Sales Operations Manager, Amazon Ads - Sales Enablement

Amazon Ads is seeking an innovative, results-oriented professional with an excellent understanding of the digital advertising landscape to design, plan and execute operational strategy in support of the evolving Amazon Ads business. This person will work closely with Sales leadership and cross-functional teams to create and support initiatives to drive long-term growth for the US LCS advertising business, with the specific needs of the US LCS customer in mind. The ideal candidate is an excellent writer and communicator, a strategic thinker who works effectively with limited direction and is known for exercising impeccable judgment. The ability to think big, execute at a tactical level, and effortlessly collaborate with various disciplines across the organization is critical to be successful in this role.Key job responsibilitiesWe are looking for a Sales Operations Manager who will: • Act as a trusted advisor to collaborators, and translate business needs into clear project requirements that inform scalable and repeatable initiatives.• Oversee the development and expansion of select strategic initiatives within high-growth areas of the business, based on leadership input• Develop and implement programs, tools and analytics to increase sales productivity• Plan, design, and oversee the tactical execution of key initiatives, building and managing roadmap to achieve results• Identify gaps to goals, build mechanisms to close, implement change with peers within leadership, monitor impact, and enable ad sales to deliver on ambitious targets• Support ad hoc special projects as neededAbout the teamThe Regional Sales Ops Team's mission is to identify opportunities to accelerate revenue growth, drive efficiency, and to realize those opportunities through scalable strategies, mechanisms, and frameworks. The team is made up of individuals with a broad mix of experience and tenure, and we value collaboration, knowledge sharing, and partnership with our customers.BASIC QUALIFICATIONS- 5+ years of Microsoft Excel experience- Experience with sales CRM tools such as Salesforce or similar software- Experience defining, refining and implementing sales processes, procedures and policies or equivalent- Bachelor's degree in Business Administration, Finance, Economics, Computer Science, Engineering, or related field ...

Sales Planner, Live Sports Sales, Amazon Ads

Amazon Ads is one of our fastest growing businesses and offers advertisers a rich array of media solutions inclusive of premium Live Sports properties like Thursday Night Football, NASCAR, the NWSL, and NBA. The strategy and insights we deliver Live Sports advertisers foster meaningful connections with consumers - from discovery to loyalty - in a unique way versus any other sports media platform at scale. We believe that Live Sports advertising, when done well, enhances the customer experience with delightful discovery for viewing fans and compelling performance for advertisers.We’re looking for a driven and passionate Sales Planner to support our Live Sports Sales team surrounding our growing portfolio of sports properties (Thursday Night Football, NBA/WNBA NASCAR, NWSL, YES Yankees, and more). They will need to partner seamlessly across internal divisions and teams to support pan-Amazon business results benefiting our viewing fans and advertising customers.Key job responsibilities• Work with Live Sports Sales and clients to build sports media plans, managing both the internal inventory needs and financial/mix asks from clients and agencies• Collaborate with Sales, Operations, Product, and internal account teams in execution of all live sports ad deals• Manage pre and post-sale operations and decision making for the business, ensuring delivery, and managing to ad sales deal points • Distribute pre and post logs to all advertisers • Assist sales and account teams with campaign reporting and insights • Work with billing teams on invoicing and reconciliation About the teamAmazon Ads is dedicated to driving measurable outcomes for both brands and agencies through advertising. Our ad solutions — including sponsored content, premium video, audio and custom ads — leverage Amazon’s innovations and insights to find, attract, and engage meaningfully with audiences. We're all about helping brands reach the right audiences in the right places, without causing disruption. Our robust insights, expansive portfolio of properties, and comprehensive advertising solutions help advertisers interact and form relationships with customers – and give them a purposeful presence in customer’s lives.BASIC QUALIFICATIONS- 3- 5 years in sales account management working with agencies and clients in linear and digital ad deployment- 1-3 years in sports account management- Experience in ad sales planning systems- Proficient in media math- Experience managing proposals and liability- Customer service experience ...

