search, pricing, and delivery experience.

This role focuses on consulting with AGI-DS scientists to define and manage ML/Gen AI data collection requirements, optimize data annotation workflows, and ensure the quality of data used for model training. It involves managing global team improvement projects and acting as a trusted advisor for data solutions.

Software Development Engineer 2 role focused on data labeling services for AGI and Gen-AI models, including agentic models. The role involves developing and maintaining key features of the system, devising design approaches, prototyping, and working in an Agile environment to deliver high-quality software. The team provides full-cycle, high-quality data and services to power the AGI lifecycle.

This role is for a Sales Lead focused on driving seller engagement for global expansion using Generative AI tools. The candidate will leverage existing data and build/use Gen AI tools to automate outreach and personalize nudges for sellers. The role involves both manual outreach and partnering with product teams to develop future AI solutions, aiming to scale impact globally.

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.

This role leads the exploration and implementation of AI-driven marketing engagement experiences and data-driven marketing solutions for Amazon Global Selling. It involves understanding marketing requirements, developing use cases, and collaborating with product teams and vendors for solution development and implementation. The role requires expertise in AI technologies like machine learning, NLP, and computer vision, and focuses on marketing automation, content creation, channel distribution, media buy optimization, and personalized engagement.

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 involves architecting and developing solutions using Machine Learning, Deep Learning, and Generative AI to create prototypes for customers. The focus is on applying software engineering best practices to ensure prototypes can form a foundation for production solutions, within a creative environment that embraces experimentation. The role requires deep technical expertise and collaboration to solve customer problems.

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.

This role is a Go-To-Market (GTM) Specialist for Generative AI/Machine Learning within AWS in Korea. The primary focus is on driving the adoption and growth of AWS's GenAI/ML services by developing and executing GTM strategies, identifying customer use cases, and collaborating with sales, partners, and marketing teams. The role involves understanding customer problems, enabling field teams, and bringing market signals back to product teams. It is a customer-facing role focused on business development and sales enablement rather than direct AI/ML model development or engineering.

This role is a Data Solutions Lead Manager responsible for managing a Data Collection team focused on ML/Generative AI data collection. The role involves managing team performance, developing expertise in AI data collection and related products, leading global improvement initiatives, coordinating with global teams, monitoring and optimizing collection health metrics, and driving customer service utilization through technical value and customer experience. The manager will also act as an escalation point for difficult data collection cases and collaborate with product/technology teams to build long-term solutions.

This role leads a team responsible for end-to-end execution of data collections that improve General Intelligence models. It involves managing teams across multiple sites, driving business value through efficiency and agility, and having the technical acumen to handle challenging collections. The role also focuses on global program improvement initiatives, stakeholder coordination, monitoring collection health, and collaborating with product and technology teams.

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.

Solutions Architect role focused on helping ISV customers adopt and leverage AWS cloud services, including AI/ML technologies, by architecting solutions, providing technical guidance, and evangelizing best practices. The role involves understanding customer business needs and translating them into technical solutions, creating reference architectures, and contributing to the growth of the Solutions Architecture organization.

This role is for a Senior Account Manager focused on GenAI startups in India. The primary responsibility is to drive cloud adoption and revenue growth among these startups by understanding their needs, building strategic relationships, and ensuring they select AWS as their primary cloud provider. The role involves extensive collaboration with internal AWS teams and external contacts to execute go-to-market strategies.

This role focuses on advising AGI-DS scientists on ML/Gen AI data collections, managing customer relationships, and driving business value through technical advisory. It involves creating and managing workstreams for data collection requirements, coordinating delivery, and monitoring collection health metrics. The role requires a strong understanding of data annotation and ML workflows, with a focus on customer success and technical consultation.

Software Development Engineer Intern focused on building AI-based automation technology operations platforms, requiring design and development of scalable systems and collaboration with engineering teams. Basic qualifications include CS fundamentals and understanding of AI/ML algorithms, with preferred qualifications in GenAI, LLMs, and Agentic AI systems.

Senior Solutions Architect for AWS Financial Services in Vienna, focusing on cloud technologies and advising enterprise customers. The role involves solution design, migration strategies, security, and acting as an internal advocate. It emphasizes experience with emerging technologies like Generative AI and Agentic AI, and requires a strong technical background in cloud architecture and financial services.

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.

Software Development Engineer to build high-performance, globally scalable AI-based Financial systems, partnering with science teams to build customized ML models and integrate with Generative AI models. Focus on designing and developing services for global financial transactions using AWS cloud platform.

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.

This role focuses on Business Intelligence and data analysis within Amazon Business. While it mentions Machine Learning and data mining, its primary function is to build analytical tools, automate reports, and provide insights to business and product teams. The core responsibilities revolve around data manipulation, reporting, and dashboard creation, rather than developing or deploying AI models.

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.

Software Development Engineer role focused on developing software for next-generation embedded systems for Ring camera products, leveraging AI agents and Generative AI tools to transform software development workflows. The role emphasizes AI-assisted coding, automated testing, and intelligent optimization to accelerate development.

Senior GenAI / Agentic AI Sales Manager for AWS Global Sales, focusing on driving revenue and customer adoption of Generative AI and Agentic AI technologies. The role involves technical sales, solution advisory, and customer engagement to translate AI capabilities into business value.

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.

This role leads an engineering team focused on building an intelligent promotion platform for Amazon's Subscribe & Save business. The team will develop ML models for personalized promotions, create tools for selling partners, and integrate with GenAI surfaces. The role emphasizes people leadership, technical depth, and shipping innovative features at scale.

Operations Manager for Amazon's Artificial General Intelligence Data Services team in London, focusing on managing and scaling data operations for AI/ML technologies, leading teams, and ensuring service delivery and performance targets are met.