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Join our Generative AI focus team to innovate Software Development at Amazon Are you ready to be part of a team that's redefining the future of software engineering? Our team is Amazon's ambitious initiative to pioneer AI development practices that will fundamentally transform how we build software at scale. Our Mission We're building the next generation of development tools - uncovering how LLMs can originate new ways of thinking, building, and collaborating. What Makes Us Different Ground-floor opportunity to shape the future of software development Direct impact on Amazon's global engineering practices Working with the latest technologies and large language models Culture of experimentation and innovative thinking What We're Looking For You'll lead the research, design, and development of AI technologies that challenge conventional software practices and uncover new ways for engineers to build and collaborate. You're comfortable working in ambiguous spaces, exploring emergent behaviors, and collaborating with designers, prototypers, and engineers to test hypotheses in live, evolving systems. You explore where LLMs behave in unexpected yet promising ways, especially in tasks like context retention, code reasoning, or agent behavior , and use those moments to uncover new AI-native workflows. We're looking for applied scientists with experience in areas like: + Information retrieval + Context and memory modeling + Agent behavior and autonomy + Code understanding and generation + Human-AI interaction What You'll Do Prototype new ways of working with LLMs in engineering workflows Help shape and evaluate scientific approaches behind agentic systems and engineering tools Move fast with engineers and prototypers to guide design decisions and model choices Make sense of unexpected model behavior and guide what to try next Impact Your work will surface where LLMs can meaningfully change how Amazon engineers build. You'll help the team uncover which surprises are worth pursuing and where to push beyond what's already known. Always find a way ️ BASIC QUALIFICATIONS - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Strong analytical, mathematical, and coding skills (e.g., Python, C++, or Java) - Previous work on agents or LLMs PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

We, Transportation Financial Systems (TFS) are responsible for building technologies that support financial aspects for Amazon transportation. Amazon's transportation systems get millions of packages to customers worldwide faster and cheaper while providing world-class customer experience - from checkout to shipment tracking to delivery. Our products and software systems include services that handle tens of thousands or requests per second and make decisions to pay billions of dollars a year and ensure that transportation's liabilities and revenues are correctly accounted for. With rapid expansion into new geographies, we have an opportunity to build products that scales not only with volume but also with the business models. We leverage latest technologies in big data, machine learning, real time analytics and high volume, low latency, high availability services. TFS is 100+ tech team across eight different platforms. We deal with problems of scale. Billions of dollars of spend is automated through our platforms and pipelines. We are a very fast-growing org. We have a large product and tech roadmap and are significantly ramping our product and tech team to meet the next level of product for Trans Finance. This position offers the opportunity to collaborate with our global engineering and product teams and customers across the world and other tech teams in the organization as we raise the bar in delivering innovation. To be successful, you need to be flexible and entrepreneurial. You are a true owner - you are passionate about building software products and innovate on behalf of our customers. You ideally have experience presenting a strategic vision to senior leadership, and are excited to think-out-of-the box to solve complex problems. We are a global team with engineering and product spread across Bellevue, Hyderabad (India), Bangalore (India), and Luxembourg (EU). Ideal candidate is effective in coordinating with teams across time zones, and be able to travel internationally a few times in an year. Key job responsibilities As a Principal PM, you are the end-to-end owner of vision, product strategy, execution, and launch of your products You will define the product roadmap and bring your vision to life by working with engineers, program managers, and other product owners. You will own end-to-end product lifecycle from design through to launch and adoption. Your product requirements are concise, with clear, measurable success criteria. You are an effective negotiator, make smart trade-offs without sacrificing quality, and drive appropriate schedules. You use data to influence our business strategy and technical priorities, and escalate when necessary without negatively impacting relationships. You independently represent your products and the product team and are comfortable communicating with senior executives as well as with business and technical stakeholders. You are effective in coordinating across teams in various time zones, and be able to travel internationally a few times in an year. BASIC QUALIFICATIONS - 10+ years of product or program management, product marketing, business development or technology experience - 10+ years of blending product and program management skills to execute strategic initiatives about process creation, standardization, and improvement experience - Bachelor's degree - Experience owning/driving roadmap strategy and definition - Experience with end to end product delivery - Experience with feature delivery and tradeoffs of a product - Experience as a product manager or owner PREFERRED QUALIFICATIONS - Experience owning technology products Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $145,700/year in our lowest geographic market up to $240,900/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

We are pioneering the future of e-commerce by leveraging AI to curate and generate diverse media content. We are seeking a Senior Technical Program Manager to spearhead our mission of delivering premium-quality product images and videos to customers globally. In this role, you will lead the program management of implementation, experimentation, and deployment of next-generation visual contents to enhance the customer journey. The projects leverage Generative AI, machine learning, and advanced engineering technologies. Key job responsibilities As a Senior TPM, you'll collaborate with Applied Scientists to implement state of the art ML models, work with Software Development Engineers to build scalable infrastructure, and partner with business teams to define the ideal media content across different product categories and regions. You'll be at the forefront of solving complex technical challenges, coordinating multiple core technical teams, making data driven decisions, and ensuring system reliability at massive scale. A day in the life Your day will begin with reviewing project dependencies and coordinating progress updates across business and technical teams. Throughout the day, you will collaborate closely