SDE II, Sales AI

Are you interested in shaping the future of Advertising and B2B Sales? We are a growing science and engineering team with an exciting charter and need your passion, innovative thinking, and creativity to help take our products to new heights.Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our businesses driving long term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!We are building a central AI/ML organization for Amazon Advertising Sales and are seeking top engineering talent to build new, science-backed services to drive success for our customers. Our goal is to transform the way account teams operate by ingesting Generative AI throughout their end-to-end workflows.Why you will love this opportunity: Amazon has invested heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon's Retail and Marketplace businesses. We deliver billions of ads impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences; this is your opportunity to work within the fastest growing businesses across all of Amazon! Define a long-term engineering vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for engineering and product teams. This role combines engineering leadership, organizational ability, technical strength, product focus, and business understanding.Key job responsibilities- Collaborate in the design, implementation, and deployment of successful internet-scale systems and services to support advertising business.- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.- Contribute to building an infrastructure that facilitates end-to-end ML workflows, with a particular focus on Generative AI- Help define our secure, scalable and distributed systems.- Work across teams with senior engineers, UX designers, product managers and data scientists to deliver high impact projects.- Functionally decompose complex problems into simple, straight-forward solutions.- Share your knowledge of the most effective performance, scalability, architecture, and engineering patterns and methods.A day in the lifeYou will build scalable science services to integrate within account team workflows and UI systems. You will work with applied and data scientists developing sales intelligence powered by Generative AI, and put their models into production. You will oversee MLOps and monitoring of overall service health. You will partner with data teams to onboard new signals into our database, engineering teams to review high level and low level technical designs, and with sales leaders to understand our customer pain points and needs.About the teamSales AI is a central science and engineering organization within Amazon Advertising Sales that powers selling motions and account team workflows via a suite of AI/ML services. Sales AI is investing in a range of sales intelligence models, including the development of Generative AI-powered applications to integrate natural language prompts backed by Large Language Models (LLMs) throughout account team workflows.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

Security Engineer II, Amazon Stores AppSec

In Amazon Stores, we ship some of the widest arrays of technology found at any company. From amazon.com to world class machine learning pipelines, from digital healthcare to no-checkout retail, we push the boundaries of technology in every direction using the globe’s largest AWS deployment.As an AppSec engineer, you will collaborate with software development teams to ensure we keep our customers safe while developing these novel services. In a given day, you might be inspecting an application’s code for security issues, building a new framework to help our software developers build faster and more securely, or fine-tuning the design for a new service alongside its software developers.The ideal candidate combines technical acumen with an ability to lead by influence and communicate clearly. Technically, this person will be a security generalist with one or more areas of deep expertise. In their communication, they will clearly articulate risks to technical and non-technical audiences alike. Interpersonally, successful candidates will effectively harmonize disparate opinions while effectively prioritizing risks to guide their partners towards secure solutions.Our organization prizes its employees, and we show it through investing in work-life harmony. We have dedicated resources that consistently innovate in reducing on-call time and ensuring the team spend their time on the highest-value tasks. Join the stores AppSec organization to work hard, have fun, and make history!Key job responsibilities* Creating, updating, and maintaining threat models for a wide variety of software projects* Manual and Automated Secure Code Review, primarily in Java, Python and Javascript* Development of security automation tools* Adversarial security analysis using tools to augment manual effort* Security training and outreach for internal development teams* Security architecture and design guidance* Independently solve security problems that require novel methods or approaches* Influence your team’s and partners’ process, priorities, and choices to improve outcomesAbout the teamAbout Amazon Security:Diverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why Amazon Security?At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.The AA team partners with M&A organizations within Amazon during the post-close onboarding of newly acquired companies. These companies internalize into Amazon’s infrastructure more quickly than by utilizing the existing process of leveraging volunteer security certifiers. The application security bar of the onboarded companies will be higher due to having dedicated security engineers providing application security reviews, architecture design guidance, and internalization planning support.BASIC QUALIFICATIONS- Bachelor's degree in computer science or equivalent- Knowledge of networking protocols such as HTTP, DNS and TCP/IP- 3+ years of any combination of the following: threat modeling experience, secure coding, identity management and authentication, software development, cryptography, system administration and network security experience- Experience programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object oriented language ...

