New York

Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.This position will be part of the Conversational Ad Experiences team within the Amazon Advertising organization. Our cross-functional team focuses on designing, developing and launching innovative ad experiences delivered to shoppers in conversational contexts. We utilize leading-edge engineering and science technologies in generative AI to help shoppers discover new products and brands through intuitive, conversational, multi-turn interfaces. We also empower advertisers to reach shoppers, using their own voice to explain and demonstrate how their products meet shoppers' needs. We collaborate with various teams across multiple Amazon organizations to push the boundary of what's possible in these fields.We are seeking a science leader for our team within the Sponsored Products & Brands organization. You'll be working with talented scientists, engineers, and product managers to innovate on behalf of our customers. An ideal candidate is able to navigate through ambiguous requirements, working with various partner teams, and has experience in generative AI, large language models (LLMs), information retrieval, and ads recommendation systems. Using a combination of generative AI and online experimentation, our scientists develop insights and optimizations that enable the monetization of Amazon properties while enhancing the experience of hundreds of millions of Amazon shoppers worldwide. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!Key job responsibilities - Serve as a tech lead for defining the science roadmap for multiple projects in the conversational ad experiences space powered by LLMs- Build POCs, optimize and deploy models into production, run experiments, perform deep dives on experiment data to gather actionable learnings and communicate them to senior leadership- Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production- Work closely with product managers to contribute to our mission, and proactively identify opportunities where cutting edge science can help improve customer experience - Research new machine learning approaches to drive continued scientific innovation- Be a member of the Amazon-wide machine learning community, participating in internal and external meetups, hackathons and conferences- Help attract and recruit technical talent, mentor scientists and engineers in the teamBASIC 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 ...

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. ...

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. ...

The Automated Reasoning Group is looking for an Applied Scientist with experience in building scalable formal reasoning solutions that delight customers. You will be part of a world-class team building the next generation of tools and services by combining Automated Reasoning and Generative AI.AWS has the most services and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things.You will apply your knowledge to propose solutions, create software prototypes, and move prototypes into production systems using modern software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever-growing demand of customer use. You will use your strong verbal and written communication skills, are self-driven and own the delivery of high quality results in a fast-paced environment.Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. See https://aws.amazon.com/security/provable-security/As a Senior Applied Scientist in AWS AI, you will play a pivotal role in shaping the definition, vision, design, roadmap and development of product features from beginning to end. You will:* Define and implement new formal reasoning applications that employ scalable and efficient approaches to solve complex problems using Automated Reasoning and Generative AI technologies.* Apply software engineering best practices to ensure a high standard of quality for all team deliverables* Work in an agile, startup-like development environment, where you are always working on the most important stuff* Deliver high-quality scientific artifacts* Work with the team to lower the barrier of adoption for interactive theorem provers* Work with the team to help drive business decisionsLearn and Be Curious. We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.Inclusion and Diversity. Our team is diverse! We drive towards an inclusive culture and work environment. We are intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Team members are active in Amazon’s 10+ affinity groups, sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. These range from groups such as the Black Employee Network, Latinos at Amazon, Indigenous at Amazon, Families at Amazon, Amazon Women and Engineering, LGBTQ+, Warriors at Amazon (Military), Amazon People With Disabilities, and more.Key job responsibilitiesLead the design and implement scalable systems for formal reasoning and automated theorem proving.Collaborate closely with internal and external users to understand their requirements for formal verification and automated reasoning.Enhance and extend the capabilities of formal reasoning systems to meet application-specific demands.Proactively identify and explore new opportunities for deploying and leveraging formal reasoning solutions across various domains.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.Utility Computing (UC)AWS 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.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.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.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.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.BASIC QUALIFICATIONS- M.S. or Ph.D. degree in Electrical Engineering, Computer Science, Mathematics, or related technical field- At least 6 years of industrial/academic experience in interactive theorem proving, LLMs, and/or automated reasoning.- At least 6 years of experience with programming languages such as Rust, Python, C/C++ and open-source technologies and open-source technologies- At least 6 years of experience in design and analysis of algorithms and data structures ...

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 ...

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 ...

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 ...

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 responsibilitiesKey job responsibilities• Manage partner programs including technology and commercial opportunities with partners, and drive rapid progress from team in executing against strategic program goals.• 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- 5+ years of professional or military experience- Experience structuring and negotiating complex agreements and leading cross-functional groups to orchestrate and successfully complete deals- Experience working with technical and product stakeholders to define requirements, prioritize features, and influence product roadmaps ...

