applied scientist ii, amazon stores finance science Jobs in Seattle

applied scientist ii, amazon stores finance science

applied scientist, amazon special projects Jobs in Seattle

applied scientist, amazon special projects

applied scientist, denied party screening, aws compliance & security assurance Jobs in Seattle

applied scientist, denied party screening, aws compliance & security assurance

applied scientist, safety ml Jobs in Seattle

applied scientist, safety ml

area retail asset protection specialist Jobs in Seattle

area retail asset protection specialist

applied scientist ii amazon stores finance science

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Stores Finance Science (ASFS) is committed to integrating industry leading scientific methodologies into our financial processes. Our mission is to collaborate with finance and business partners to leverage advanced scientific and economic products to optimize insights, analysis, and decision-making. Our primary focus lies in developing solutions for Finance's enduring challenges and opportunities, encompassing financial controllership, planning, and operational efficiency.<br>
<br>
We are seeking a Applied Scientist to propel Gen AI acceleration within Finance. This role will focus on leveraging large language models and agentic Ai to enhance decision-making processes, automate complex controllership processes, and improve operational efficiency in Stores Finance.<br>
<br>
Key job responsibilities<br>
<ul><li>Develop approaches to automate and enhance financial processes using state-of-the-art language models</li><li>Partner with business stakeholders to identify high-impact opportunities for AI-driven transformation</li><li>Work with Software Engineering and Data Engineering to implement solutions that scale to the entire organization</li></ul><br>
A day in the life<br>
Are you interested in solving complex problems at the intersection of Science/Economics and Finance? And doing this while working in the Finance organization supporting one of the world's largest and most complex and dynamic businesses? This is a unique opportunity for qualified individuals to drive the entire life cycle of highly impactful, real-world ML applications, focused on use of advanced generative AI technology. If you thrive in a fast-paced, dynamic environment, and are passionate about driving impact, we encourage you to apply!<br>
<br>
About the team<br>
WW Amazon Stores Finance Science (ASFS) works to leverage science and economics to drive improved financial results, foster data backed decisions, and embed science within Finance. ASFS is focused on developing science/econ products that empower controllership, improve business decisions and financial planning by understanding drivers, and innovating Gen AI capabilities for efficiency and scale.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li><li>Experience working with Data &amp; AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in professional software development</li><li>Experience with LangGain, CrewAI, LangGraph or similar libraries for leveraging GenAI</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Cupertino - 171,600.00 - 222,200.00 USD annually<br>
USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually<br>
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist II, Amazon Stores Finance Science

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/<br>
<br>
About Us:<br>
<br>
Twitch is the world&rsquo;s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.<br>
<br>
We&rsquo;re about community, inside and out. You&rsquo;ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We&rsquo;re on a quest to empower live communities, so if this sounds good to you, see what we&rsquo;re up to on LinkedIn and X, and discover the projects we&rsquo;re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.<br>
<br>
About the Role<br>
<br>
We are looking for applied scientists to solve challenging and open-ended problems in the domain of user and content safety. As an applied scientist on Twitch's Community team, you will use machine learning to develop data products tackling problems such as harassment, spam, and illegal content. You will use a wide toolbox of ML tools to handle multiple types of data, including user behavior, metadata, and user generated content such as text and video. You will collaborate with a team of passionate scientists and engineers to develop these models and put them into production, where they can help Twitch's creators and viewers succeed and build communities.<br>
<br>
You will report to our Senior Applied Science Manager in San Francisco, CA. You can work from San Francisco, CA or Seattle, WA.<br>
<br>
You Will<br>
<br>
<ul><li>Build machine learning products to protect Twitch and its users from abusive behavior such as harassment, spam, and violent or illegal content.</li><li>Work backwards from customer problems to develop the right solution for the job, whether a classical ML model or a state-of-the-art one.</li><li>Collaborate with Community Health's engineering and product management team to productionize your models into flexible data pipelines and ML-based services.</li><li>Continue to learn and experiment with new techniques in ML, software engineering, or safety so that we can better help communities on Twitch grow and stay safe.</li></ul><br>
Perks<br>
<ul><li>Medical, Dental, Vision &amp; Disability Insurance</li><li>401(k)</li><li>Maternity &amp; Parental Leave</li><li>Flexible PTO</li><li>Amazon Employee Discount</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of building production software experience</li><li>2+ years of hands-on industry experience building models for NLP, deep learning, bot detection, anomaly detection or in another practical ML domain.</li><li>PhD / MSc Degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or similar quantitative field OR equivalent hands on experience.</li><li>Expertise with: Python and SQL, modern open source ML libraries (Pytorch, Tensorflow, etc.).</li><li>Familiarity with operating in AWS or similar cloud-computing services.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>PhD with a specialization in Machine Learning.</li><li>1+ years of experience working in the safety or fraud prevention domain (not necessarily as a scientist).</li><li>Experience communicating with both technical and non-technical partners and stakeholders.</li><li>Familiarity with Twitch, its business, and its community.</li></ul><br>
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, San Francisco - 171,600.00 - 222,200.00 USD annually<br>
USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually<br>
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist, Safety ML