Security Engineer II, Application Security Automation

As a member of the Application Security Automation team, you will help provide automated security testing (SAST/DAST) solutions for all of Amazon. Our team’s goal is to empower both development and security teams with accurate security detections at the highest standards of quality in order to identify and eliminate risk across Amazon’s application portfolio. You will be responsible for performing security assessments and delivering new security detection rules to enhance our existing testing capabilities. This role will routinely challenge your technical background and critical thinking. You will be expected to collaborate with our team’s stakeholders in a fast-paced environment across many technology stacks and services to deliver scalable solutions.Key job responsibilities- Develop, curate, and improve application security detections (static and dynamic) to identify vulnerabilities at scale- Evaluate and recommend new security testing tools- Perform static and dynamic application security assessments to ensure the highest quality standard for our detection rule sets- Risk assessment and Threat Modeling- Develop, enhance, and interpret security standards and guidance- Demonstrate and promote security best practices, drive improvements of Amazon’s overall security architectureAbout the teamDiverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why Amazon Security At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Inclusive Team Culture In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.BASIC QUALIFICATIONS- 3+ years of any combination of the following: threat modeling experience, secure coding, identity management and authentication, software development, cryptography, system administration and network security experience- Bachelor's degree in computer science or equivalent- Knowledge of networking protocols such as HTTP, DNS and TCP/IP ...

Security Engineer, Specialized Business Services Security, Vulnerability Management

Amazon’s Specialized Business Services Security team is seeking an innovative Security Engineer to join our Vulnerability Management Team. In this position, you will focus on detection, assessment, triage and supporting remediation of vulnerabilities. You will work with a diverse set of security scanning tools to support our application security vulnerability detection capabilities. Your goal will be to deeply understand Amazon’s innovative Devices and Services to enhance our vulnerability detection capabilities throughout the Software Development Lifecycle (SDLC). You will partner with development teams to drive prioritization and remediation of vulnerabilities to help deliver secure products for our customers.Key job responsibilities- Developing and tuning custom, open source and third-party high quality automated detection tools (e.g. static analyzers, fuzzers, scanners, etc.) to perform variety of security vulnerability analysis (SAST, DAST, SCA, etc.) - Reviewing output of automated detection tools for accuracy - Analyzing public and private vulnerability disclosures to analyze impact on Amazon Devices and Services- Providing actionable long-term risk prioritization and mitigation guidance to drive security improvements at scale- Proposing mechanisms for integrating security detection tools into the development lifecycle- Collaborate with partners across Amazon to develop scalable solutions to security problemsAbout the teamDiverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why Amazon Security?At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.BASIC QUALIFICATIONS- 3+ years of programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object oriented language experience- Experience with any combination of the following: threat modeling, secure coding, identity management and authentication, software development, cryptography, system administration and network security- Bachelor's degree in computer science or equivalent- 3+ years hands-on experience in Vulnerability Management, Product Security and/or Application Security ...

Senior Account Manager, Amazon Devices Solutions

The Amazon Device Solutions (ADS) team is seeking a Senior Account Manager to drive complex account relationships and strategic initiatives in our rapidly growing B2B business. You will be responsible for defining and executing account strategies that accelerate the adoption of ADS products, including our digital signage solutions and other technologies. Working closely with our Product, Business Development, and Launch teams, you'll manage relationships with key business customers and technology partners to ensure their success with ADS solutions.Key job responsibilities- Define and execute complex account strategies to drive adoption of ADS products and services across enterprise customers- Build and maintain strategic relationships with senior-level stakeholders at key accounts and technology partners- Provide tailored recommendations that improve senior-leader account decision-maker experience (ADMX) and customer experience (CX)- Define and scale new business opportunities for existing and potential accounts- Drive alignment between customer needs and ADS product roadmap through close collaboration with Product and Engineering teams- Create and present business reviews and strategic recommendations to Director-level and above- Lead cross-functional initiatives to improve account management processes and playbooks- Actively mentor team members and contribute to the development of account management best practices- Manage complex problem resolution and strategic escalationsFollow this link to view more Amazon Device opportunities within our Operations and Supply Chain teams: https://www.amazon.jobs/content/en/teams/devices-services/operations-supply-chainA day in the lifeYour day might start with a strategic planning session for a major business account, followed by a business review with senior stakeholders. By midday, you could be collaborating with Product teams to align customer needs with our roadmap. The afternoon might involve mentoring team members and working on process improvements. Throughout the day, you'll balance strategic thinking with tactical execution, driving results while maintaining strong relationships with customers and internal teams.About the teamADS creates scalable, profitable B2B opportunities by leveraging Amazon's substantial investments in 1P devices, technologies, and infrastructure. Our mission is to empower businesses with connected devices and services that amplify their operations, business performance, and customer engagement. We are a team of innovators tackling difficult problems and building products through fast iteration in a startup-like environment within Amazon.BASIC QUALIFICATIONS- Experience with annual brand and media planning- Bachelor's degree or equivalent experience- 6+ years of relevant experience in account management or related customer-facing roles- Experience working with CMS providers and AV/System integrators- Experience working with vertical customers in Education, Retail, Corporate, and others- Proven track record of managing complex B2B relationships and driving business growth- Experience defining and executing account strategies with limited guidance- Excellent analytical skills with the ability to translate data into actionable insights- Experience managing cross-functional projects and stakeholders ...

