Amazon · 4 days ago
Sr. Manager, Applied Science, Sponsored Products and Brands
Seattle, WA
Full-time
Onsite
Senior Level, Lead/Staff, Director/Executive
$197K/yr - $340K/yr
10+ years expAmazon is revolutionizing the advertising landscape through generative AI technologies. The Sr. Manager of Applied Science will lead science and engineering initiatives to enhance sponsored product ads, collaborating with various teams to ensure product-market fit and scale adoption.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
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
Qualification
Required
10+ years of building large-scale machine learning and AI solutions at Internet scale experience
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
10+ years of practical work applying ML to solve complex problems for large-scale applications experience
5+ years of hands-on work in big data, machine learning and predictive modeling experience
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
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
AmazonKleiner 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
2026-01-17
2026-01-17
Company data provided by crunchbase