with Applied Scientists to develop and execute model deployment strategies, while working alongside Software Development Engineers to optimize the GenAI asset generation and publishing pipeline. You will also coordinate with QA team to manage resource allocation and testing schedules. You'll meet regularly with business stakeholders to ensure technical roadmaps remain aligned with business objectives. This dynamic role demands project management skills, technical acumen, and the ability to bridge technical execution with business strategy. About the team Our team manages the critical infrastructure that powers the GenAI Evaluation Media organization's core operations. We enable rapid and precise experimentation on optimal product media content, provide sophisticated tooling to accelerate the Applied Science team's research initiatives, and deliver frameworks that empower business stakeholders to make data-driven decisions. Through our infrastructure and tools, we serve as the foundation that enables innovation and strategic growth across the organization. BASIC QUALIFICATIONS - 5+ years of technical product or program management experience - 7+ years of working directly with engineering teams experience - 3+ years of software development experience - 5+ years of technical program management working directly with software engineering teams experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules - Bachelor's Degree PREFERRED QUALIFICATIONS - 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience - Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules - Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $133,900/year in our lowest geographic market up to $231,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

We're looking for a Principal Product Manager - Technical (PM-T) who will drive our efforts to surface high-quality new selection to our customers. This role will lead product for the signals and CXs across the website that will surface cross-category new selection, educate customers on them, and help drive purchases in this strategic selection group. To succeed in this role, you need to be a self-starter who enjoys bringing clarity, simplicity, and direction to highly ambiguous challenges. You enjoy building partnerships and alignment with peers and senior leaders across VP orgs. You dive deeply into data and openly welcome debate to form high-judgement views. You know when to go slow because you need to learn more and build trust, and when to move fast to bring decisions to a close. Once a direction has been set, you guide and influence other PMs on executing with speed and rigor in designing experiments, working with tech, analyzing results, and flexibly iterating towards success to better serve the overall vision. You do all this in a collaborative environment with leadership, engineering, science, business intelligence, and your cross-Amazon partners. Key job responsibilities - You define the product vision, strategy, and roadmap. - You build strong partnerships across Amazon and with senior leadership. - You execute on the roadmap independently as a product owner, and through other Product Managers as needed. - You collaborate with engineering, science, and business intelligence to deliver results. - You understand the technology behind what you build, and how it impacts the customer experience. - You roll-up your sleeves and do your own deep dives into data and research. - You help raise the bar on product management across the organization. BASIC QUALIFICATIONS - Bachelor's degree - Experience owning/driving roadmap strategy and definition - Experience with feature delivery and tradeoffs of a product - Experience technical product management PREFERRED QUALIFICATIONS - Experience working directly with Engineers on product enhancements - Experience in project management methodologies, business analysis, or process improvement Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $161,900/year in our lowest geographic market up to $279,900/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

We are seeking a Senior Technical Product Manager to join our team. This is an opportunity to define the future of Global Robotics Delivery as you build innovative solutions to challenges in robotics supply chain and manufacturing. As Senior Product Manager for AI/ML products, you will focus on technologies that will help robotics delivery optimize operations, with a focus on providing our business partners with intelligent insights. You will harness the power of machine learning to help define and build new operations experiences that make it easier for Global Robotics Delivery to successfully deploy robotics fulfillment centers. At Amazon Robotics Global Robotics Delivery, Product Managers are the owners of the features they build and closely collaborate with Data and Applied Science, Engineering, Project Management, and customers to set strategy, define, design, and directly manage all aspects of the customer experience. A successful candidate will be customer obsessed, highly analytical, have experience defining and delivering media/mobile/web products quickly and at scale, and be adept at synthesizing a variety of technologies and capabilities into high quality, simple products and applications that customers love. An ideal candidate will also have experience in operations research, supply chain, and/or manufacturing. You will be able to translate a big vision for the future into a simple set of features we can launch iteratively and experimentally, and know how to build support for your vision while taking input from other creative contributors. This role will own underlying discovery technologies for supply chain and delivery science, and have a deep understand of the commercial product landscape. Key job responsibilities - Partner with key stakeholders to define and track the product roadmap and key performance indicators (KPIs) - Translate customer insights and business strategy into clearly defined product requirements - Work closely with Data and Applied Scientists, Engineering teams, and customers in an agile environment to develop and deliver innovative solutions - Develop crisp and detailed business requirements and user stories that can be used to create product specifications, design and architecture - Manage prioritization and trade-offs to ensure delivery of a great customer experience - Manage day-to-day cross-functional relations, to ensure the product roadmap and prioritization are understood and implemented effectively - Interface and collaborate with teams across Amazon Robotics and partner organizations - Operate with a high degree of autonomy and ambiguity About the team The Robotics Operations Data Solutions (RODS) team supports the mission of the Quality, Technology, and Strategy (QTS) organization within Global Robotics Delivery (GRD) by providing the data infrastructure, advanced analytics, and scientific modeling needed for Robotics Manufacturing Technical Operations (RMTO), Robotics Supply Chain (RSC), and other customer teams in Fulfillment Technologies & Robotics (FTR) to make efficient, cost-optimized, data-driven decisions. We are a cross-functional team of Business Intelligence Engineers, Data Engineers, and Data Scientists with skills that span the complete data lifecycle. BASIC QUALIFICATIONS - Bachelor's degree - Experience owning/driving roadmap strategy and definition - Experience with feature delivery and tradeoffs of a product - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience managing technical products or online services - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning PREFERRED QUALIFICATIONS - Experience in using analytical tools, such as Tableau, Qlikview, QuickSight - Experience in building and driving adoption of new tools Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Outbound Communications organization is seeking a highly motivated Senior Research Scientist. In Outbound, we are innovating and building scientific solutions to delight Amazon customers with timely, highly personalized and relevant messages across digital channels such as email, mobile push notifications, WhatsApp and SMS. As a Sr. Applied Scientist in Outbound, you will architect and develop the scientific models for the next generation Outbound message management service that sends 100s of millions of communications (push, email, etc) to worldwide Amazon customers everyday plausibly within minutes of customer-actions on The models handle decisions such as scheduling and optimization across message-ranking, timing and frequency across these messages that drive $20B+ of annual revenue for Amazon. You will use techniques such as reinforcement learning and multi-armed bandits (MAB) to optimize long-term engagement of customers with Amazon. The models and architecture you build ensure a high bar for customer experience through scientifically established guardrails that would use large language models (LLMs). You will own and present research artifacts to internal and external science forums, along with influencing senior leadership and stakeholders for strategic decision-making. Key job responsibilities As a Sr. Applied Scientist in Outbound, you will design and develop science models in a highly ambiguous message-management domain that handles scheduling and dispatch decisions of 100s of millions of messages everyday. These models will decide what messages we send to customers, at what times, and through what channels to optimize the long-term customer engagement. You will research and apply state of the art modeling methods such as reinforcement learning, bandits, neural networks, causal modeling methods and LLMs to optimize the message selection, timing and channel of communication for customers. At the crux of architecting these models is influencing the software design of the new message management service responsible to send these messages to customers in span of minutes from when a customer takes actions on-site. You will partner closely with the software engineering and product managers to come up with an ideal design of science architecture that considers design tradeoffs in context of software constraints and user requirements. You will design and analyze experiments that enable quick iteration of model development and learnings as Outbound's message-management service evolves. You will present scientific findings to senior leaders; and technical, business and product stakeholders to guide for decisions that maximize benefits for Amazon in the long-run. You will mentor junior scientists in the team. You will coordinate with broader Amazon science teams to align your research and scientific design choices with the broader Amazon's customer objectives. You will document and publish your research-driven artifacts to influence the scientific community in and outside of Amazon. BASIC QUALIFICATIONS - PhD and 4+ years, or Master's degree and 8+ years of industry experience in a quantitative discipline. - 4+ years of experience investigating the feasibility of applying scientific principles and concepts to business problems. - 4+ years of experience with advanced machine learning methods such as neural networks, reinforcement learning, natural language processing. - 4+ years of experience with programming languages such as python, C++, Java. - 4+ years of experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc. - 2+ years of experience communicating findings and details of quantitative research methods to non-quantitative audience PREFERRED QUALIFICATIONS - 2+ years of experience with discrete and continuous optimization methodologies and algorithms - 2+ years of experience working in software system design. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Are you looking for an innovative, fast-paced, highly-collaborative environment? If so, come join Worldwide Retail Growth and Development! The Worldwide Retail Growth and Development team is responsible for the strategic planning, acquisition, design, construction, launch, and maintenance of Amazon Worldwide Grocery Stores' real estate assets. This includes Whole Foods Market, Amazon Grocery Stores, and Amazon Grocery Logistics. We are looking for a Sr. Product Manager - Tech to align the vision and set the roadmap for grocery network expansion products that will be used to drive the strategy and optimization of real estate for instore and online grocery demand. This role will heavily partner with our research science team, software development team, real estate managers, finance partners, and site research team. This role requires deep domain expertise in retail and online demand optimization modeling, deploying ML algorithms for use by non-technical customers, and end-to-end 1P product development. This role requires strong business and financial acumen. Setting a strong vision that stakeholders can rally behind will be paramount to successfully navigate ambiguity and drive results for customers. Additionally, this role will also manage the licensing and contracts of 3P data sets and geo-spatial tools. This role will directly impact the long term strategy and success of Amazon's grocery ventures. Key job responsibilities - Own end-to-end product strategy, roadmap, and customer engagement for grocery network expansion and location products - Develop and maintain a 3-yr roadmap aligned with organizational goals and priorities - Deeply understand the customer need, and translating that into technical requirements that can be developed by tech/science teams - Develop and track key performance indicators to measure product success and customer impact - Identify complementary use cases across Amazon to extend product value About the team The Retail Growth & Development team is at the forefront of expanding and optimizing Amazon's physical retail presence. We oversee strategic planning, development, and operations for a diverse portfolio of grocery stores and logistics facilities. Our team combines innovative thinking with operational excellence to create exceptional shopping experiences for customers. We're passionate about sustainable growth and committed to building the future of retail through collaboration, creativity, and customer obsession. BASIC QUALIFICATIONS - Bachelor's degree - Experience owning/driving roadmap strategy and definition - Experience with feature delivery and tradeoffs of a product - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience managing technical products or online services - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning PREFERRED QUALIFICATIONS - Experience in an operational environment developing, fast-prototyping, piloting and launching analytic products - Experience in