capacity delivery planner, dedicated infrastructure, amazon dedicated cloud/non-standard infrastructure delivery team

online math tutor

ai program analyst - remote Jobs in Seattle

ai program analyst - remote

ai tutor, rufus, amazon rufus Jobs in Seattle

ai tutor, rufus, amazon rufus

capacity delivery planner, dedicated infrastructure, amazon dedicated cloud/non-standard infrastructure delivery team Jobs in Seattle

consulting manager - ai & analytics Jobs in Seattle

consulting manager - ai & analytics

ai tutor rufus amazon rufus

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon is seeking an AI Tutor who has strong language skills, is exceptionally detail-oriented, and has a track record of exhibiting high judgment in ambiguous environments. This role is based in Seattle (HQ1) or New York City (Manhattan) with 5 days in-office presence. Amazon is unable to offer relocation support for this role.
<br>
<br>
This is an opportunity to join the high-performing team behind Amazon&rsquo;s generative AI-powered shopping assistant. Rufus makes it easy for customers to find and discover the best products to meet their unique needs by helping with product research, providing comparisons and recommendations, answering specific product questions, and more. This role will bring innovation and cohesion to our efforts to deliver a seamless and delightful AI-assisted shopping experience to customers worldwide.
<br>
<br>
We are looking for candidates who are passionate about the intersection of language and technology and are keen to support the training of Large Language Models. This role will be responsible for conducting high-judgment evaluations and labeling data in order to improve the fluency of our Shopping AI model. They will uphold our high standards for style and tone, while using customer feedback to continually iterate and improve the shopping experience.
<br>
<br>
This role requires exceptional written and oral communication skills, excellent judgment, strong interpersonal skills, deep curiosity about how things work, and a passion for serving customers. You must enjoy context-switching and multi-tasking while upholding our high standards. This is an opportunity to gain valuable experience in the growing field of artificial intelligence and its application in diverse business settings.<br>
<br>
Key job responsibilities<br>
<ul><li>Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly.</li><li>Demonstrate proficiency in generating high-quality human insight data across a range of modalities, inclusive of text, image, video, and audio.</li><li>Make sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.</li><li>Pivot from one category of requirement to another instantaneously, maintaining a keen eye for detail and a high bar for quality.
</li><li>Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.</li><li>Responsible for identifying day-to-day process and operational issues in Standard Operating Procedures and related tooling, suggesting changes to unblock the team.</li></ul><br>
A day in the life<br>
You will conduct high-judgment evaluations and deliver high-quality labeled data to train and continuously improve Amazon's Shopping AI model. You will partner closely with Product, Science, and Engineering teams, who are invested in creating solutions that make it easier, faster, and more intuitive for our non-coding workforce to iterate and improve Rufus for customers. You will be part of an Editorial team, which includes creative product and program managers, writers, editors, and language engineers. This is a startup culture: We move fast, have ambitious goals, adapt quickly, and learn along the way.
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup</li><li>Bachelor's degree in English, Communications, Linguistics, or a related field</li><li>Can demonstrate strong attention to safety and ability to follow detailed procedures</li><li>Experience developing and evaluating data annotation and data quality metrics</li><li>Previous experience using annotation strategies to contribute to the development and improvement of AI</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>2+ years of technical writer, editor, or content strategist experience</li><li>Experience leading cross-functional teams to deliver products and projects on tight deadlines</li><li>Experience working in fast paced environments, and managing workload even during times of stress, or escalated activity</li><li>Experience working with cross-functional teams to deliver products and projects on tight deadlines</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 starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.</p><br>
USA, NY, New York - 19.00 - 33.00 USD hourly<br>
USA, WA, Seattle - 21.00 - 30.00 USD hourly</div><p></p>

