Amazon · 6 hours ago
Sr. Manager, Applied Science, Sponsored Products and Brands
New York, United States
Full-time
Hybrid
Senior Level, Lead/Staff
$197K/yr - $340K/yr
8+ years expAmazon is re-imagining the advertising landscape through generative AI technologies. The role involves leading a cross-functional team to drive profitability in non-US markets, architecting next-generation systems, and pioneering applied science in multi-modal GenAI applications for advertising.
Artificial Intelligence (AI)DeliveryE-CommerceRetail
Responsibilities
Lead a cross-functional team of Applied Scientists, Machine Learning Engineers, and Software Development Engineers in delivering GMSP acceleration across multiple EU markets
Understand the unique needs of advertisers and shoppers in diverse marketplaces to craft the vision and milestones for SPB GO program in EU to create delightful experiences that increase engagement and satisfaction for both customer groups
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 multi-lingual 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
Qualification
Required
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
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
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
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 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
Benefits
Equity
Sign-on payments
Full range of medical, financial, and/or other benefits
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
Kleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-01
2025-12-31
2025-12-31
Company data provided by crunchbase