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company&rsquo;s Think Big leadership principle to the limits. If you&rsquo;re interested in innovating at scale to address big challenges in the world, this is the team for you.<br>
<br>
As an Applied Scientist on our team, you will focus on building state-of-the-art ML models for biology. Our team rewards curiosity while maintaining a laser-focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup-like environment. At the forefront of both academic and applied research in this product area, you have the opportunity to work together with a diverse and talented team of scientists, engineers, and product managers and collaborate with other teams.<br>
<br>
Key job responsibilities<br>
As an Applied Science, you will have access to large datasets with billions of images and video to build large-scale machine learning systems. Additionally, you will analyze and model terabytes of text, images, and other types of data to solve real-world problems and translate business and functional requirements into quick prototypes or proofs of concept.<br>
We are looking for smart scientists capable of using a variety of domain expertise combined with machine learning and statistical techniques to invent, design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.<br>
<br>
About the team<br>
Our team highly values work-life balance, mentorship and career growth. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We care about your career growth and strive to assign projects and offer training that will challenge you to become your best.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li><li>Experience in patents or publications at top-tier peer-reviewed conferences (NeurIPS, ICML, ICLR, CVPR) or journals</li><li>Experience in deep learning models for life sciences; knowledge of protein biology.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist, Amazon Special Projects

Apple

<p>At Apple, we believe that technology should enrich people's lives in meaningful ways. Apple Services-including the App Store, Apple Music, Apple TV+, and Podcasts-connect millions of users worldwide to the content and experiences they love. Behind these services are sophisticated AI and machine learning systems that power personalized recommendations, intelligent search, and content discovery. The quality of these experiences depends fundamentally on the integrity of the data that fuels them.<br>
<br>
Join the Human-centered AI (HAI) organization within Apple Services Engineering as a Senior Applied Scientist on our Data Quality Operations team. This is your opportunity to shape the future of data quality at Apple, working at the intersection of cutting-edge machine learning, large language models, and rigorous scientific methodology. You'll be at the forefront of designing and implementing novel, scalable quality control solutions which ensure our AI-powered services meet Apple's exacting standards for a high-quality user experience. If you're passionate about applying scientific rigor to real-world problems, thrive on innovation, and want your work to impact hundreds of millions of users, this role offers an exceptional opportunity to make a lasting contribution to products people use every day.<br>
<br>
<b>Description</b><br>
<br>
We are seeking a Senior Applied Scientist to lead the design and implementation of novel, scalable quality control solutions for Apple Services. In this role, you will develop AI or ML solutions for programatically generating gold standard datasets, create anomaly detection systems, and pioneer use of Large Language Models for automated quality control. You will work closely with cross-functional teams to ensure the data powering our AI/ML systems meets the highest standards of accuracy, consistency, and relevance.<br>
<br>
&quot;,&quot;responsibilities&quot;:&quot;Develop methodologies and systems to programatically generating gold standard datasets to measure and improve data quality across diverse content types.<br>
<br>
Build and validate LLM-based grading systems that align with human judgment for tasks including content classification, quality assessment, and metadata validation.<br>
<br>
Create and deploy anomaly detection systems to proactively identify data inconsistencies, biases, and errors across production pipelines.<br>
<br>
Collaborate with AI/ML engineering, product, and data science teams to identify quality challenges and integrate solutions into production workflows.<br>
<br>
Stay abreast of the latest advancements in machine learning, AI, data quality, and LLM research, applying relevant techniques to enhance our capabilities.<br>
<br>
Mentor and guide junior team members, fostering technical excellence and innovation in data quality operations.<br>
<br>
Communicate findings and recommendations clearly to technical and non-technical stakeholders, including senior leadership.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, NLP or a related quantitative field with 3+ years of relevant industry experience,<br>
<br>
Experience with data labeling operations, annotation quality frameworks, or human-in-the-loop systems.<br>
<br>
Familiarity with prompt optimization frameworks or automated prompt engineering.<br>
<br>
Experience in natural language processing (NLP) or natural language understanding (NLU).<br>
<br>
Experience with MLOps practices and tools for deploying, monitoring, and managing ML models in production.<br>
<br>
Familiarity with cloud platforms (e.g., AWS, GCP, Azure) or large-scale distributed infrastructure systems.<br>
<br>
Prior experience contributing to open-source projects or publishing research in relevant academic conferences or journals.<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
3+ years of industry experience in an Applied Scientist, Machine Learning Engineer, or Data Scientist role with focus on data quality, evaluation, or related areas.<br>
<br>
Proven experience designing, building, and deploying scalable data quality or evaluation systems in production environments.<br>
<br>
Strong hands-on experience with Large Language Models (LLMs) including prompt engineering, fine-tuning, and applications such as grading, validation, or classification.<br>
<br>
Proficiency in Python, data science libraries (pandas, NumPy, scikit-learn, PyTorch, TensorFlow), SQL, and distributed computing environments (Spark, Hadoop).<br>
<br>
MS in Computer Science, Machine Learning, Statistics, Applied Mathematics, NLP or a related quantitative field with 3+ years of relevant industry experience, OR BS degree in a related quantitative field with 8+ years of relevant industry experience.<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .</p>