building and driving adoption of new tools - 5+ years of technical product or program management experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Join us in the evolution of Amazon's Seller business! The Seller Growth Science organization is the growth and development engine for our Store. Partnering with business, product, and engineering, we catalyze SP growth with comprehensive and accurate data, unique insights, and actionable recommendations and collaborate with WW SP facing teams to drive adoption and create feedback loops. We strongly believe that any motivated SP should be able to grow their businesses and reach their full potential supported by Amazon tools and resources. We are looking for a Senior Applied Scientist to lead us to identify data-driven insight and opportunities to improve our SP growth strategy and drive new seller success. As a successful applied scientist on our talented team of scientists and engineers, you will solve complex problems to identify actionable opportunities, and collaborate with engineering, research, and business teams for future innovation. You need to be a sophisticated user and builder of statistical models and put them in production to answer specific business questions. You are an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication. You will continue to contribute to the research community, by working with scientists across Amazon, as well as collaborating with academic researchers and publishing papers (). Key job responsibilities As a Sr. Applied Scientist in the team, you will: - Identify opportunities to improve SP growth and development process and translate those opportunities into science problems via principled statistical solutions (e.g. ML, causal, RL). - Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in MLOps. - Design and lead roadmaps for complex science projects to help SP have a delightful selling experience while creating long term value for our shoppers. - Work with our engineering partners and draw upon your experience to meet latency and other system constraints. - Identify untapped, high-risk technical and scientific directions, and simulate new research directions that you will drive to completion and deliver. - Be responsible for communicating our science innovations to the broader internal & external scientific community. BASIC QUALIFICATIONS - 4+ years of applied research experience - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Over the past 20 years, Amazon has reinvented on behalf of the consumer and has become one of the largest internet retailers in the world. Amazon is now reinventing on behalf of the business customer and is building the most innovative Business-to-Business (B2B) online store in the world. At Amazon Business, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech and retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations reimagine buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes, unlocking our potential worldwide. The Analytics Data Product & Tech (ADAPTech) team is a strategic partner to the WW Sales organization, playing a key role in driving sales productivity through three primary workstreams. First, the Analytics team provides data-driven insights and reporting tools to measure business, customer, and employee performance. Second, the Products and Science team develops transformative tools that help Account Executives (AEs) to prioritize accounts, recommend product features, and engage more effectively with customers. Finally, the Data Management and Governance teams ensure AEs have access to accurate and enriched customer information across our tools. We're seeking an Applied Scientist to join our team to improve the productivity and efficiency of AEs. You'll be part of expanding GenAI capabilities and scaling its impact across global markets. A successful Applied Scientist at Amazon demonstrates bias for action and operates in a startup environment, with leadership skills, and proven ability to build and manage medium-scale modeling projects, identify data requirements, build methodology and tools that are statistically grounded. We need great leaders to think big and design new solutions to solve complex problems using machine learning (ML) and Generative AI techniques to improve our customers' experience when using AB. You have hands-on experience making the right decisions about technology, models and methodology choices. Key job responsibilities As an Applied Scientist, you will primarily leverage machine learning techniques and generative AI to outreach customers based on their life cycle stage, behavioral patterns, and purchase history. You may also perform text mining and insight analysis of real-time customer conversations and make the model learn and recommend the solutions. Your work will directly impact the trust customers place in Amazon Business. You will partner with product management and technical leadership to identify opportunities to innovate customer journey experiences. You will identify new areas of investment and work to align product roadmaps to deliver on these opportunities. As a science leader, you will not only develop unique scientific solutions, but also play a crucial role in shaping strategies. Additional responsibilities include: -Design, implement, test, deploy and maintain innovative data and machine learning solutions to further the customer experience. -Create experiments and prototype implementations of new learning algorithms and prediction techniques -Develop algorithms for new capabilities and trace decisions in the data and assess how proposed changes could potentially impact business metrics to cater needs of Amazon Business Sales -Build models that measure incremental value, predict growth, define and conduct experiments to optimize engagement of AB customers, and communicate insights and recommendations to product, sales, and finance partners. A day in the life In this role, you will be a technical expert with significant scope and impact. You will work with Technical Product Managers, Data Engineers, other Scientists, and Salesforce developers, to build new and enhance existing ML models to optimize customer experience. You will prototype and test new ideas, iterate quickly, and deploy models to production. Also, you will conduct in-depth data analysis and feature engineering to build robust ML models. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience with SQL, Python and Data Warehouse - Experience in building text/speech recognition, machine translation and natural language processing systems (e.g., emails, phone conversations) PREFERRED QUALIFICATIONS - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning - Experience working on personalisation, customer journey analysis and realtime chatbot interactions. - Experience building applications leveraging GenAI Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