We are looking to hire an experienced, strategic Senior Copywriter to join the Brand Innovation Lab team. In this role, you’ll create custom campaigns for a wide range of Travel and Financial Services brands using the full Amazon canvas (i.e. Prime Video, TNF, Alexa, Twitch, IMDb, Amazon Music, Amazon Live), bringing to life innovative ad solutions that benefit the end customer while meeting client needs and pushing the creative envelope. As an expert in your craft, including creative ideation, brand storytelling, copy development, and pre/post content production, you will be involved in all aspects of campaign development including concepting, client presentations, design/tech reviews, video script writing, and selecting of external partners for creative production. In partnership with Brand Strategists, you will synthesize customer data to develop “never done before” ideas that work backwards from the end customer and deliver on advertiser objectives, leveraging research and 1P insights to come up with engaging experiences using the Amazon canvas in innovative ways. You will collaborate closely with Creative Directors, Design Technologists, Art Directors, and Solutions Managers to ideate and vet tactical ideas that use different Amazon platforms and partners to ensure feasibility, and work closely with Producers to ensure any ideas that require production are scoped, budgeted, and planned out before pitching to clients. You will also collaborate with clients to dive into their brand’s challenges to identify opportunities to deliver strategic, bespoke solutions that delight customers and have a meaningful impact on advertisers’ businesses—as well as identify ideas that can become repeatable for other advertisers.Key job responsibilitiesAccountable for end-to-end creative development, from pitch to launch, on BIL’s most complex campaigns· Articulate creative concepts and rationale internally and externally through well-developed presentation skills· Address the client’s needs, even when ambiguous, through creative concepts and presentations· Steward the client’s brand tone and voice through every stage of campaign development· Produce original copy and scripts with great attention to narrative consistency, voice, and tone for all campaign deliverables· Bring a deep understanding of the Amazon canvas to complex campaign solutions· Endorse copy accuracy and style guides on all deliverables· Foster creative passion, curiosity, and excellence through discussion of emerging trends, new technologies, and industry best practices· Proactively build partnerships with internal Amazon teams and external stakeholders· Collaborate across disciplines with team members at all levels· Provide leadership, mentoring, and coaching to junior level creatives A day in the lifeIn this client-facing role, you will often be presenting to Director-level brand, agency, and Amazonian stakeholders as well as leading presentations and productive discussions with senior internal and external stakeholders to drive creative alignment across teams and orgs, providing clear creative, tactical, and business rationale to all audiences that support their solutions. You apply good judgment to make creative and strategic trade-offs between teams, and clients without compromising creative quality and the end-customer experience. You will develop and coordinate complex creative marketing initiatives, often stretching outside your immediate area of expertise. You will leverage your knowledge in brand strategy, user experience, visual design, and tech to work independently across 6 or more opportunities simultaneously, all in different stages of development. You will drive cross-team discussions around the development of shared goals and implementation, owning and optimizing mechanisms to improve internal and external processes that scale.Your daily activities may include: -Researching a client’s brand and creating copy that delivers on the advertiser’s brand positioning and goals and is captivating to customers-Tweaking creative messaging in response to Legal and PR feedback-Optimizing UX copy for a new component or feature -Supporting go-to-market materials for launching new products or features-Writing a script for a FinServ brand that’s sponsoring a Thursday Night Football activationAbout the teamAmazon's Brand Innovation Lab works with brands and agencies to develop campaigns that engage consumers at multiple stages of the marketing journey, building brand awareness, relevance, consideration, acquisition and loyalty. Our global creative team of storytellers and innovators include strategists, creatives, design technologists, engineers, producers and more, collaborating to create solutions customized to our advertisers' goals.BASIC QUALIFICATIONS- Minimum of 6 years copywriting experience at advertising agencies and/or in-house creative departments- Must have an online portfolio URL in your resume, demonstrating copywriting and conceptual thinking skillset, as well as big, campaignable thinking that can extend into any medium- Strong understanding of digital and social platforms, as well as their use within marketing ...

Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon and the leader in providing secure, reliable, scalable, and innovative services that help over a million businesses, governments, education, and not for profits across the globe scale and grow! AWS provides a wide set of scalable services to meet customer needs.The AWS Global Deal Strategy and Programs (GDSP) organization is responsible for the Private Pricing Program. The Private Pricing Analytics and Insights (PPA&I) team owns building scalable analytical solutions that enable the GDSP organization with actionable insights to make data-driven decisions. This role will focus on Data Engineering, and Analytics related to the Private Pricing Program, requiring deep technical skills, strong business acumen and a deep analytical background to provide actionable data-driven insights and decision support.As a Senior Data Engineer on this team, you will drive efficiency in data handling processes, setup product analytics, drive advanced analysis and build new metrics which are key inputs to improve the health, scale and growth of the Private Pricing Program. You will work collaboratively with the business leaders (including the VP of Private Pricing), operations, and engineering teams on many non-standard and unique business problems and support business initiatives by collecting required and related data from external/internal sources.The ideal candidate should have strong communication skills and ability to prioritize effectively to ensure timelines are met. You will own projects E2E, from engaging with customers to production and delivery of a suite of tools used by the organization to make key business decisions. You should be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail). You think in terms of architecture, not just code. You proactively work to improve the consistency and integration between your team’s BI solutions and any related systems or artifacts.Key job responsibilities Owning the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using AWS services and internal tools• Build and deliver high quality data sets to support data scientists and customer reporting needs.• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers• Translate basic business problem statements into analysis requirements.• Use analytical and statistical rigor to answer business questions and drive business decisions.• Find and create ways to measure the customer experience to drive business outcomes.• Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.• Write queries and output efficiently, and have in-depth knowledge of the available in area of expertise. Pull the needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert to make it analysis-ready.• Recognize and adopt best practices in reporting and analysis: integrity, design, analysis, validation, and documentation.• Troubleshoot operational quality issues.• Review and audit existing jobs and queries.• Recommending improvements to back-end sources for increased accuracy and simplicity.About the teamDiverse Experiences:AWS 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 Culture:Here 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 Growth:We’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 Balance:We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. BASIC QUALIFICATIONS- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience mentoring team members on best practices ...

Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon and the leader in providing secure, reliable, scalable, and innovative services that help over a million businesses, governments, education, and not for profits across the globe scale and grow! AWS provides a wide set of scalable services to meet customer needs.The AWS Global Deal Strategy and Programs (GDSP) organization is responsible for the Private Pricing Program. The Private Pricing Analytics and Insights (PPA&I) team owns building scalable analytical solutions that enable the GDSP organization with actionable insights to make data-driven decisions. This role will focus on Data Engineering, and Analytics related to the Private Pricing Program, requiring deep technical skills, strong business acumen and a deep analytical background to provide actionable data-driven insights and decision support.As a Senior Data Engineer on this team, you will drive efficiency in data handling processes, setup product analytics, drive advanced analysis and build new metrics which are key inputs to improve the health, scale and growth of the Private Pricing Program. You will work collaboratively with the business leaders (including the VP of Private Pricing), operations, and engineering teams on many non-standard and unique business problems and support business initiatives by collecting required and related data from external/internal sources.The ideal candidate should have strong communication skills and ability to prioritize effectively to ensure timelines are met. You will own projects E2E, from engaging with customers to production and delivery of a suite of tools used by the organization to make key business decisions. You should be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail). You think in terms of architecture, not just code. You proactively work to improve the consistency and integration between your team’s BI solutions and any related systems or artifacts.Key job responsibilities• Owning the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using AWS services and internal tools• Build and deliver high quality data sets to support data scientists and customer reporting needs.• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers• Translate basic business problem statements into analysis requirements.• Use analytical and statistical rigor to answer business questions and drive business decisions.• Find and create ways to measure the customer experience to drive business outcomes.• Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.• Write queries and output efficiently, and have in-depth knowledge of the available in area of expertise. Pull the needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert to make it analysis-ready.• Recognize and adopt best practices in reporting and analysis: integrity, design, analysis, validation, and documentation.• Troubleshoot operational quality issues.• Review and audit existing jobs and queries.• Recommending improvements to back-end sources for increased accuracy and simplicity.About the teamDiverse Experiences:AWS 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 Culture:Here 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 Growth:We’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 Balance:We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.BASIC QUALIFICATIONS- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Bachelors Degree in relevant Technical Field ...

Amazon Worldwide Advertising is one of Amazon's fastest growing and most profitable businesses. Partner Experience and Growth (PEG) team leverages advanced analytics and experimentation to unlock value for our advertising partners and mutual customers i.e. the advertisers. The Science charter in PEG spearheads these efforts by optimizing the onboarding journey and providing data-driven insights to agencies and tool providers in the Amazon Ads ecosystem. Our proprietary tools provide granular visibility into what's working across audiences, creatives, targeting strategies, and more. These custom algorithmic recommendations uncover growth opportunities previously hidden in the data fog. Partners can confidently allocate budgets based on predicted performance, unlocking improved return on ad spend. And advertisers reap the benefits through expanded brand awareness, increased sales, and stronger customer loyalty over time.Key job responsibilitiesYou will participate in driving features from idea to deployment, and your work will directly impact millions of customers.You are going to love this job because you will:Map business requirements and customer needs to a scientific problem.Align the research direction to business requirements and make the right judgments on research/development schedule and prioritization.Research, design and implement scalable machine learning (ML), natural language, or supervised and unsupervised models to solve problems that matter to our customers in an iterative fashion.Mentor and develop junior scientists and developers who work on science problems in the same organization.Stay informed on the latest machine learning, natural language and/or artificial intelligence trends and make presentations to the larger engineering and science communities.Communicate complex technical concepts effectively to both technical and non-technical stakeholders, providing clear explanations on proposed solutions and their potential impact.About the teamThe Partner Science team’s vision is to drive the Advertising Partner flywheel by infusing science-based interventions at all stages of their journey with Amazon Ads including demand generation, partner selection, partner engagement, partner competition and innovation, ultimately improving the partner managed advertiser experience. We drive the vision by attracting and growing top scientist talents in an innovative, experimental, and collaborative culture. BASIC QUALIFICATIONS- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 4+ years of data scientist experience- Bachelor's degree- Experience with statistical models e.g. multinomial logistic regression ...

