Role at a glance
- Job function
-
Software Engineering & IT Full-Stack Engineering
- Salary
- Not yet verified Check the description for pay details; an amount or pay period has not been verified.
- Location
- Seattle, Washington, United States
- Work arrangement
- On-site
- Experience
- Senior Level Basic Qualifications - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
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Role Summary
This Senior Software Development Engineer role on the Brand Stores team within Amazon Ads Sponsored Products and Brands focuses on designing and delivering generative AI-powered brand-building experiences across advertiser-facing and shopper-facing applications. The role involves full-stack ownership of systems that power Brand Stores for millions of daily visits.
What You'll Do
- Own the design and delivery of new generative AI-powered brand-building experiences across advertiser-facing (AX) and shopper-facing...
- Lead the technical direction for integrating generative AI into store creation, optimization, and shopping experiences
- Design and build full-stack applications and APIs that power Brand Stores, owning quality, scalability, and reliability
- Drive cross-functional collaboration with Product Managers, TPMs, SDEs, and org leaders to translate product vision into...
- Establish engineering best practices across the team, raising the bar on code quality, operational excellence, and system design
- Mentor engineers across the team and serve as a technical resource for design guidance and expertise
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
Preferred
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes,...
- Bachelor's degree in computer science or equivalent
Original job description
Content provided by the employer
Original job description
Content provided by the employer
This is a full-stack role spanning customer-facing (CX) and advertiser-facing (AX) applications. Brand Stores serve as the landing page experience where advertisers direct shoppers to learn more about their brands, and are seamlessly integrated with Sponsored Ads. You'll drive cross-functional collaboration with Product Managers, TPMs, SDEs, and leaders across the org to deliver end-to-end solutions that bridge human creativity with AI at Amazon scale.
Key job responsibilities
- Own the design and delivery of new generative AI-powered brand-building experiences across advertiser-facing (AX) and shopper-facing (CX) applications, making foundational architectural decisions that shape the platform
- Lead the technical direction for integrating generative AI into store creation, optimization, and shopping experiences — defining how these technologies are applied, evaluated, and scaled
- Design and build full-stack applications and APIs that power Brand Stores for millions of daily visits, owning quality, scalability, and reliability of your systems
- Drive cross-functional collaboration with Product Managers, TPMs, SDEs, and org leaders to translate product vision into well-architected technical solutions
- Establish engineering best practices across the team — raising the bar on code quality, operational excellence, and system design
- Apply data analytical skills to drive customer insights and performance improvements, using data to inform architectural and product decisions
- Mentor engineers across the team and serve as a technical resource that peers seek out for design guidance and expertise
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
- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
Preferred Qualifications
- 5+ 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 - 168,100.00 - 227,400.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.