At Amazon we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright and driven people. If you would like to help us build the place to find and buy anything online, this is your chance. We're seeking a Senior Product Manager - Technical (Sr. PMT) to join our Retail Foundations (RFS) Product Team. RFS powers the critical systems enabling to source millions of products from vendors worldwide, ultimately delighting our customers. Key Responsibilities: • Drive innovative solutions that enhance our vendor management and procurement systems • Lead strategic initiatives that directly impact operational metrics and P&L performance • Partner with vendor management, supply chain leadership, technology teams, and cross-functional stakeholders • Apply product management and Lean Six Sigma principles to optimize the vendor experience • Transform business requirements into scalable technical solutions The Ideal Candidate Will Have: • Proven track record in technical product management • Experience delivering large-scale software solutions • Strong analytical and problem-solving capabilities • Excellent written and verbal communication • Ability to influence and drive consensus across multiple teams • Strategic thinking combined with tactical execution skills BASIC QUALIFICATIONS - 5+ years of product or program management, product marketing, business development or technology experience - Bachelor's degree - Experience with feature delivery and tradeoffs of a product - Experience owning/driving roadmap strategy and definition - Experience with end to end product delivery - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience managing technical products or online services - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning PREFERRED QUALIFICATIONS - Experience in using analytical tools, such as Tableau, Qlikview, QuickSight - Experience in building and driving adoption of new tools Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon Science gives you insight into the company's approach to customer focused scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It's the company's ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work. Please visit for more information. Are you an expert in Natural Language Processing (NLP) and Large Language Models (LLM)? Are you interested in building Agentic AI solutions on complex business problems that have significant global benefit. The Brand Protection team designs and builds high performance AI systems using LLM and machine learning that identify and prevent abuse and counterfeit on behalf of brand owners worldwide. We are looking for a highly talented scientist to help build of our vision for agent-based intellegent automation. As a senior applied scientist on the team, you will use NLP and LLM techniques to built automated AI solutions that thinks like human to assist decision making and eventually make autonomous decisions that impacts millions of brands, selling partners and customers. You will work backwards from data insights and customer feedback to build the right machine learning solutions, collaborate with other domain experts in finding innovative solutions to unsolved problems. You will work closely will product team and engineering partners to launch the solution into production and owning the end-to-end solution. An ideal candidate should have extensive experience driving large-scale Machine Learning initiatives, specially in GenAI and LLM applications, from conception to launch in a rapidly evolving environment. Amazon's growth requires leaders who move fast, have an entrepreneurial spirit to create new solutions, have an unrelenting tenacity to get things done, and are capable of breaking down and solving complex problems. Major responsibilities: - Understand business challenges by analyzing data and customer feedback - Collaborate with tech and product teams on building ML strategies, experimentation, implementation and continuous improvement - Analyze and extract relevant information from large amounts of both structured and unstructured data to design strategies to solve business problems. - Use NLP, LLM and machine learning techniques to create scalable solutions for business problems - Create business and analytics reports and present to the senior management teams - Research and implement novel AI solutions and publish research papers About the team Here at Selling Partner Services, we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees in chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our DEI Ambassador Program. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. BASIC QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 4+ years of building machine learning models or developing algorithms for business application experience - 3+ years of building machine learning models for business application experience - Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) - Experience with neural deep learning methods and machine learning - Experience programming in Java, C++, Python or related language - PhD, or Master's degree and 6+ years of applied research experience - 5+ years of applied research experience PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Every day, millions of brands, sellers, and customers rely on Amazon's marketplace integrity. The Intellectual Property Protection (IPP) team's vision is to build a world free of counterfeits and infringing products - where customers feel confident about every purchase and brands can safely grow their businesses. Our team designs and builds high-performance software systems using machine learning to identify and prevent abuse on behalf of brand owners worldwide. We are looking for a motivated, entrepreneurial, high-judgment Principal Product Manager - Tech to lead the next generation of seller-facing protections and enforcement transparency. In this role, you will own end-to-end product strategies that enable fair enforcement, reduce seller friction, and improve clarity and consistency in how IP-related actions are communicated and remediated. You will develop new scalable solutions and intuitive experiences that help sellers understand, appeal, and avoid violations-strengthening trust in the enforcement process while upholding catalog integrity. Key job responsibilities As a Principal Product Manager - Tech for Seller Experience, you will: • Define and drive technical product strategy for seller-facing systems and interfaces that support scalable, fair, and comprehensible IP enforcement • Manage the effectiveness metrics and business impact of seller experience improvements across Amazon's global stores • Create, prioritize, communicate, manage, and execute roadmaps for tools and messaging systems that support sellers through enforcement lifecycles • Bring innovative ideas to protect brand integrity while ensuring legitimate sellers can succeed with clear guidance and fair recourse • Report progress and influence decisions with executive leadership, representing both enforcement goals and seller trust metrics • Work closely with ML scientists, engineers, and policy teams to invent remediation and prevention solutions that are technically sound and policy-aligned • Interface with global brands and sellers to understand requirements, pain points, and evolving abuse patterns • Set clear, measurable quality goals for seller transparency, resolution speed, and experience satisfaction • Drive technical decisions that balance customer trust, seller fairness, and operational efficiency About the team The Intellectual Property Protection (IPP) team is at the forefront of Amazon's efforts to ensure that customers can shop with confidence and that brands and sellers can thrive on a fair, trusted platform. Every day, millions of customers rely on Amazon to deliver authentic products-while