Are you excited about the prospect of making it easier for builders to innovate and create great software? If so, Amazon Software Builder Experience (ASBX) may be the place for you. Created in 2022, ASBX has the mission of creating the world’s best builder experience across tens of thousands of software engineers across both Amazon and AWS.Builder Insights works at the core of ASBX, shaping what it means to create the world’s best software builder experience. How do we reduce friction and toil for builders, enabling them to have more time to build features and capabilities that will delight Amazon’s customer? Where should we invest in tooling, automation, knowledge discovery, training, etc. to create the biggest benefits for builders? How do we inform managers what “good” looks like compared to teams similar to them? These are just a few of the challenges we are tackling right now.We are looking for a passionate and hardworking scientist to use data to discover insights and turn those insights into actionable recommendations and products that improve the experience of builders across Amazon. As a data scientist on the Builder Insights team, you will help conduct rigorous science for the organization, with a focus on discovery, research, and application of generated insights into science-enabled products and features. You will have exposure to senior leadership as we communicate results and provide scientific guidance to the business. This role will also collaborate with scientists across organizations to influence science roadmaps and disseminate research.You will work with engineers to onboard data, perform scientifically rigorous insight discovery and research, and develop the right statistical and machine learning model-based solutions to deliver impact for builders. You will solve ambiguous problems, working with stakeholders to determine the right questions to ask and developing the roadmap for delivering results. You will apply analytical abilities, business understanding, and technical expertise to identify specific and actionable opportunities to solve existing business problems and look around corners for future opportunities. You will synthesize and communicate insights and recommendations to audiences of varying levels of technical sophistication to influence investment into builder experience improvements through data-backed solutions.*Utility Computing (UC)* AWS 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.10025Key job responsibilities• Lead projects, requiring both business and technical domain knowledge, and drive solutions to complex or ambiguous problems with limited guidance.• Create models and analyses that affect important business decisions.• Review analyses of other scientists and provide feedback.• Employ scientifically rigorous standards across multiple data science disciplines, knowing what trade-offs to make to deliver results.• Build models using Python, R, etc. (and ability to access data using Spark, SQL, or similar)• Proficiently use at least one common data science language to develop models (Python, R, etc.) and process data (Spark, SQL, etc.).• Communicate verbally and in writing to business customers with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendationsA day in the life*Utility Computing (UC)* AWS 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.**Why 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 Experiences**Amazon 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 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 in the cloud. **Inclusive Team Culture* *Here 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 Growth**We’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. About the teamThe data science team in Builder Insights believes Are Right, A Lot means listening to diverse points of view and building a culture of inclusivity where every team member can contribute. It's only when we work together and include everyone that the best ideas can shine through, and that's when we have the most impact for our customers. You can let your Ownership shine on this team! - we wear different hats, getting involved with product strategy, building infrastructure, and everything in between. We have an innate desire to Learn & Be Curious and Dive Deep as engineers and scientists.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. Utility Computing (UC) AWS 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. Inclusive Team Culture Here 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. 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 in the cloud. Mentorship and Career Growth We’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. Diverse Experiences Amazon 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.BASIC QUALIFICATIONS- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 4+ years of data scientist experience- Experience with statistical models e.g. multinomial logistic regression ...

Amazon is continuing to invest in its Advertising business to tap into the growing online advertising market. The Publisher Technologies team builds and operates extensible services that empower 1P Publishers to improve the monetization of their customer experiences, along with the experiences themselves. We bias toward standards-based and flexible designs that allow Publishers the ability to invent on top of our solutions and to interoperate well with other advertising technology providers; both internal and external.The Publisher Technology Data, Insights, and Analytics team enables faster data-driven decision making for Publishers and Monetization teams by providing them with near real time data, data management tools, actionable insights, and an easy-to-use reporting experience. Our data products provide Publishers and Monetization teams with the capabilities necessary to better understand the performance of their Advertising products along with supporting machine learning at scale.In this role, you will join a team whose data products and services empower hundreds of teams across Amazon with near real time data to support big data analytics, insights, and machine learning at scale. You will collaborate with cross-functional teams to design, develop, and implement advanced data tools, predictive models, and machine learning algorithms to support Advertising strategies and optimize revenue streams. You will analyze large-scale data to identify patterns and trends, and design and run A/B experiments to improve Publisher and advertiser experiences. Key job responsibilities- Design and lead large projects and experiments from beginning to end, and drive solutions to complex or ambiguous problems- Create tools and solve challenges using statistical modeling, machine learning, optimization, and/or other approaches for quantifiable impact on the business- Use broad expertise to recommend the right strategies, methodologies, and best practices, teaching and mentoring others- Key influencer of your team’s business strategy and of related teams’ strategies- Communication and documentation of methodologies, insights, and recommendations for senior leaders with various levels of technical knowledgeBASIC QUALIFICATIONS- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 4+ years of data scientist experience- Prior experience in advertising or digital marketing, with an understanding of programmatic advertising and the digital advertising ecosystem ...

