Applied Science Manager, Sponsored Products and Brands
Job ID: 3111908 | Amazon.com Services LLC
Overview
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 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.
Key Responsibilities

Directly manage and lead a cross‑functional team of Applied Scientists, Machine Learning Engineers, and Software Development Engineers.
Develop science and engineering roadmaps for SPB ads response prediction with ML and Gen AI solutions, run annual planning, and foster cross‑team collaboration on model development and integration to advertising applications.
Hire and develop top talent, provide technical and career development guidance to scientists and engineers within and across the organization.
Stay informed about recent scientific publications, industrial research trends, and system designs that are pertinent to the SPB advertising business and bring those insights with the team.

About the Team
The Ad Response Prediction team within Sponsored Products and Brands (SPB) drives personalized shopping experiences for SPB Ads across placements, pages, and devices worldwide. We achieve this through ML and GenAI solutions that include customized shopper response prediction and session‑level understanding to optimize every stage of the ad‑serving process, from sourcing and bidding to widget discovery and auctions. Our responsibilities include advancing response prediction through model and feature innovations and extending prediction beyond the auction stage to areas such as targeting, sourcing, and bidding.
Qualifications

4+ years of applied research experience
3+ years of scientists or machine learning engineers management experience
3+ years of building machine learning models for business application experience
PhD, or Master’s degree and 6+ years of applied research experience
Knowledge of ML, NLP, Information Retrieval and Analytics
Experience programming in Java, C++, Python or related language

Preferred Qualifications

Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

Equal Opportunity Employer
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Compensation
Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $165,500/year in our lowest geographic market up to $286,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, 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.
Posting Date
Posted: December 23, 2025 (Updated about 3 hours ago)
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