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
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