Come build the future of smart security with us. Are you interested in helping shape the future of devices and services designed to keep people close to what’s important?ABOUT RINGWe started in a garage in 2012 when our founder asked a simple question: what if you could answer the front door from your phone? What if you could be there without needing to actually, you know, be there? After many late nights and endless tinkering, our first Video Doorbell was born.That invention has grown into over a decade of groundbreaking products and next-level features. And at the core of all that, everything we’ve done and everything we’ve yet to build, is that same inventor's spirit and drive to bridge the distance between people and what they care about. Whatever it is, at Ring we’re committed to helping you be there for it.(https://www.ring.com)ABOUT THE ROLEThe Senior Data Scientist within Ring Data Science and Engineering plays a pivotal role in shaping how we carry the voice of our customers. We strive to understand their behaviors and preferences in order to provide them with the best experience connecting with the places, people and things that matter to them. This role will build scalable solutions and models to support our business functions (Subscriptions, Product, Customer Service). By leveraging a range of methods including statistical analysis and machine learning, you will explain, quantify, predict and prescribe in support of informing critical business decisions. You will translate business goals into agile, insightful analytics. You will seek to create value for both stakeholders and customers and inform findings in a clear, actionable way to managers and senior leaders.Key job responsibilities- Drive shared understanding among business, engineering, and science teams of domain knowledge of processes, system structures, and business requirements.- Apply domain knowledge to identify product roadmap, growth, engagement, and retention opportunities; quantify impact; and inform prioritization.- Advocate technical solutions to business stakeholders, engineering teams, and executive level decision makers.- Lead development and validation of state-of-the-art technical designs (data pipelines, data models, causal inference, predictive models, data insights/visualizations, etc)- Contribute to the hiring and development of others- Communicate strategy, progress, and impact to senior leadershipA day in the lifeTranslate/Interpret • Complex and interrelated datasets describing customer behavior, messaging, content, product design and financial impact.Measure/Quantify/Expand • Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance. • Analyze historical data to identify trends and support decision making. • Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters. • Provide requirements to develop analytic capabilities, platforms, and pipelines. • Apply statistical or machine learning knowledge to specific business problems and data.Explore/Enlighten • Formalize assumptions about how users are expected to behave, create statistical definition of the outlier, and develop methods to systematically identify these outliers. Work out why such examples are outliers and define if any actions needed. • Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes. • Make decisions and recommendations. • Build decision-making models and propose solution for the business problem you defined. • Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication. • Utilize code (Python/R/SQL) for data analyzing and modeling algorithms.BASIC QUALIFICATIONS- Bachelor's degree- 4+ years of data scientist experience- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- Experience with statistical models e.g. multinomial logistic regression- 5+ years of hands-on experience in modeling and analysis, and in deploying machine learning / deep learning models in production. ...

Amazon Advertising's Brand Innovation Lab is seeking a talented and passionate Senior Design Technologist to craft customer-obsessed digital experiences. Our team is dedicated to helping advertisers promote their brands on Amazon in innovative and creative ways.Applicants should possess a comprehensive understanding of the current and emerging trends in web technology, with a critical awareness of their implications on user-centered design. You should have strong communication skills and expertise in a wide range of technologies, including React/JavaScript/NodeJS, HTML/CSS, XML/JSON, Adobe Creative Suite, WCAG AA/accessibility standards, and GenAI/LLMs. Experience with Figma and AWS is also required.You are customer-obsessed, detail-oriented, and adept at working on highly technical teams while collaborating effectively with non-technical creative counterparts. You excel in improving team standards, writing thorough documentation, and managing multiple projects in a fast-paced environment with a high degree of autonomy. You can translate business requirements into exceptional customer experiences by prioritizing the customer perspective and maintaining relentlessly high standards.Equally passionate about design and development, you possess strong front-end development skills, a creative problem-solving mindset, and a keen eye for world-class functional design. You will contribute disruptive ideas for conceptualizing, creating, and delivering branded shopping experiences for millions of customers worldwide. Your work will span across platforms such as desktop, mobile, Fire tablet, Fire TV, Alexa, Twitch, Amazon Live, and other Amazon properties.To apply, please include your online portfolio and examples of your processes to demonstrate your suitability for this role.Key job responsibilities- Own the end-to-end development process and deliverables from a design and technical perspective and deliver high quality, bug free code.- Provide design and technical leadership; work closely with business teams in development of campaign strategy, use cases, and technical requirements- Concept first-to-market innovations that utilize Amazon’s canvas alongside creative counterparts- Prototype new features and products, tackling ambiguous challenges that affect the global team.- Optimize internal processes and tooling for broader impact, strategically aligning initiatives to maximize revenue and influence- Present work to peers, product teams and Senior leadership- Provide leadership, mentor, and coaching to your immediate and extended team on the latest industry trends, tooling, and best practices in web development and design- Expand your influence by collaborating with partner teams, increasing productivity and effectiveness within the Brand Innovation Lab.A day in the lifeAmazon Brand Innovation Lab's Design Technology team works on custom development and prototyping with advertisers, 1p teams, and agencies. We focus on the conception, prototyping, and execution of branded custom experiences across the Amazon canvas. In agencies, such roles are often called Creative Technologists.You will split your time between execution and strategy. You will contribute to the definition of new ad products, pre-sales prototypes, and custom campaign executions, all while working directly with Art Directors, Copywriters, Creative Directors, Interactive Experience Designers, Product Managers, Producers and Account teams.You will lead the research, prototyping, and development of large, first-to-market digital experiences that set new standards for design and technical excellence. This role requires a blend of tactical expertise and strategic influence to amplify your impact across global teams and projects. You will play a pivotal role in shaping how brands are perceived and interacted with on Amazon’s many surfaces at a global scale.About the teamYou will work under the guidance of Brand Innovation Lab's Global Head of Design Technology and Experience Design, collaborating closely with other creatives (including art directors, copywriters, and fellow designers), design technologists, and program managers. Additionally, you will be responsible for communicating with both internal partners (including Sales, product, and engineering teams) and external stakeholders to deliver innovative results through all stages from concept development to final execution.BASIC QUALIFICATIONS- 4+ years of front-end technologist, engineer, or UX prototyper experience- Have an available online portfolio- Have coding samples in front end programming languages- Experience developing visually polished, engaging, and highly fluid UX prototypes- Experience collaborating with UX, Product, and technical partners ...