AI Tutor, Rufus, Amazon Rufus

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon's advertising business has grown exponentially over the past years, helping connect sellers and vendors to shoppers who may be interested in their products. Our ad 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 that leverage state of the art AI technologies.<br>
<br>
The Sponsored Products and Brands team is seeking a Principal Applied Scientist to lead the development and implementation of generative AI solutions for ad allocation and ranking on Amazon search pages. This role will be instrumental in revolutionizing how we match ads with customer intent and shopping behavior.<br>
<br>
Key job responsibilities<br>
<ul><li>Design and develop novel generative AI architectures for real-time ad allocation, focusing on both efficiency and effectiveness at massive scale</li><li>Lead research initiatives in applying large language models and multimodal AI to understand deep semantic relationships between ads, queries, and user behavior</li><li>Create innovative approaches to leverage GenAI for dynamic ad placement optimization while maintaining strict latency requirements</li><li>Collaborate with cross-functional teams to integrate GenAI solutions into existing advertising systems</li><li>Author research papers and technical documentation, contributing to the broader scientific community</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD in Computer Science, Applied Mathematics, Statistics or a closely related field of study.</li><li>8+ years of experience applying ML to solve complex problems for large-scale applications.</li></ul><br>
<h2 class="jobSectionHeader"><b>PREFERRED QUALIFICATIONS</b></h2><ul><li>Ability to translate informal customer requirements into problem definitions, dealing with ambiguity and competing objectives.</li><li>Demonstrated leadership abilities, especially with cross-disciplinary efforts.</li></ul>
- Hands on experience building machine learning models - from theoretical and application to real-world-problems perspectives.<br>
<ul><li>Deep knowledge of statistical modeling techniques, scientific thinking, and the ability to apply these skills to real-world applications.</li><li>Deep business and technical vision.</li><li>Prior experience in online advertising or search ranking</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 - 218,800.00 - 295,900.00 USD annually<br>
USA, WA, Seattle - 198,900.00 - 269,000.00 USD annually</div><p></p>

Principal Applied Scientist, Sponsored Products and Brands

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
AWS Life Sciences, part of the AWS Applied AI Solutions organization, seeks a strong product leader to serve as General Manager of our Life Sciences organization. We're on a mission to transform drug discovery, clinical development, and clinical diagnostics by delivering purpose-built AI solutions for life sciences researchers and organizations. Our portfolio includes foundational capabilities in HealthOmics and HealthImaging, alongside innovative end-user applications. This role will help realize our vision of &quot;Every business innovating with Amazon AI teammates&quot; while building delightful AI solutions that improve human capabilities and business outcomes.<br>
<br>
Key job responsibilities<br>
Own and drive the multi-year vision, strategy, and execution roadmap for AWS Life Sciences products across drug discovery, clinical development, and diagnostics<br>
Lead development of foundational capabilities in HealthOmics and HealthImaging while identifying new opportunities for AI-powered life sciences solutions<br>
Drive key PRFAQs and OP1 documents for executive review, securing leadership alignment on strategic initiatives<br>
Define and own business metrics, P&amp;L responsibilities, and growth strategies<br>
Partner with scientific, engineering, and go-to-market leaders to accelerate adoption of AWS Life Sciences solutions<br>
Build and nurture executive relationships with pharmaceutical, biotech, and research organization leaders<br>
Represent AWS Life Sciences strategy at executive forums and drive strategic partnerships<br>
Lead and develop senior product leaders while fostering a culture of innovation and scientific excellence</p><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><p>
10+ years of product management experience in enterprise software<br>
Deep experience in life sciences technology, particularly in drug discovery, bioinformatics, or clinical trials<br>
Experience driving enterprise-scale product strategy and execution<br>
Track record of building and leading senior product teams<br>
Experience with P&amp;L ownership and pricing strategies<br>
Strong technical background with understanding of AI/ML technologies<br>
Bachelor's degree in Life Sciences, Computer Science, or related field</p><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><p>
Advanced degree (PhD/MS) in Computational Biology, Bioinformatics, or related field<br>
MBA from top-tier institution<br>
Experience with omics data analysis platforms and workflows<br>
Deep understanding of clinical development processes and regulatory requirements<br>
Track record of successful enterprise product launches in life sciences<br>
Experience with cloud computing platforms and distributed systems<br>
Publication record or patents in life sciences technology<br>
Demonstrated success in building partner ecosystems<br>
Strong stakeholder management and communication skills<br>
<br>
This role offers the unique opportunity to leverage Amazon's AI expertise to revolutionize life sciences research and development, working at the intersection of advanced technology and critical healthcare challenges.<br>
<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>
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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><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, Mountain View - 274,900.00 - 350,000.00 USD annually<br>
USA, WA, Seattle - 239,000.00 - 323,400.00 USD annually</div><p></p>

Director, Product Management - Tech, AWS Life Sciences, Amazon Life Sciences

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon&rsquo;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&rsquo; businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon&rsquo;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.<br>
<br>
<br>
<br>
Amazon Connect is an AI-powered customer experience solution that enables superior outcomes at a lower cost. Since its 2017 public launch, Amazon Connect has become an AI leader, transforming how organizations of all types interact with their customers.<br>
<br>
Customer Engagement is a growth agent for companies that look to invest in communicating and engaging with their end customers, understanding their behaviors and unique interactions, and learning how to engage at the right precise moment with the right customer experience. Behind each of these interactions are unique moments that create an opportunity to learn and understand more about who they are and what they want. AWS Customer Data &amp; Insights (AWS Customer Profiles, AWS Entity Resolution and Personalize) power over 20 billion customer interactions per day across multiple channels and use cases. We seek to create the most customer centric experiences with highly reliable, scalable, and secure engagement services that build customer knowledge, trust, and drive growth.<br>
<br>
About the team<br>
ABOUT AWS:<br>
<br>
Diverse Experiences
<br>
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&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
Why AWS
<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<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 in the cloud.
<br>
<br>
Inclusive Team Culture
<br>
Here at AWS, it&rsquo;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 and AmazeCon conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship 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, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
</p><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</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, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer, Amazon Connect Customer Data & Insights

