Reinvent how brands and shoppers connect — using generative AI. The Amazon Brand Stores team is building the next generation of brand-centric storefronts, bridging human creativity with AI to transform every aspect of the brand shopping experience across Amazon.com and beyond.

Brand Stores are the exclusive destination for brand owners to showcase their content and product catalog with custom creative — attracting millions of visits daily and seamlessly integrated with Amazon Stores. We're re-imagining store creation, optimization, performance analysis, and customer insights through state-of-the-art generative AI technologies.

We're looking for a full-stack software engineer to explore and own new brand-building experiences at Amazon scale. You'll work on customer-facing applications used by advertisers to create engaging storefronts, collaborate with teams building sponsored ads, and serve as the landing page experience where advertisers direct customers to learn more about their brands. This is a highly collaborative role partnering with Product Managers, TPMs, SDEs, and leaders across the org.

If you're energized by solving complex challenges, pushing the boundaries of what's possible with AI, and building full-stack applications that delight both advertisers and shoppers — this is the role.

Key job responsibilities

• Design, build, and own new brand-building experiences across customer-facing (CX) and advertiser-facing (AX) applications at Amazon scale
• Develop and extend full-stack applications and APIs that power Brand Stores for advertisers
• Explore and implement generative AI technologies to enhance store creation, optimization, and shopping experiences
• Collaborate cross-functionally with Product Managers, TPMs, SDEs, and org leaders to deliver end-to-end solutions
• Build and deliver new services while reducing operational burden for the team
• Apply strong data analytical skills to drive customer insights and performance improvements
• Operate with engineering excellence — owning quality, scalability, and reliability of your systems

A day in the life
Check out our team: https://youtu.be/FVyzfO_VbYI

About the team
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

The Brand Stores team within Sponsored Products and Brands is chartered to create agentic brand store building experience, automating brand store creation, personalization, and optimization across global marketplaces, serving millions of brand owners world-wide.

Basic qualifications

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
• 1+ years of Object Oriented Design experience
• Experience programming with at least one software programming language

Preferred qualifications

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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 & AD&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.

USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually