Amazon
Sr. Manager, Applied Science, Sponsored Products and Brands
Amazon, New York, New York, us, 10261
Sr. Manager, Applied Science, Sponsored Products and Brands
The Sponsored Products and Brands team at Amazon Ads is re‑imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We bridge human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. The SPB Global Optimization (GO) team was created recently to accelerate GMSP growth in non‑US markets, building scalable, intelligent solutions and pioneering new GenAI applications in multi‑modal advertising.
Key Responsibilities
Lead a cross‑functional team of Applied Scientists, Machine Learning Engineers, and Software Development Engineers to accelerate GMSP across multiple EU markets.
Understand the unique needs of advertisers and shoppers in diverse marketplaces to craft the vision and milestones for the SPB GO program in EU.
Architect next‑generation systems that replace legacy monolithic infrastructure with scalable, intelligent solutions that scale worldwide on day one.
Pioneer breakthrough applied science in multi‑modal GenAI applications for advertising, combining text, image, and multilingual support.
Drive end‑to‑end innovation from research ideation through production deployment at Amazon scale.
Hire and develop top talent, providing technical direction and career growth guidance to scientists and engineers within and across organizations.
Basic Qualifications
Master’s degree in Computer Science (Machine Learning, AI, Statistics, or equivalent)
8+ years of 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, and a successful record of developing junior members from academia or industry to a successful career track
Preferred Qualifications
PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)
10+ years of practical work applying ML to solve complex problems for large‑scale applications
Experience working with big data, machine learning, and predictive modeling
Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive, etc.
Experience with Java, C++, or other programming languages, as well as with R, MATLAB, Python, or an equivalent scripting language
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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $196,900/year in our lowest geographic market up to $340,300/year in our highest geographic market. Pay may vary based on knowledge, skills, and experience. Amazon is a total compensation company. Depending on the position, equity, sign‑on payments, and other forms of compensation may be included. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company
– Amazon.com Services LLC
Job ID : A3128673
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Key Responsibilities
Lead a cross‑functional team of Applied Scientists, Machine Learning Engineers, and Software Development Engineers to accelerate GMSP across multiple EU markets.
Understand the unique needs of advertisers and shoppers in diverse marketplaces to craft the vision and milestones for the SPB GO program in EU.
Architect next‑generation systems that replace legacy monolithic infrastructure with scalable, intelligent solutions that scale worldwide on day one.
Pioneer breakthrough applied science in multi‑modal GenAI applications for advertising, combining text, image, and multilingual support.
Drive end‑to‑end innovation from research ideation through production deployment at Amazon scale.
Hire and develop top talent, providing technical direction and career growth guidance to scientists and engineers within and across organizations.
Basic Qualifications
Master’s degree in Computer Science (Machine Learning, AI, Statistics, or equivalent)
8+ years of 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, and a successful record of developing junior members from academia or industry to a successful career track
Preferred Qualifications
PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent)
10+ years of practical work applying ML to solve complex problems for large‑scale applications
Experience working with big data, machine learning, and predictive modeling
Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive, etc.
Experience with Java, C++, or other programming languages, as well as with R, MATLAB, Python, or an equivalent scripting language
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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $196,900/year in our lowest geographic market up to $340,300/year in our highest geographic market. Pay may vary based on knowledge, skills, and experience. Amazon is a total compensation company. Depending on the position, equity, sign‑on payments, and other forms of compensation may be included. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company
– Amazon.com Services LLC
Job ID : A3128673
#J-18808-Ljbffr