Software Development Engineer, Sponsored Products and Brands Off-Search
About the role
This role will be critical in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront.
Responsibilities
- Design, develop, and operate large-scale distributed systems for Sponsored Products and Brands advertising.
- Build and optimize data pipelines and services to improve ad retrieval, allocation, and recommendations.
- Apply Generative AI (GenAI) and Large Language Models (LLMs) to deliver more relevant, personalized ad and shopping experiences.
- Collaborate with applied scientists, product managers, and other engineers to define and deliver customer-focused solutions.
- Write high-quality, maintainable code and participate in design and code reviews.
- Drive operational excellence through monitoring, automation, and continuous improvement.
About the team
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-the-art 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.
About our team
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon—such as product detail pages, the homepage, and store-in-store pages—to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Stores stakeholders to lead the expansion and growth of SP across Amazon-owned and -operated pages beyond Search. We operate full stack—from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences—all designed to deliver meaningful value.
Qualifications
- 3+ years of non-internship professional software development experience
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Experience in computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis)
- Experience designing, building, operating, and managing large-scale distributed systems or web services
Preferred Qualifications
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Hands-on experience applying Generative AI (GenAI) or Large Language Model (LLM) to real-world problems at scale.
- Familiarity with NLP/ML frameworks (e.g., PyTorch, Hugging Face).
- Experience in building machine learning systems, recommendation engines, or large-scale data pipelines.
- Experience with AWS services or other cloud platforms.
- Strong track record of delivering complex projects end-to-end.