Sr Applied Scientist, AI/ML Evaluation Quality, Apple Services Engineering

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our mission is to prevent denied entities from transacting with Amazon businesses. We build automatic mechanisms to detect and prevent prohibited transactions with denied entities using a diverse set of algorithms and machine learning techniques. We screen over a billion events every day and develop algorithms which are able to scale and detect suspicious entities . We are still Day 1 and have an exciting road map to build Machine Learning (ML) and Generative AI (LLM) powered detection and resolution systems to help scale Amazon for years to come.
<br>
<br>
We are seeking an Applied Scientist to join our team and help tackle challenging problems at the forefront of machine learning and artificial intelligence. Working closely with a multidisciplinary team of engineers, data scientists, and domain experts, you will play a crucial role in defining cutting-edge ML/AI-powered customer experiences and solutions. If you have an entrepreneurial mindset, the technical depth to deliver impactful results, and a passion for innovation, we want to hear from you.
<br>
<br>
Key job responsibilities<br>
In this role, you will:
<br>
<ul><li>Drive the research, design, and development of novel ML/AI models and systems to power critical products and services
</li><li>Collaborate cross-functionally to deeply understand business requirements, customer needs, and technical constraints
</li><li>Rapidly prototype, test, and iterate on ML/AI solutions, iterating quickly based on data and feedback
</li></ul>&bull; Communicate complex technical concepts to technical and non-technical stakeholders &bull; Mentor and grow a team of talented ML scientists and engineers
<br>
<ul><li>Stay up-to-date on the latest advancements in AI/ML and identify opportunities to apply emerging techniques
</li></ul><br>
A day in the life<br>
<ul><li>Starting the day by reviewing the latest model performance metrics and identifying areas for improvement
</li><li>Brainstorming new architectures and approaches with your cross-functional team during a whiteboard session
</li><li>Diving deep into a complex dataset, leveraging advanced statistical and AI techniques to uncover hidden insights
</li><li>Prototyping a new model and running a series of experiments to optimize its performance
</li><li>Preparing a presentation to pitch your latest research findings and recommendations to product and engineering leaders
</li><li>Mentoring a junior data scientist, providing guidance on coding best practices and problem-solving strategies</li></ul><br>
About the team<br>
Why Amazon Security<br>
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&rsquo;s products and services.<br>
<br>
Work/Life Balance<br>
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&rsquo;s nothing we can&rsquo;t achieve.<br>
<br>
Inclusive Team Culture<br>
In Amazon Security, it&rsquo;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.<br>
<br>
Training and Career growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, TX, Dallas - 142,800.00 - 193,200.00 USD annually<br>
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist, Denied Party Screening, AWS Compliance & Security Assurance