Senior Ad Policy Manager, Advertising Trust Policy

Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of advertising solutions with the goal of helping our customers find and discover anything they want to buy. We believe that advertising, when done well, can enhance the value of the customer experience and generate a positive return on investment for our advertising partners. We are continually driving to develop advertising policies and standards that support this vision. We are looking for an enthusiastic, detail-oriented Ad Policy Manager with excellent analytical abilities, and strong ownership and organizational skills, to join Advertising Trust Policy.In this role, you will build and develop relationships with a variety of internal stakeholders to support the ad policy team’s work across the world. You will continuously advocate for our customers by resolving ad policy escalations; demonstrating excellent judgment and creativity. You will deliver internal training and ensure that training materials are up to date and localized. Your responsibilities will include tracking, analysis and reporting activities. You will build new policies, refine existing polices and develop policy standards. If you are looking for an Ad Policy position in a team that has a varied and exciting remit, and you are a self-starter that can solve issues with considerable autonomy and use influence over authority to deliver results, this is the role for you.Key job responsibilitiesBASIC QUALIFICATIONS5+ years’ experience in an ads regulator, risk management, compliance, policy enforcement or closely related field · 5+ years’ program or project management experience · 3+ years’ experience working with engineering teams · High level of proficiency with Microsoft Excel · Excellent organizational, interpersonal, and written and verbal communication skills with the ability to present complex technical and metadata information in a clear and concise manner to a variety of technical and non-technical audiences. ...

Senior AdTech Consultant, Amazon Marketing Cloud - Technical Solutions

Digital Advertising is one of the fastest growing areas at Amazon. Brands, agencies and partners are relying on our ad technology and we are seeking a seasoned Ad Technology Consultant to own enterprise engagements with our top customers and partners.In this role, you will obsess over enabling our customers to achieve their business outcomes through architecting, guiding and co-implementing solutions using the Amazon ad-tech stack and AWS Services You will be a client facing consultant to engineers and Analytics teams, while evangelizing to CTOs/CMOs, to drive integrations into our customers enterprise workflows and systems to deliver the most value. You are an expert in data and technology and how data is driving outcomes for marketers.RESPONSIBILITIES: - Engage customers – collaborate with Product and Sales managers to develop strong customer trust, vet requirements upfront, and drive excitement for the right ad tech solution that achieves the customer’s business outcomes. You will be equally adept at participating and driving executive level conversations about our ad technology capabilities with customers, as well as having in depth integration discussions with client-side engineering and analytics teams. - Manage and deliver ad tech integration engagements – you will have working knowledge of AWS services such as EC2, S3, RDS, CloudFormation and Sagemaker and functional knowledge of ad technology to drive implementation engagements. On more complex engagements, you will seek and drive partnership with AWS counterparts who have IT level relationships with our clients to provide an end-to-end joint solution. - Develop software code /scripts and / or build automation of analytics / dashboards to create custom solutions / insights for business outcomes / Assist with modeling for audiences, bidding, and measurement. - Drive usage and adoption – your integration engagements will enable usage of Amazon Advertising Technologies to activate advertiser’s campaign and marketing insights. You will continuously monitor the integration inputs you drive to measure the output of activation. - Be a customer advocate – you will take your learnings from customer engagements and work with Product and Sales teams to convey the voice of the customer and influence our roadmaps.BASIC QUALIFICATIONS- 7+ years of technical specialist, design and architecture experience- 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience- 7+ years of consulting, design and implementation of serverless distributed solutions experience- 5+ years of software development with object oriented language experience- 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience- 7+ years of external or internal customer facing, complex and large scale project management experience- Bachelor's degree, or 7+ years of professional or military experience ...

Senior Applied Scientist

Amazon's Next Generation Developer Experience (NGDE) Organization is looking for world class scientists and engineers to join its team to work on AI4Code, LLM, and natural language processing. This group is entrusted with developing core algorithms/capabilities for Amazon Q Developer. At NGDE's science team you will invent, implement, and deploy state of the art AI algorithms and systems for developers. You will build prototypes and explore conceptually new large scale AI solutions. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.About the teamAWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.BASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- 3+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Senior Applied Scientist , NOSO Science

Amazon Supply Chain forms the backbone of the fastest growing e-commerce business in the world. The sheer growth of the business and the company's mission "to be Earth’s most customer-centric company” makes the customer fulfillment business bigger and more complex with each passing year.The EU SC Science Optimization team is looking for an exceptionally talented Scientist to tackle complex and ambiguous optimization and forecasting problems for our EU/NA fulfillment network.The team owns the optimization of our Supply Chain from our suppliers to our customers. We are also responsible for analyzing the performance of our Supply Chain end-to-end and deploying Operations Research, Machine Learning, Statistics and Econometrics models to improve decision making within our organization, including forecasting, planning and executing our network. We work closely with Supply Chain Optimization Technology (SCOT) teams, who own the systems and the inputs we rely on to plan our networks, the worldwide scientific community, and with our internal EU stakeholders within Supply Chain, Transportation, Store and Finance.We are looking for an experienced candidate having a well-rounded-technical/science background, with a particular expertise in stochastic optimization and probabilistic forecasting, as well as a history of delivering complex scientific projects end-to-end, and is comfortable in developing long term scientific solutions while ensuring the continuous delivery of incremental model improvements and results in an ever-changing operational environment.As an Applied Scientist, you will design, develop and deploy robust and scalable scientific solutions via Operations Research and Machine Learning algorithms, especially in the context of stochastic customer demand and other sources of uncertainty requiring to move past deterministic optimization. You will partner with other tech and science teams, operations, finance to identify opportunities to improve our processes in order to drive efficiency improvements in our Fulfillment Center network flows.This role requires a self-starter aptitude for independent initiative and the ability to influence partner scientific and operational teams so to drive innovation in supply chain planning and execution. You are passionate, results-oriented, and inventive scientist who obsesses over the quality of your solutions and their fast and scalable implementation to address and anticipate customer needs.Key job responsibilitiesBuild state-of-the art, robust and scalable Stochastic Optimization and Probabilistic Forecasting algorithms to drive optimal planning under uncertainty and execution in Amazon end-to-end supply chainDesign and engineer algorithms using Cloud-based state-of-the art software development techniquesThink multiple steps ahead and develop for long term solutions while continuously delivering incremental improvements to existing onesPrototype fast, ensure early adoption via pilots, integrate feedback into the models, and iterateOperationalize (i.e. deliver) your science solutions by closely partnering with internal customers, understand their needs/blockers and influence their roadmapLead complex analysis and clearly communicate results and recommendations to leadershipAct as an active member of the science community by researching, applying and publishing internally/externally the latest OR/ML techniques from both academia and industryBASIC 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- 3+ years of building models for business application experience- 2+ years experience with Stochastic Optimization techniques (e.g. Stochastic Linear Programming, Stochastic Dynamic Programming) and ML for Probabilistic Forecasting- Sharp analytical abilities, excellent written and verbal communication skills- Ability to handle ambiguity and fast-paced environment ...

Senior Applied Scientist, Ads Core Services (ACS)

We're looking for an experienced Applied Scientist with exceptional technical, analytical, and innovative capabilities to research, design, and create elegant machine learning solutions. Your solutions will help our advertisers with multi-media and multi-lingual advertising offerings, leveraging Generative AI, Deep Neural Networks, Natural Language Processing (NLP), and Computer Vision (CV). You will build ML models that localize multi-media advertising contents, including text, images and videos. You will also identify opportunities to leverage ML beyond localization, including, international expansion and global advertising. Your work will directly impact our customers in the form of products and services used directly by our advertisers as well as our third-party integrators.Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our businesses driving long term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!The Advertiser Growth Engine (AGE) team owns and builds services and applications across Amazon World-Wide Advertising that make advertising across countries/languages as easy as flipping a switch. We are focused on: (1) expanding Amazon Ads advertiser base, and (2) eliminating localization, operational, and marketplace knowledge gap barriers for Advertisers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth globally.Key job responsibilitiesAs an Applied Scientist on this team, you will:- Build and deliver end-to-end machine learning solutions; build ML models and perform data analysis to deliver scalable solutions to business problems.- Work closely with senior leaders across science, engineering, and product disciplines to drive the team's roadmap and establish business requirements. - Perform hands-on analysis and modeling with enormous data sets to develop insights that increase traffic monetization and merchandise sales without compromising shopper experience.- Run A/B experiments that affect hundreds of millions of customers, evaluate the impact of your optimizations and communicate your results to various business stakeholders.- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.- Research new innovate machine learning approaches.BASIC QUALIFICATIONS- 5+ 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 ...