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS Professional Services is revolutionizing how we create value for customers. As Senior Consultant, Agentic Delivery Acceleration, you'll pioneer the transformation of how we sell and deliver engagements by leveraging AI to accelerate adoption, reduce risk, and enhance experiences.<br>
<br>
Within AWS Professional Services, you will own the design and development of intuitive user interfaces and workflow automation solutions that power seamless experiences for agentic AI products. You will play a critical role in translating complex business processes into elegant, scalable automation &mdash; enabling teams across Professional Services to work smarter and faster through the power of agentic AI.<br>
<br>
If you're passionate about leveraging AI to solve complex sales and delivery challenges and ready to drive meaningful innovation in one of the world's most customer-obsessed organizations, this role offers an exceptional opportunity for transformative impact.<br>
<br>
Key job responsibilities<br>
<ul><li>Design, build, and maintain intuitive user interfaces that support agentic AI solutions, ensuring a seamless and consistent end-user experience across workflows</li><li>Architect and implement workflow automation solutions within Amazon Quick Suite, streamlining and automating complex business processes at scale</li><li>Partner with product managers, engineers, and business stakeholders to translate requirements into robust, scalable technical solutions</li><li>Identify opportunities to reduce manual effort and increase operational efficiency through intelligent automation and process re-engineering</li><li>Collaboratively establish and enforce UI/UX standards, design patterns, and development best practices across the team</li><li>Produce clear technical documentation, runbooks, and onboarding materials to support adoption and scalability</li></ul><br>
About the team<br>
ABOUT AWS:<br>
<br>
Diverse Experiences<br>
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&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
Why AWS<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
<br>
<br>
Inclusive Team Culture<br>
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<br>
<br>
Mentorship 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, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
<br>
<br>
AWS Professional Services helps enterprise customers realize their desired business outcomes when using AWS. Our team provides expertise in cloud architecture, migration, application development, security, and operations to accelerate customers' cloud transformation journey. We are looking for individuals who are passionate about innovation, continuous improvement, and delivering exceptional customer experiences.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of leading multiple Agile teams (like Scrum Masters, Product Owners) concurrently or at scale experience</li><li>7+ years of leading and delivering enterprise-level IT engagements experience</li><li>5+ years of cloud computing experience</li><li>Bachelor's degree in STEM field</li><li>Knowledge of the value proposition of the public cloud and cloud engagement delivery (IaaS, PaaS, SaaS)</li><li>Experience in leading multiple Agile teams (like Scrum Masters, Product Owners) concurrently or at scale</li><li>Experience in leading and delivering enterprise-level IT engagements</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of delivering customer engagements in a professional services role experience</li><li>active project management certification (e.g., APM, CSM, PMI-ACP, PRINCE2)</li><li>AWS certification</li><li>Experience in delivering customer engagements in a professional services role</li><li>Experience with Agile and project management toolsets like Jira, Rally, VersionOne or Taiga</li><li>Experience working with and presenting to C-level executives, IT, and lines of businesses across organizations or equivalent</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, IL, Chicago - 153,600.00 - 207,700.00 USD annually<br>
USA, NY, New York - 168,900.00 - 228,500.00 USD annually<br>
USA, TX, Dallas - 153,600.00 - 207,700.00 USD annually<br>
USA, VA, Arlington - 153,600.00 - 207,700.00 USD annually<br>
USA, WA, Seattle - 153,600.00 - 207,700.00 USD annually</div><p></p>