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Manager, Sourcing Prepared Foods &amp; Bakery serves as the product owner and internal champion for our WW Grocery Store Private Brand business. They will own categories such as Perishable foods which span prepared Foods &amp; Bakey products. They will own managing, developing, and improving the structural profitability of our private brand assortment across our Amazon and WFM-branded products. This role is unique in that it spans Food categories with a supply chain serving all Grocery channels including WFM Stores, Amazon Go, Amazon Fresh Stores and online. In this role, you will work backwards from customer needs to develop and execute a comprehensive sourcing strategy that delivers exceptional products while meeting financial guardrails and targets across all channels. This leader will manage a team of 6 and will need to be a passionate and effective people leader. They will be the trusted advisor for our category teams across Grocery channels and will be the subject matter expert in their categories. Additionally, this leader will need to be a master negotiator, as they own our supplier/vendor partnership, and will need to optimize those partnerships over time to meet the needs of our customers.
<br>
This role will need to be an effective collaborator and owner, making decisive decisions across a varied multi-functional team including product development, channel category merchandising, partner private brands teams, and our quality and commercialization functions.<br>
<br>
<br>
<br>
Key job responsibilities<br>
Product Strategy &amp; Development<br>
<ul><li>Own the end-to-end product lifecycle for assigned categories, working backwards from customer needs to develop a compelling product roadmap</li><li>Create and maintain detailed product requirement documents, PRFAQs, and six-pagers to articulate product vision and strategy</li><li>Be subject matter expert on their categories with in the private labeling space, understanding the supplier landscape and optimizing our portfolio
</li><li>Drive both new product creation and renovation of existing products to ensure the total portfolio is optimized to support business objectives</li><li>Identify opportunities to fill the innovation pipeline through customer insights, market research, and cross-functional collaboration</li><li>Partner with Product Commercialization, R&amp;D, Legal, and Quality Assurance to bring products to market efficiently while managing risk</li><li>Establish and track meaningful metrics to measure product performance and customer satisfaction</li></ul>
Business Ownership &amp; Analytics<br>
<ul><li>Own the P&amp;L for your product portfolio, ensuring delivery of financial targets and growth objectives</li><li>Conduct weekly, monthly and quarterly business reviews with data-driven insights and root cause analysis</li><li>Develop and maintain product dashboards with key performance indicators to track progress against goals</li><li>Understand the critical Ps of Product, Price, Placement, and Promotion working with their partner teams to ensure their products are brought to life effectively for our customers.
</li><li>Make data-informed decisions by leveraging both qualitative and quantitative customer insights</li><li>Collaborate with North America Category Manager stakeholders across multiple teams on achieving financial plans and category objectives</li></ul>
Sourcing Excellence<br>
<ul><li>Operate as a subject matter expert in your product category, including industry knowledge and supplier landscape</li><li>Develop and nurture strategic supplier partnerships to drive innovation and operational excellence</li><li>Implement supplier scorecarding and performance management systems to ensure quality, sustainability, and business outcomes</li><li>Champion Organics, Fair Trade, Animal Welfare, Sustainability and Quality Standards to advance the mission of Whole Foods Market and Amazon Fresh</li><li>Partner with Global Purchasing Teams, Distribution, and Regions to ensure alignment to category strategy</li></ul>
Product Experience Optimization<br>
<ul><li>Drive packaging innovation that enhances customer experience while supporting sustainability goals</li><li>Influence product placement decisions through data-driven insights and customer decision tree methodology</li><li>Collaborate with Pricing team to ensure products meet target price positions while maintaining margin requirements</li><li>Balance customer value proposition with profit targets to deliver on our Conscious Capitalism principles</li></ul>
Leadership &amp; Team Development<br>
<ul><li>Hire and develop the best talent, raising the bar with each hiring decision</li><li>Mentor and train Sourcing managers and other team members</li><li>Communicate, represent, and uphold Whole Foods Market and Amazon Fresh core values and leadership principles</li><li>Demonstrate bias for action, ownership mentality, and customer obsession in all activities</li></ul><br>
About the team<br>
Worldwide Grocery Stores (WWGS) is a global retail organization dedicated to revolutionizing the grocery shopping experience through enhanced efficiency, quality, and affordability. At its core, WWGS Private Brands (PB) serves as a crucial strategic division that develops, sources, and manages our Whole Foods Market (WFM) and Amazon-branded proprietary food products across all geographic regions. Operating as a unified force, Private Brands supports both North American and International operations by leveraging cross-functional expertise in product development, sourcing, sensory, commercialization and quality assurance to bring our products to market end-to-end across all WFM and Amazon channels. Through the integration of Whole Foods Market (WFM) and Amazon-branded products, Private Brands enables WWGS to deliver high-quality, innovative products and brands while maintaining operational excellence across diverse global markets. This collaborative structure allows WWGS to rapidly scale its food portfolio while maintaining consistent quality standards and efficient processes throughout its worldwide operations. This team manages the Amazon Saver, Amazon Grocery, byAmazon, Aplenty, Amazon Kitchen, 365 by WFM (including our organic products), and Whole Foods Market brands.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Experience of managing and developing a high performance team</li><li>5+ years of account management, project or program management or buying experience</li><li>Experience with vendor negotiations, pricing and promotion or inventory management</li><li>Experience working cross functionally across finance, marketing or supply chain</li><li>Bachelor's degree or equivalent</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using data to influence business decisions</li><li>Experience driving direction and alignment with cross-functional teams</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, TX, Austin - 140,000.00 - 189,400.00 USD annually<br>
USA, WA, Seattle - 140,000.00 - 189,400.00 USD annually</div><p></p>