Want to build at the cutting edge of immersive shopping experiences? The Visual Innovation Team (VIT) is at the center of all advanced visual and immersive content at Amazon. We're pioneering VR and AR shopping, CGI and GenAI. We are looking for a Design Tecnologist who will help drive innovation in this space who understands technical problems the team may face from an artistic perspective and provide creative technical solutions. This role is for if you want to be a part of:- Partnering with world-class creatives and scientists to drive innovation in content creation- Developing and expanding Amazon’s VIT Virtual Production workflow. - Building one of the largest content libraries on the planet- Driving the success and adoption of emerging experiences across AmazonKey job responsibilitiesWe are looking for a Design Technologist with a specialty in workflow automation using novel technologies like Gen-AI. You will prototype and deliver creative solutions to the technical problems related to Amazon visuals. The right person will bring an implicit understanding of the balance needed between design, technology and creative professionals — helping scale video content creation within Amazon by enabling our teams -- to work smarter, not harder.Design Technologists in this role will:- Act as a bridge between creative and engineering disciplines to solve multi-disciplinary problems- Work directly with videographers and studio production to develop semi-automated production workflows- Collaborate with other tech artists and engineers to build and maintain a centralized suite of creative workflows and tooling - Work with creative leadership to research, prototype and implement the latest industry trends that expand our production capabilities and improve efficiency A day in the lifeAs a Design Technologist a typical day will include but is not limited to coding and development of tools, workflows, and automation to improve the creative crew's experience and increase productivity. This position will be focused on in house video creation, with virtual production and Gen-Ai workflows. You'll collaborate with production teams, observing, empathizing, and prototyping novel solutions. The ideal candidate is observant, creative, curious, and empathetic, understanding that problems often have multiple approaches.BASIC QUALIFICATIONS- 6+ years of front-end technologist, engineer, or UX prototyper experience- Have coding samples in front end programming languages- Have an available online portfolio- Experience developing visually polished, engaging, and highly fluid UX prototypes- Experience collaborating with UX, Product, and technical partners ...