Senior Applied Scientist, Ads Measurement Science

The Ads Measurement Science team in the Measurement, Ad Tech, and Data Science (MADS) team of Amazon Ads serves a centralized role developing solutions for a multitude of performance measurement products. We create solutions which measure the comprehensive impact of their ad spend, including sales impacts both online and offline and across timescales, and provide actionable insights that enable our advertisers to optimize their media portfolios. We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision.As a Senior Applied Scientist on the team, you will lead measurement solutions end-to-end from inception to production. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers.Key job responsibilities- Lead a team of scientists to innovate on state-of-the-art ads measurement solutions leveraging artificial intelligence, causal inference, natural language processing, computer vision, and large language models.- Directly contribute to the end-to-end delivery of production solutions through careful designs and owning implementation of significant portions of critical-path code- Lead the decomposition of problems and development of roadmaps to execute on it.- Set an example for others with exemplary analyses; maintainable, extensible code; and simple, effective solutions.- Influence team business and engineering strategies.- Communicate clearly and effectively with stakeholders to drive alignment and build consensus on key initiatives.- Foster collaborations between scientists to move faster, with broader impact.- Actively engage in the development of others, both within and outside the team.- Regularly engage with the broader scientific community with presentations, publications, and patents.About the teamWe are a team of scientists across Applied, Research, Data Science and Economist disciplines. You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.Team Video: https://youtu.be/zD_6Lzw8raEBASIC QUALIFICATIONS- 5+ years of building machine learning models for business application experience- PhD, or Master's degree and 8+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Senior Applied Scientist, Amazon Connect

As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.Interested in Machine Learning (ML) and Artificial Intelligence (AI)? Do you want to join the team that is building AI/ML features that will disrupt the industry? Do you enjoy dealing with ambiguity and working on hard problems in a fast-paced environment?Our team is leading the AI features of Amazon Connect. We are a team of scientists and AI/ML engineers working on multiple AI/ML projects, using state-of-the-art science and engineering practices to solve hard problems for our customers in the space of contact center operations, management and optimization.Amazon Connect is a highly disruptive cloud-based contact center that enables businesses to deliver engaging, dynamic, and personal customer service experiences. Amazon Connect is a publicly available service based on ten years of development building the tools Amazon itself uses to provide its award-winning customer service. With Amazon Connect, businesses can create their own cloud-based contact centers and begin taking calls in minutes. With this technology, we are transforming an industry and the way customers interact with businesses and how agents service them. We are looking for a Senior Applied Scientist (Machine Learning) with a strong academic background and industry experience in the areas of stochastic modeling, queueing theory, anomaly detection and optimization.About the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field- 4+ years of building machine learning models or developing algorithms for business application experience- Knowledge of programming languages such as C/C++, Python, Java or Perl- Deep knowledge stochastic analysis, queueing theory and optimization. ...

Senior Applied Scientist, Artificial General Intelligence

The Artificial General Intelligence (AGI) team is looking for a Senior Applied Scientist to work on pre-training methodologies for Generative Artificial Intelligence (GenAI) models. You will interact closely with our customers and with the academic and research communities. You will be at the heart of a growing and exciting focus area for Amazon, working with other acclaimed engineers and world-famous scientists.Key job responsibilitiesJoin us to work as an integral part of a team that has diverse experience with GenAI models in this space. We work on these areas:- Scaling laws- Hardware-informed efficient model architecture, low-precision training- Optimization methods, learning objectives, curriculum design- Deep learning theories on efficient hyperparameter search and self-supervised learning- Reasoning, self-reflection, interactive learning, data synthesis- Distributed training methods and solutionsAbout the teamThe AGI team has a mission to push the envelope in LLMs and multimodal systems, in order to provide the best-possible experience for our customers.BASIC QUALIFICATIONS- PhD, or Master's degree and 5+ years of applied research experience- 3+ years of building machine learning models for business application experience- Experience with neural deep learning methods and machine learning- Experience programming in Java, C++, Python or related language- Experience with deep learning frameworks such as Pytorch and JAX. ...

