[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Amazon jobs](https://jobs.opennash.com/companies/amazon/) · [Search jobs](/search/) Amazon · Palo Alto, CA # Software Development Engineer, Sponsored Products and Brands US, CA, Palo Alto Software Engineering Listed on Amazon’s official careers site. Posted September 11, 2026. Check that it is still open and apply there. [Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10537085/software-development-engineer-sponsored-products-and-brands) [OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Software Development Engineer, Sponsored Products and Brands ## Job description Redefine how ads become a personalized, inspiring part of the customer journey — applying Generative AI and Large Language Models to transform advertising experiences across Amazon's shopping surfaces at massive scale. You'll build hyper-scale online systems, offline data pipelines, and machine learning infrastructure that power ad experiences beyond Search for hundreds of millions of shoppers. The Off-Search team within Sponsored Products and Brands (SPB) builds delightful ad experiences across surfaces beyond Search — product detail pages, the homepage, and store-in-store pages. We deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, and integrates seamlessly with organic recommendations. We operate full stack — from backend ads-retail edge services, ad retrieval, and ad auctions to shopper-facing experiences — all designed to deliver meaningful value. You'll have the opportunity to transform core areas like ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations by designing globally scalable solutions that evolve in the right long-term direction while delivering iterative value to customers. ### Key job responsibilities - Apply Generative AI (GenAI) and Large Language Models (LLMs) to deliver more relevant, personalized ad and shopping experiences across Amazon surfaces - Design, develop, and operate large-scale distributed systems for Sponsored Products and Brands advertising - Build and optimize data pipelines and services that improve ad retrieval, allocation, whole-page relevance, and differentiated recommendations - Design globally scalable solutions that evolve in the right long-term direction while delivering iterative value to customers - Collaborate with applied scientists, product managers, and engineers to define and deliver customer-focused solutions end to end - Write high-quality, maintainable code and participate in design and code reviews - Drive operational excellence through monitoring, automation, and continuous improvement ### A day in the life You'll help build hyper-scale online systems, offline data pipelines, and machine learning infrastructure — leveraging GenAI and LLMs to transform how ads are retrieved, allocated, and experienced. You'll have the opportunity to redesign how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. ### About the team The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through advanced 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. ## At a glance - Posted by the employer: Sep 11, 2026 - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 11, 2026 - Listed for: 30 days - Location: US, CA, Palo Alto[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10537085/software-development-engineer-sponsored-products-and-brands) ## More jobs at Amazon ### [Senior Software Development Engineer, Stores Foundational AI - Rufus](https://jobs.opennash.com/companies/amazon/jobs/9fc6f7a8badfcdee76eb/) US, CA, Palo Alto ### [Software Development Engineer II, Rufus Engineering](https://jobs.opennash.com/companies/amazon/jobs/651a4f6e879928eca114/) US, CA, Palo Alto ### [Software Development Engineer, APM Insights](https://jobs.opennash.com/companies/amazon/jobs/7516e41559fadb9d25d7/) US, CA, Palo Alto ### [Software Development Engineer, Ads - Publisher Technology](https://jobs.opennash.com/companies/amazon/jobs/d5d4555707dbb0640c37/) US, CA, Palo Alto ### [Software Development Engineer, Amazon Ads Demand Tech, Forecasting and Guidance](https://jobs.opennash.com/companies/amazon/jobs/4ef0ae3a51754b00be3a/) US, CA, Palo Alto ## Similar jobs at other companies ### [Software Development Engineer](https://jobs.opennash.com/companies/fortinet/jobs/28951e39aa65fab8d748/) Fortinet · Sunnyvale, CA, United States ### [Software Development Engineer (GUI)](https://jobs.opennash.com/companies/fortinet/jobs/bb39f255ec65bd5058b8/) Fortinet · Sunnyvale, CA, United States ### [Software Development Engineer II](https://jobs.opennash.com/companies/optimum/jobs/bdef493135bced9dff7b/) Optimum · Bethpage, NY, US ### [Software Development Engineer III](https://jobs.opennash.com/companies/optimum/jobs/3fea6604c9aa98bcc956/) Optimum · Bethpage, NY, US ### [Senior Embedded Software Development Engineer](https://jobs.opennash.com/companies/microsoft/jobs/47f921f9ea9b6ae753e9/) Microsoft · United States, Washington, Redmond [Jobs in Palo Alto, CA](/locations/us/ca/palo-alto/)[Jobs in California](/locations/us-ca/)[Software Engineering jobs](/functions/software-engineering/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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