Program enablement lead to drive growth of video advertising and deal-based buying on ADSP self-service by working with various cross-functional teams across the globe.Key job responsibilities* Inspecting and improving existing mechanisms to find efficiencies and drive adherence to process* Inventing new mechanisms to keep Product aware of customer needs and keep Services aware of product developments* Scaling the impact of successful mechanisms through global expansion and automation* Prioritising focus areas to ensure the orgs are focused on the most critical customer needs, balancing what is most urgent and what is most important* Evangelising Amazon mental models around two-way doors, high velocity decision making* Thoughtful escalations to leadership to unblock progress. Ability to influence without authority across levels.* Work cross-functionally with Product, Sales, and Marketing to optimize workflows and unblock channels of revenue on ADSP for budgets coming in the video and deals space* Develop and launch internal workflows to surface the right data/insights to the PSC team to drive high-value actions.A day in the lifeIn this role, you will be responsible for leading large-scale initiatives focused on influencing Product and Engineering teams on the automation of customer services on Amazon’s DSP, develop the services go-to-market strategy and serviceability readiness of new DSP features and functionality. You will partner with Amazon’s Programmatic Solutions Consultants globally to gather feedback, work with subject matter experts and influence how features are brought to Amazon’s largest & most strategic advertising customers. Focus areas will be driving growth for video advertising and deal-based buying on ADSP self-service, and growing account spend for new product features in the video and deals space. As a Senior AdTech Services and Solutions Excellence Lead (Sr. ASSET Lead), you will work with a cross-functional team that specializes in creating the smoothest experience for our internal stakeholders and advertisers to scale key Amazon DSP services. You will be responsible for assessing business challenges by gathering and synthesizing relevant data. You will build shared strategy and execution plans with in-market business leaders, product and automation leads, and scaled cross-functional services teams to improve the customer experience in campaign management and optimizations effectively. You will create and track project plans to ensure accountability, establishment of clear KPIs to measure program success, drafting executive level & team presentations, data analysis, process design, recognizing and advocating for removal of systemic blockers to change, documentation of best practices and learnings for future initiatives. You will also help influence and train team members and cross-functional teams on new processes and tools as they are developed.About the teamAmazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions - including sponsored, display, video, and custom ads - leverage Amazon’s innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more. Within Amazon Advertising, the Global AdTech Org is focused on developing strategic partnerships across advertising agencies and direct clients. At the center of our partnerships with customers are meaningful and scalable technology partnerships, of which services are a core constituent.BASIC QUALIFICATIONS- BA/BS degree required; Masters/MBA preferred- Have 8+ years of customer service & support and/or technical experience in the programmatic advertising space- Knowledge of DSP within Ad Platform architecture (bidding engines, second-price vs first-price auctions, pixeling and tag managers, viewability, etc)- Experience building and delivering large-scale strategic initiatives and tools for customer-facing teams and direct customers through systems-thinking and workflow improvements- Experience with influencing internal and external stakeholders and communicating goals and strategies across multiple leadership levels of an organization- Quantitative analytical abilities, experience with “big data” and ability to handle changing priorities and use good judgment when working in stressful situations ...

Amazon Logistics (AMZL) is changing the way we interact with customers around the globe every single day and solving some of the biggest logistical challenges facing not just Amazon, but the entire industry. In order to meet the needs of millions of customers worldwide in an environment where speed is of the essence, we are consistently looking for the next breakthrough or innovation which will disrupt the delivery business and enable a step change in the way millions of customers get their orders. If the notion of leading engineering projects amongst the world’s brightest talent to full potential excites you; if the idea of using ground-breaking technologies to develop last mile logistics systems in the multi-national juggernaut that is Amazon has your attention, then keep reading.Are you an innovative leader that wants to design the next generation of world-class equipment for delivery stations? Do you want a high level of ownership in solving complex problems? Does the challenge of designing systems that leverage ground breaking automated material handling equipment appeal to you? If so, we have the job for you! The WW Equipment Engineering Innovation team is searching for an innovative and solutions-oriented engineer to lead the initiative of developing and delivering current and next generation equipment for our world-class delivery stations. This is a unique opportunity at a critical juncture in Amazon’s growth to drive end to end equipment development, work with vendor across the world to increase vendor’s design and manufacturing capability and drive internal and external equipment quality control mechanisms. We are looking for a hands-on leader with experience in any of the following areas; Production Part Approval Process (PPAP), Manufacturing/Mechanical Plant Engineering, First Article Inspection (FAIR). In this role, you will collaborate with internal and external teams to design high-quality, cost-effective solutions for our last mile delivery systems. To be successful in this role you will need to be able to influence and work with senior leaders across multiple organizations and geographies. You will work with organizations such as Worldwide (WW) Engineering and Design, WW Tech SME, Last Mile Delivery and Tech as well as Operations to innovate at scale and drive the development roadmap. You will manage large, complex initiatives, and advocate on behalf of the customer to develop the next generation of AMZL delivery station. You will work with a team of highly skilled and highly engaged engineers in a fast-paced and often ambiguous environment. Our team works on the medium and long term, incremental and radical innovation of process infrastructure, equipment and standards for launch and legacy delivery stations. You will be challenged; you will learn; you will work on high impact, high visibility projects; you will grow.Key job responsibilities- Act as the WW technical expert for equipment development. This includes taking a leading role in equipment testing and validation. - Lead idea generation for innovative design/equipment solutions to existing operational problems.- Create documentation for equipment solutions, such as design definitions, quality specifications, assembly instructions and equipment design standards, etc.- Generate structured plan to turn innovative equipment design solutions from ideas to assessment, pilot and finally expansion- Own and deliver against plans, providing network reporting, financial approval and leadership approval for all stages of program progression- Act as technical expert in area of ownership, providing technical expertise to other Engineering teams, alongside providing technical challenge for suppliers and partners- Build large-scale business proposals based on innovation designs for WW Ops Engineering, often with ambiguity; collaborate with WHS, Planning, Launch, Procurement, Finance, HR, external partners and product teams to ensure project completion (on time and within budget)- Ensure customer satisfaction by following through with requests and ensuring needs are met as accurately and immediately as possible- Own internal process innovations across the Engineering Org, including owning road-mapping and planning for given area of responsibility and ensuring roadmap is delivered- Coordinate with Tech/Software teams, driving the operational execution of software enhancements as well as ensuring the software supports the physical design/process innovations- Up to 50% regional and WW travel depending on business needsBASIC QUALIFICATIONS- Bachelor’s degree in Science, Engineering, Technology and Mathematics (or equivalent related experience)- 5+ years of progressively responsible experience in the specialty- Experience in any of the following areas; Production Part Approval Process (PPAP), Manufacturing/Mechanical Plant Engineering, First Article Inspection (FAIR).- Experience with introducing new vendors and vendor technical quality management. - Experience with introducing new equipment from concept all the way through validation and execution?- Experience with automated material handling equipment, and systems inclusive of robotics and high-speed manufacturing- Experience with process design based on Lean Principles- Experience in Capital project management, must involve ownership/management of engineering design project- Experience using business/technical software like MS Excel, MS Project, and CAD software ...