millions of sellers and brands trust Amazon to protect their rights and reputations. Our mission is to detect, prevent, and remediate IP violations at scale, balancing brand protection with fair treatment for sellers and a seamless experience for customers. Our solutions range from advanced machine learning systems that detect bad actors to scalable enforcement tooling and messaging systems that support transparency and fairness. We work across legal domains (trademark, copyright, patent, design rights) and geographies, navigating complex regulatory environments while maintaining a relentlessly customer-obsessed lens. BASIC QUALIFICATIONS - 8+ years of technical product or program management experience - Bachelor's degree - Experience owning/driving roadmap strategy and definition - Experience technical product management - Experience with end to end product delivery - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience leading cross-organizational programs and setting and holding teams and individuals to timelines and deliverables without explicit authority - Experience as a strong leader who can prioritize well, communicate clearly and effectively influence across cross-functional teams - Experience with feature delivery and tradeoffs of a product PREFERRED QUALIFICATIONS - Experience working directly with Engineers on product enhancements - Experience in project management methodologies, business analysis, or process improvement - Master's Degree in Computer Science, AI/ML, or related technical field - Experience with large-scale ML systems and model deployment - Deep understanding of security, fraud detection, or abuse prevention technologies - Demonstrated ability to successfully influence stakeholders without formal authority, leading cross-functional teams across business units - Experience in building and driving adoption of new technical solutions - Experience representing and advocating for various stakeholders during executive-level prioritization and planning - Experience contributing to engineering discussions around ML architecture decisions and strategy - Understanding of global intellectual property protection challenges and regulatory landscape - Experience designing friction-reducing experiences for sellers and developing appeal or remediation pathways - Familiarity with Amazon Selling Partner tools and seller-facing product lifecycles Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $161,900/year in our lowest geographic market up to $279,900/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Amazon Regulatory Intelligence, Safety, and Compliance (RISC) team is seeking an exceptional Applied Scientist to tackle complex compliance challenges. In this high-impact role, you will leverage your deep technical expertise and customer-obsessed mindset to design and evaluate state-of-the-art algorithms in risk modeling, computer vision, and natural language processing. You will translate complex business requirements into well-defined science problems and work collaboratively with product, engineering, and business stakeholders to drive real-world impact. Staying at the forefront of applied machine learning, you will continuously adapt your skills to tackle new challenges. Contributing to Amazon's scientific thought leadership, you will author high-quality research papers for internal and external conferences. This is an opportunity to apply your technical skills in a fast-paced, highly collaborative environment, making a meaningful difference in the lives of Amazon's customers. If you have a passion for solving complex problems and a customer-centric approach, we encourage you to apply for this exciting role. Key job responsibilities - Explore the use of reinforcement learning, multi-agent systems, and meta-learning to build autonomous AI agents that can adapt to new challenges and support complex decision-making. - Design and evaluate state-of-the-art algorithms and approaches in risk modeling, using techniques such as graph neural networks, deep learning, and boosted trees to detect anomalies, fraud, and policy violations. - Develop advanced multi-modal and large language models to classify product content, understand customer intent, and retrieve relevant information. - Collaborate closely with product managers, engineers, and business stakeholders to validate hypotheses, drive adoption, and maximize the real-world impact of your work. - Translate complex product and customer experience requirements into well-defined, measurable science problems and KPIs, contributing to Amazon's scientific thought leadership through high-quality research papers. A day in the life - Understanding customer problems, project timelines, and team/project mechanisms - Proposing science formulations and brainstorming ideas with team to solve business problems - Writing code, and running experiments with re-usable science libraries - Reviewing labels and audit results with investigators and operations associates - Sharing science results with science, product and tech partners and customers - Contributing to team retrospectives for continuous improvements - Participating in science research collaborations and attending study groups with scientists across Amazon BASIC QUALIFICATIONS - PhD, or Master's degree and 5+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - 7+ years of building machine learning models for business application experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Passionate about books? The Amazon Books Store Experience team is looking for a talented Economist to help invent, design, and measure innovative science solutions to make it easier for millions of customers to find the next book they will love. Key job responsibilities In this role you will: - Partner with cross-functional teams to leverage advanced economic and causal modeling techniques, to drive business insights and decision-making. - Conduct in-depth research and analysis on large, complex data sets to understand customer behavior, pricing dynamics, and the incremental impact of business programs and initiatives. - Design, implement, and maintain scalable econometric and machine learning solutions to automate and improve key measurement and optimization capabilities. - Effectively communicate analysis, insights, and recommendations to influence senior leadership, business strategy and roadmap prioritization. About the team The Books Store Experience team is a core team developing the frameworks and technologies used by dozens of partner teams to develop the best shopping experience for our books customers. The books organization is the oldest organization at Amazon serving customers from the very beginning. This team has a wealth of experience in Amazon and is constantly evolving the technologies we use in order to best serve our customers. BASIC QUALIFICATIONS - PhD in economics or equivalent PREFERRED QUALIFICATIONS - Experience in industry, consulting, government or academic research - Experience in analytics and applied economics - Experience in developing and executing an analytic vision to solve business-relevant problems - Experience in building statistical models using R, Python, STATA, or a related software - 5+ years of industry, consulting, government, or academic research experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Customers love discovering what