Manager, Sourcing Prepared Foods & Bakery, Worldwide Grocery Stores (WWGS)

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Solutions Core Experience (SCORE) team is part of AWS Applied AI Solutions (AAIS), where we design the next generation of intelligent, AI-powered experiences that make complex technologies feel natural, intuitive, and human. Our work spans products that transform industries &mdash; from contact centers and supply chains to healthcare and secure remote work.<br>
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We&rsquo;re looking for a Visual Product Designer with exceptional visual craft, strong systems thinking, and the ability to turn sophisticated ideas into elegant, accessible experiences. You&rsquo;ll join a multidisciplinary UX organization that includes designers, design technologists, and researchers collaborating across Amazon to define how AI comes to life for enterprise and consumer users alike.<br>
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As a key member of our design team, you&rsquo;ll elevate the visual language of AAIS &mdash; shaping design systems, defining expressive patterns, and art-directing how our products feel and communicate. You&rsquo;ll balance precision and experimentation, working hands-on in Figma, Illustrator, Adobe Creative Cloud, Keynote as well as more AI-specific creative tools to deliver design assets and presentations that inspire teams and delight customers.<br>
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Key job responsibilities<br>
<ul><li>Define, evolve, and maintain visual design systems that express AAIS&rsquo;s design language across AI-driven experiences.</li><li>Create visual narratives &mdash; layouts, iconography, motion cues, and conceptual illustrations &mdash; that bring clarity and emotion to complex workflows.</li><li>Collaborate with interaction designers, design technologists, and engineers to ensure designs are both beautiful and buildable.</li><li>Provide art direction and visual critique across projects to raise the design bar.</li><li>Partner with product and engineering leaders to shape roadmaps that balance innovation and usability.</li><li>Present design work with clarity and confidence to peers, stakeholders, and senior leadership.</li><li>Advocate for Customer Obsession, Invent and Simplify, and Deliver Results in every stage of the design process.</li></ul><br>
A day in the life<br>
If you're a thoughtful designer with a passion for AI-first products and a commitment to delivering exceptional user experiences, we encourage you to apply. Join us in shaping the future of AI at Amazon.<br>
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About the team<br>
The Solutions Core Experience (SCORE) team is AWS&rsquo;s UX organization within Applied AI Solutions, dedicated to &ldquo;Making the Future Feel Close.&rdquo; Founded in 2025, our growing team of designers, technologists, researchers, and managers creates intuitive, AI-driven experiences across sectors including customer engagement, global logistics, and healthcare. We also support secure work solutions and foundational engineering services that help ship innovation at scale. Our future-forward products integrate seamlessly into customers&rsquo; workflows and elevate how people work, collaborate, and interact with emerging technology.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>8+ years of design experience</li><li>Have an available online portfolio</li><li>Experience with design tools such as Photoshop, Illustrator and InDesign and prototyping in HTML, JavaScript, CSS, Ajax</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience applying scrum to visual or UX design processes</li><li>Experience with UX design of complex workflows</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, NY, New York - 155,400.00 - 210,300.00 USD annually<br>
USA, WA, Seattle - 137,800.00 - 186,400.00 USD annually</div><p></p>

Sr. Visual Product Designer, Applied AI Solutions (SCORE UX)

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