Amazon Logistics (AMZL) is changing the way we interact with customers around the globe every single day and solving some of the biggest logistical challenges facing not just Amazon, but the entire industry. In order to meet the needs of millions of customers worldwide in an environment where speed is of the essence, we are consistently looking for the next breakthrough or innovation which will disrupt the delivery business and enable a step change in the way millions of customers get their orders. If the notion of leading engineering projects amongst the world’s brightest talent to full potential excites you; if the idea of using ground-breaking technologies to develop last mile logistics systems in the multi-national juggernaut that is Amazon has your attention, then keep reading.Are you an innovative leader that wants to design the next generation of world-class equipment for delivery stations? Do you want a high level of ownership in solving complex problems? Does the challenge of designing systems that leverage ground breaking automated material handling equipment appeal to you? If so, we have the job for you! The WW Equipment Engineering Innovation team is searching for an innovative and solutions-oriented engineer to lead the initiative of developing and delivering current and next generation equipment for our world-class delivery stations. This is a unique opportunity at a critical juncture in Amazon’s growth to drive end to end equipment development, work with vendor across the world to increase vendor’s design and manufacturing capability and drive internal and external equipment quality control mechanisms. We are looking for a hands-on leader with experience in any of the following areas; Production Part Approval Process (PPAP), Manufacturing/Mechanical Plant Engineering, First Article Inspection (FAIR). In this role, you will collaborate with internal and external teams to design high-quality, cost-effective solutions for our last mile delivery systems. To be successful in this role you will need to be able to influence and work with senior leaders across multiple organizations and geographies. You will work with organizations such as Worldwide (WW) Engineering and Design, WW Tech SME, Last Mile Delivery and Tech as well as Operations to innovate at scale and drive the development roadmap. You will manage large, complex initiatives, and advocate on behalf of the customer to develop the next generation of AMZL delivery station. You will work with a team of highly skilled and highly engaged engineers in a fast-paced and often ambiguous environment. Our team works on the medium and long term, incremental and radical innovation of process infrastructure, equipment and standards for launch and legacy delivery stations. You will be challenged; you will learn; you will work on high impact, high visibility projects; you will grow.Key job responsibilities- Act as the WW technical expert for equipment development. This includes taking a leading role in equipment testing and validation. - Lead idea generation for innovative design/equipment solutions to existing operational problems.- Create documentation for equipment solutions, such as design definitions, quality specifications, assembly instructions and equipment design standards, etc.- Generate structured plan to turn innovative equipment design solutions from ideas to assessment, pilot and finally expansion- Own and deliver against plans, providing network reporting, financial approval and leadership approval for all stages of program progression- Act as technical expert in area of ownership, providing technical expertise to other Engineering teams, alongside providing technical challenge for suppliers and partners- Build large-scale business proposals based on innovation designs for WW Ops Engineering, often with ambiguity; collaborate with WHS, Planning, Launch, Procurement, Finance, HR, external partners and product teams to ensure project completion (on time and within budget)- Ensure customer satisfaction by following through with requests and ensuring needs are met as accurately and immediately as possible- Own internal process innovations across the Engineering Org, including owning road-mapping and planning for given area of responsibility and ensuring roadmap is delivered- Coordinate with Tech/Software teams, driving the operational execution of software enhancements as well as ensuring the software supports the physical design/process innovations- Up to 50% regional and WW travel depending on business needsBASIC QUALIFICATIONS- Bachelor’s degree in Science, Engineering, Technology and Mathematics (or equivalent related experience)- 5+ years of progressively responsible experience in the specialty- Experience in any of the following areas; Production Part Approval Process (PPAP), Manufacturing/Mechanical Plant Engineering, First Article Inspection (FAIR).- Experience with introducing new vendors and vendor technical quality management. - Experience with introducing new equipment from concept all the way through validation and execution?- Experience with automated material handling equipment, and systems inclusive of robotics and high-speed manufacturing- Experience with process design based on Lean Principles- Experience in Capital project management, must involve ownership/management of engineering design project- Experience using business/technical software like MS Excel, MS Project, and CAD software ...