is trending, esp. shopping in categories like fashion where customers are looking for inspiration and fashionable styles. Trending products spark curiosity, build confidence, and reassure them they're making smart choices. Highlighting these trending items and brands on Amazon not only satisfies their desire to stay current but also enhances the overall shopping experience, driving deeper engagement. This newly formed charter in North America Store (NAS) focuses on developing various LLM and ML-driven trend signals (e.g. vital trends, fashionable trending styles, seasonable trends, locale trends, sports or events/holiday trends, niche and trending brands) and solutions leveraging both Amazon internal and external world knowledge to help customers easily discover trending brands and products on Amazon, and enable us to surface these high-interest products in real time and empower any team across Amazon to tap into this intelligence for their specific use cases. In addition, we're in this early stage of exploring exciting opportunities to build AI agents to provide marketing and other clients trend insights to assist clients making the right business decisions. We're looking for a lead Sr. Applied Scientist who can play the thought leadership role for this ML-focused Trends program as well as collaborating with Product leaders, engineering teams and other scientists to deliver scalable solutions with large business and customer impact. Key job responsibilities - Lead complex projects that design and build LLM and ML solutions identifying trending themes and recommendations, as well as AI agents to provide trends insights. - Collaborate with own and partner teams on customer-facing experiences that will utilize the data and ML models to better serve customers discovery needs on trending products and brands. - Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management. - Drive continued scientific innovation as a thought leader and practitioner. - Provide technical and career development guidance to scientists and engineers in the organization. About the team This newly formed charter in North America Store (NAS) focuses on developing various LLM and ML-driven trend signals (e.g. vital trends, fashionable trending styles, seasonable trends, locale trends, sports or events/holiday trends, niche and trending brands) and solutions leveraging both Amazon internal and external world knowledge to help customers easily discover trending brands and products on Amazon, and enable us to surface these high-interest products in real time and empower any team across Amazon to tap into this intelligence for their specific use cases. In addition, we're in this early stage of exploring exciting opportunities to build AI agents to provide marketing and other clients trend insights to assist clients making the right business decisions. BASIC QUALIFICATIONS - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Operations is at the heart of Amazon's business. We are known for our speed, accuracy, and exceptional service. Our buildings deliver tens of thousands of products to hundreds of countries worldwide, every day. The Reliability & Maintenance Engineering (RME) team are the business partners that work tirelessly behind the scenes to make it happen. We drive continuous improvement, and maintain all of the robotics and material handling equipment (MHE) to ensure our customers are met with the Amazon smile. Come join us on our journey! About the Role: As a Senior Automation Engineer, you will play a crucial role in maximizing equipment reliability and operational performance in our fulfillment centers by providing proactive controls automation and technical support. Your expertise will be essential in troubleshooting complex control systems, analyzing performance metrics, and driving continuous improvement initiatives. You'll mentor junior engineers and lead cross-functional teams to optimize material handling equipment (MHE) systems, implement innovative projects, and develop system design improvements to enhance site throughput. You'll work with state-of-the-art technology, including conveyors, sortation systems, scanners, cameras, print and apply systems, and SCADA devices and programs. Through your technical leadership and design optimization efforts, you'll directly contribute to ensuring our customers receive their orders with Amazon's signature speed and accuracy while building team capabilities and driving operational excellence. What Do We Offer? Amazon offers competitive compensation packages including comprehensive healthcare benefits starting on Day 1, matching 401(k) program, and up to 20 weeks of paid parental leave. But wait, there's more: We provide lightweight fire-resistant daily wear and composite toe safety shoes for your safety! Key job responsibilities Responsibilities include, but are not limited to: - Serve as the site expert for maintaining automation systems critical to operations - Collaborate with building Operations, Operations Engineering teams, FC Start-up Team, AFT Software teams, ACES team, and Safety to support MHE systems optimization and project implementation - Understand, maintain and troubleshoot material handling control systems, including PLC/PC controllers and industrial networks such as Ethernet, ControlNet, DeviceNet, Profibus, motor control systems, servo drives, frequency drives, and electrical distribution systems - Monitor MHE metrics and partner with maintenance/operations to address system performance issues and provide analysis across all operations - Provide second-level escalation support to site technicians and automation engineers, both locally and remotely - Appropriately escalate downtime situations to vendors or headquarters for support to restore equipment operation. - Facilitate Failure Analysis and Incident Review processes to drive continuous improvement - Perform and analyze building System Assessments to enhance material handling system performance - Communicate technical issues and project timelines clearly to building managers, operations staff and maintenance teams At Amazon, we continuously strive to make sure our opportunities are open to all. We treat all job applications equally, and are always delighted to welcome a new Amazonian. Apply to join our close-knit team and your Amazon RME adventure will begin from day one. Where it goes and what it looks like is up to you! BASIC QUALIFICATIONS - Bachelor's degree in electrical or mechanical engineering, engineering technology or equivalent, or 4+ years of professional or military experience - Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 4+ years of PLC programming or automation engineering experience - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - 2+ years of process or production environment related PLC-controlled automation and issue diagnosis experience - 2+ years of robotics work cells and control systems experience - 2+ years of Siemens, Allen-Bradley or Codesys Ladder Logic and structure programming experience - 2+ years of electrical theory, robotics, controls components, and automated equipment experience - Experience with a Computerized Maintenance Management System (CMMS) PREFERRED QUALIFICATIONS - Advanced degree in computer science, electrical engineering, automation engineering - Experience acting in a team lead capacity, supporting, training, and