Senior Engagement Manager, AWS Professional Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Amazon Foundational Security Services is looking for a leader to join our team working on our Access Management software systems. We provide authorization control plane and data plane software to teams across Amazon. We are in the process of transforming how Amazon does access management, and we need a leader who has experience running large-scale systems, inventing and simplifying solutions to complex problems, and operating with a sense of urgency to rapidly solve challenges for our customers. In addition to transforming our authorization services to leverage attribute based access control (ABAC), we are also on the leading edge of solving access control challenges associated with AI agents and platforms.<br>
<br>
This is a Sr Manager role in the Amazon Foundational Security Services (AFSS) organization. AFSS provides security software for internal use cases across Amazon including authentication, authorization, identity management, access management, and infrastructure security services. Our team works with businesses across Amazon, including AWS, Retail, Alexa, Artificial General Intelligence (AGI), Leo Satellite program, Whole Foods, and our Games, Media, and Entertainment divisions.
<br>
<br>
You will love this role if you bring a delightfully dissatisfied approach to the status quo. You love challenging the way it&rsquo;s always been done, and finding creative ways to move faster. You love to experiment, iterate rapidly, and create high performing teams that can ship quickly (and safely) to production. You focus on automation, and adopting AI assistants, to build speed into your software lifecycle without compromising quality. You will enjoy working with diverse businesses across the enterprise, and identifying extensible solutions that unblock these businesses by providing building-block security capabilities. While you will work in a security domain, you don&rsquo;t need to be a security expert on day 1. We need a leader with deep experience at rapid software prototyping and development, who can learn about the security business as you iterate.<br>
<br>
About the team<br>
Diverse Experiences<br>
Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<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. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.<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 &amp; 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.<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.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>12+ years of engineering experience</li><li>7+ years of engineering team management experience</li><li>Experience partnering with product or program management teams</li><li>Experience managing multiple concurrent programs, projects and development teams in an Agile environment</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience driving a fast-paced culture, iterating rapidly, and delivering quickly for customers</li><li>Experience establishing metrics for measurement of engineering and operational excellence</li><li>Experience in operating scalable distributed system</li><li>Previous Software experience in a Security domain</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, VA, Herndon - 220,100.00 - 297,700.00 USD annually<br>
USA, WA, SEATTLE - 220,100.00 - 297,700.00 USD annually<br>
USA, WA, Seattle - 220,100.00 - 297,700.00 USD annually</div><p></p>

Sr Manager, Software Development, Amazon Foundational Security Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Join us in building the systems that enable Amazon&rsquo;s AI models to learn from real-world customer behavior and continuously evolve at massive scale.<br>
<br>
We are seeking a Software Development Manager to lead the design and development of large-scale training data systems and experimentation frameworks that power Amazon&rsquo;s next-generation shopping AI. This role leads a team responsible for building distributed systems that transform real customer interactions into measurable learning signals that continuously improve the Amazon shopping experience.<br>
<br>
As a Software Development Manager, you will define the technical vision and execution strategy for scalable systems that convert live traffic into structured datasets used across model training and evaluation workflows. You will lead engineers in building reliable, production-grade infrastructure while partnering closely with applied scientists to analyze model behavior, identify model quality gaps, and translate those insights into improved training data recipes and experimentation frameworks.<br>
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This role operates at the intersection of ML infrastructure, data science, and production systems, with end-to-end ownership spanning data ingestion, training signal design, experimentation, and evaluation. You will drive the team&rsquo;s roadmap, mentor engineers, and collaborate across teams to ensure Amazon&rsquo;s AI systems can continuously learn from real customer behavior.<br>
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You will also lead the integration of agent-driven systems that automate data curation, evaluation, and continuous model improvement, helping redefine how large-scale AI training workflows evolve in production.<br>
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Key job responsibilities<br>
Lead a team of engineers to design and build scalable training data systems that enable AI models to continuously learn;<br>
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Define the architecture and roadmap for high-throughput pipelines that transform customer behavior data to be used across model training and post-training workflows.<br>
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Partner with scientists to analyze model behavior, identify model quality gaps, and translate insights into improvements in training data coverage and learning signals.<br>
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Drive the design and evolution of training data recipes, including sampling strategies, signal weighting, filtering, and dataset composition to improve model performance.<br>
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Establish experimentation and measurement frameworks to validate training signal quality and ensure that data changes lead to measurable model improvements.<br>
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Ensure strong data governance, security, and compliance across large-scale production data workflows and ML training pipelines.<br>
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Provide technical leadership and architectural guidance for distributed systems and ML training infrastructure across multiple teams.<br>
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Lead the development of agent-driven workflows that automate data curation, evaluation, and continuous model improvement loops.<br>
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Hire, develop, and mentor engineers, fostering a culture of ownership, operational excellence, and high engineering standards.<br>
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Collaborate cross-team with engineering, science teams and partner organizations to accelerate AI model iteration and impact on the Amazon shopping experience.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of Software Engineer, Software Developer, or related occupational experience</li><li>3+ years of engineering team management experience</li><li>3+ years of providing technical leadership and project management for all aspects of the software development lifecycle experience</li><li>Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations</li><li>Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in machine learning, data mining, information retrieval, statistics or natural language processing</li><li>Experience using business metrics and training data to track, trend, and manage the impact of training efforts</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>
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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>
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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, Palo Alto - 212,700.00 - 287,700.00 USD annually<br>
USA, WA, Seattle - 184,900.00 - 250,200.00 USD annually</div><p></p>

Software Development Manager, Stores Foundational AI -SFAI

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