Senior Applied Scientist, DS3, Generalist Agents Research Team

AWS AI/ML is looking for world class scientists and engineers to join its group working on deploying reinforcement (RL) and machine learning (ML) methods in real-world applications, studying, and building new approaches. Our vision is to advance the state-of-the-art in RL/ML especially as applicability of RL methods has not translated quite well to real world scenarios as they are known to be expensive to train, sample inefficient, sensitive to hyper-parameter settings, and lacking transferability to new tasks. Our team’s mission is to study these problems and make RL/ML approaches more robust and reliable. Building these solutions requires a solid foundation in machine learning and reinforcement learning technologies.We are seeking a Senior Applied Scientist for the team. This is a role that combines science knowledge (around machine learning and reinforcement learning), technical strength, and product focus. It will be your job to develop novel ML/RL systems and algorithms while working with the engineering team to integrate them into different projects. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.About the teamInclusive Team CultureAt AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded scientist and enable them to take on more complex tasks in the future.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 ...

Senior Applied Scientist, Product Knowledge

Lead the development of cutting-edge AI models to power Amazon's eCommerce ontology - the authoritative source of product knowledge driving exceptional customer experiences. Applied Scientists in this role solve problems related to product classification, attribute extraction, ontology modeling, data integration and enrichment, and scalable knowledge services. It's challenging due to the vast scale, heterogeneous data sources, and evolving domains, but exciting for pushing boundaries in ML, NLP, and knowledge representation research.If you're passionate about driving innovation at scale, we want to hear from you!Key job responsibilities- Lead the research and development of novel AI solutions to enrich and curate Amazon's product ontology (Product Knowledge) at scale- Develop scalable data processing pipelines and architectures to ingest, transform, and enrich product data from various sources (seller listings, customer reviews, etc.)- Collaborate with engineers to design and implement robust services- Work closely with product managers, stakeholders, and subject matter experts to identify opportunities for innovation and drive the roadmap for Product Knowledge- Mentor and upskill junior scientists and engineers, fostering a culture of continuous learning and knowledge sharing- Communicate complex technical concepts and research findings effectively to diverse audiences, including leadership, cross-functional teams, and the wider scientific community- Stay up-to-date with the latest advancements in machine learning, natural language processing, knowledge representation, and related fields, and identify opportunities to apply them to Product KnowledgeA day in the lifeThe Amazon product ontology is a structured knowledge base representing product types, attributes, classes, and relationships. It standardizes product data, enabling enhanced customer experiences through improved search and recommendations, streamlined selling processes, and internal data enrichment across Amazon's eCommerce ecosystem.You will work with following stakeholders:- Product Managers represent customer experiences and selling partner experiences- Category Leaders (e.g., apparel, electronics) provide domain knowledge and guidance as subject matter experts- Engineers build and maintain data pipelines and services in production- Ontologists design data models and define guidelines - Other Applied Scientists collaborate on research and innovationAbout the teamThe Product Knowledge team at Amazon is dedicated to creating the industry-standard eCommerce product and services ontology. Our diverse team of applied scientists, engineers, ontologists and subject matter experts build a comprehensive ontology enabling exceptional customer and selling partner experiences through high-quality, contextual product knowledge at scale.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 ...

Senior Applied Scientist, Sponsored Products Off-Search Supply Expansion

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP organization's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!Our team, SP Off-Search Supply Expansion and Creative (SPEC) team is responsible for Sponsored Products experiences expansion for store display placements, 1P surfaces such as Home Page, Checkout pages like HUC, TYP, Cart and shared placements on AAX owner slots. The team also owns UX for all Off Search placements. Spec owns SP Firebird Core Infra team working on SP creative optimization and personalized ASIN faceoutWe are looking for a passionate Senior Applied Scientist who has technical expertise in information retrieval, Natural Language Processing (NLP), and Large Language Models (LLM). In addition to having hands-on experience in building ML-based solutions, an ideal candidate should be able to create and articulate a customer-centric science vision, show willingness to continuously learn about new scientific approaches, and enjoy operating in startup-like environment.Key job responsibilities• Lead business, science and engineering strategy and roadmap for Sponsored Products Off-Search Supply Expansion and Creative optimization.• Drive alignment across organizations for science, engineering, and product strategy to achieve business goals.• Lead/guide scientists and engineers across teams to develop, test, launch and improve of science models designed to optimize the shopper experience and deliver long term value for Amazon and advertisers• Develop state of the art experimental approaches and ML models.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 ...

