Sr. Manager, Applied Science, Sponsored Products and Brands

About the role

The Sr. Manager, Applied Science, Sponsored Products and Brands at Amazon Ads leads the development of AI technologies that revolutionize advertising experiences. This role focuses on extending sponsored product ads to off-site shopping experiences, leveraging machine learning and AI to enhance customer interactions and advertiser satisfaction.

About Sponsored Products and Brands

The Sponsored Products and Brands team at Amazon Ads is pioneering new advertising landscapes through advanced AI technologies. This role requires a deep understanding of ad systems and models, as well as the ability to translate customer needs into scalable solutions.

Key job responsibilities

• Lead science and engineering needs across ad systems and models that power sponsored products ads for offsite shopping experiences
• Surface qualitative and quantitative insights as the voice of the advertisers to shape product direction and ensure product-market fit
• Scale ad product adoption across advertisers, agencies, and tool providers
• Collaborate with product, science, and engineering teams across SPB and ads to make the right trade-off decisions to build, partner, or build together to scale shopping experiences offsite

Basic Qualifications

• 10+ years of building large-scale machine learning and AI solutions at Internet scale
• Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent)
• Experience building large-scale machine learning and AI solutions at Internet scale
• Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
• Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track

Preferred Qualifications

• 10+ years of practical work applying ML to solve complex problems for large-scale applications
• 5+ years of hands-on work in big data, machine learning and predictive modeling
• 5+ years of people management experience
• PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)
• Experience in practical work applying ML to solve complex problems for large scale applications
• Experience working with big data, machine learning and predictive modeling
• Experience in people management
• Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.
• Experience with Java, C++, or other programming language, as well as with R, MATLAB, Python, or an equivalent scripting language