mentoring less experienced automation engineering professionals - Experience with HMI and control network components, including maintenance, troubleshooting, programming and design - Experience identifying, maintaining, troubleshooting, and modifying Motor Controls including motor starters, Variable Frequency Drives, DC drives, and standard electrical components - Hands-on industrial electrical experience, including 480V 3-phase, 110 VAC, and 24VDC systems - Experience interpreting, modifying, and developing mechanical and electrical drawings - Experience identifying, maintaining, and utilizing SCADA systems and KPIs - Experience with programming software such as RSLogix5000, Studio 5000, FT View, and other controls software platforms - Experience in controls design or programming - Systems integration experience - Field service engineering or systems training experience - Experience supporting various conveyors and sortation systems - Excellent written, verbal and customer service skills - Proven track record in remote technical support - Experience driving continuous improvement or programmatic solutions in relation to automated equipment - Experience with advanced automation controls systems and industrial robotics - Experience with Automated Storage and Retrieval Systems (ASRS) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $102,600/year in our lowest geographic market up to $163,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Operations is at the heart of Amazon's business. We are known for our speed, accuracy, and exceptional service. Our buildings deliver tens of thousands of products to hundreds of countries worldwide, every day. The Reliability & Maintenance Engineering (RME) team are the business partners that work tirelessly behind the scenes to make it happen. We drive continuous improvement, and maintain all of the robotics and material handling equipment (MHE) to ensure our customers are met with the Amazon smile. Come join us on our journey! About the Role: As a Senior Automation Engineer, you will play a crucial role in maximizing equipment reliability and operational performance in our fulfillment centers by providing proactive controls automation and technical support. Your expertise will be essential in troubleshooting complex control systems, analyzing performance metrics, and driving continuous improvement initiatives. You'll mentor junior engineers and lead cross-functional teams to optimize material handling equipment (MHE) systems, implement innovative projects, and develop system design improvements to enhance site throughput. You'll work with state-of-the-art technology, including conveyors, sortation systems, scanners, cameras, print and apply systems, and SCADA devices and programs. Through your technical leadership and design optimization efforts, you'll directly contribute to ensuring our customers receive their orders with Amazon's signature speed and accuracy while building team capabilities and driving operational excellence. What Do We Offer? Amazon offers competitive compensation packages including comprehensive healthcare benefits starting on Day 1, matching 401(k) program, and up to 20 weeks of paid parental leave. But wait, there's more: We provide lightweight fire-resistant daily wear and composite toe safety shoes for your safety! Key job responsibilities Responsibilities include, but are not limited to: - Serve as the site expert for maintaining automation systems critical to operations - Collaborate with building Operations, Operations Engineering teams, FC Start-up Team, AFT Software teams, ACES team, and Safety to support MHE systems optimization and project implementation - Understand, maintain and troubleshoot material handling control systems, including PLC/PC controllers and industrial networks such as Ethernet, ControlNet, DeviceNet, Profibus, motor control systems, servo drives, frequency drives, and electrical distribution systems - Monitor MHE metrics and partner with maintenance/operations to address system performance issues and provide analysis across all operations - Provide second-level escalation support to site technicians and automation engineers, both locally and remotely - Appropriately escalate downtime situations to vendors or headquarters for support to restore equipment operation. - Facilitate Failure Analysis and Incident Review processes to drive continuous improvement - Perform and analyze building System Assessments to enhance material handling system performance - Communicate technical issues and project timelines clearly to building managers, operations staff and maintenance teams At Amazon, we continuously strive to make sure our opportunities are open to all. We treat all job applications equally, and are always delighted to welcome a new Amazonian. Apply to join our close-knit team and your Amazon RME adventure will begin from day one. Where it goes and what it looks like is up to you! BASIC QUALIFICATIONS - Bachelor's degree in electrical or mechanical engineering, engineering technology or equivalent, or 4+ years of professional or military experience - Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 4+ years of PLC programming or automation engineering experience - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - 2+ years of process or production environment related PLC-controlled automation and issue diagnosis experience - 2+ years of robotics work cells and control systems experience - 2+ years of Siemens, Allen-Bradley or Codesys Ladder Logic and structure programming experience - 2+ years of electrical theory, robotics, controls components, and automated equipment experience - Experience with a Computerized Maintenance Management System (CMMS) PREFERRED QUALIFICATIONS - Advanced degree in computer science, electrical engineering, automation engineering - Experience acting in a team lead capacity, supporting, training, and mentoring less experienced automation engineering professionals - Experience with HMI and control network components, including maintenance, troubleshooting, programming and design - Experience identifying, maintaining, troubleshooting, and modifying Motor Controls including motor starters, Variable Frequency Drives, DC drives, and standard electrical components - Hands-on industrial electrical experience, including 480V 3-phase, 110 VAC, and 24VDC systems - Experience interpreting, modifying, and developing mechanical and electrical drawings - Experience identifying, maintaining, and utilizing SCADA systems and KPIs - Experience with programming software such as RSLogix5000, Studio 5000, FT View, and other controls software platforms - Experience in controls design or programming - Systems integration experience - Field service engineering or systems training experience - Experience supporting various conveyors and sortation systems - Excellent written, verbal and customer service skills - Proven track record in remote technical support - Experience driving continuous improvement or programmatic solutions in relation to automated equipment - Experience with advanced automation controls systems and industrial robotics - Experience with Automated Storage and Retrieval Systems (ASRS) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $102,600/year in our lowest geographic market up to $163,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.