Senior Applied Scientist, Sponsored Products, Sponsored Products

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!Basic qualifications:* PhD degree with 4 years of applied research experience or a Masters degree and 6+ years of experience of applied research experience* 3+ years of experience in building machine learning models for business application* Experience programming in Java, C++, Python or related languagePreferred qualifications:* Advanced degree in Computer Science, Mathematics, Statistics, Economics, or related quantitative field.* Published research work in academic conferences or industry circles.* Experience in building large-scale machine-learning models and infra for online recommendation, ads ranking, personalization, or search, etc.* Technical leadership in machine learning.* Effective verbal and written communication skills with non-technical and technical audiences.* Experience working with real-world data sets and building scalable models from big data.* Thinks strategically, but stays on top of tactical execution.* Exhibits excellent business judgment; balances business, product, and technology very well.* Experience in computational advertising.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Key job responsibilitiesAs a Senior Applied Scientist on this team, you will:* Be the technical leader in Machine Learning; lead efforts within this team and across other teams.* Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.* Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.* Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.* Run A/B experiments, gather data, and perform statistical analysis.* Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.* Research new and innovative machine learning approaches.* Recruit Applied Scientists to the team and provide mentorship.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 ...

Senior BizDev & Partnerships Manager, Amazon Business

Come be a part of a rapidly expanding $35 billion dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business 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 and industries. Unlock your career potential.At Amazon Business, we are focused on building the world’s most customer-centric B2B store. We build solutions to enable business customers to discover, research, and purchase products from a competitive marketplace with a vast selection, across multiple devices and regions, and with an increasing array of customer-centric features and integrations. We already built a sizable customer base that ranges from sole traders to large Enterprises in a wide range of industries. To achieve the level of automation we desire for customers, the AB store requires a web of connections (“integrations”) with a variety of purchasing, invoicing, and procurement-related solutions. The AB Partnerships team works with B2B companies to create this web of connections and integrated solutions that improves the end-to-end B2B purchasing experience.We are looking for a high-caliber, results-focused business development executive with a talent for stakeholder management. This person will enjoy developing broad and strong relationships with external organizations and other parts of Amazon to find opportunities to grow Amazon Business. External B2B organizations may include eProcurement system providers, Invoicing solutions, consulting firms that undertake procurement-related work, trade associations, and travel and expense management software vendors. This individual will nurture and rapidly expand existing partnerships, establish new lead generation and customer acquisition opportunities, demonstrate results, and play an important role in shaping Amazon Business’s partnership strategy.Key job responsibilities• Identify technology and commercial opportunities with partners, defining business cases to justify investment where required, and drive rapid progress from team in executing against these opportunities.• Work with a select group of new and existing partners to define and execute joint sales and Go to Market (GTM) programs in different regions.• Engage assigned partners and their end customers to create and drive revenue opportunities for Amazon Business.• Set and manage partner revenue targets and work with Amazon Business sales organizations to achieve/exceed goals.• Manage a pipeline of partnership opportunities associated with assigned partner programs and solutions.• Understand the technical requirements of our partners and work closely with the internal development team to guide the direction of our product offerings and joint partner solutions.• Work with CRM systems, data warehousing, and other analytic tools to establish detailed metrics for tracking purposes.• Prepare and give business quarterly business reviews to the senior management team. Manage complex contract negotiations and serve as a liaison to the legal group.• Collaborate with, and influence, sales, marketing, product managers and other internal stakeholders.BASIC QUALIFICATIONS- Experience in developing, negotiating and executing business agreements- Experience influencing multiple stakeholders and leading cross functional teams across geographies and business units- Experience in setting up and managing a sales pipeline- Experience with business development, partnership management, or sourcing new business- 5+ years of experience working with the B2B ecosystem- Strong program and project management skills ...