Senior Applied Science Manager, Amazon Sponsored Products & Brands
Senior Applied Science Manager, Amazon Sponsored Products & Brands
Job ID: 3126301 | Amazon.com Services LLC
The Sr. Manager Applied Science will lead a cross‑functional team of 30+ builders in pioneering GenAI experiences for +1.3MM Amazon Sponsored Product and Brand (SPB) advertisers. The leader will invent and build the SPB‑Agent, a GenAI platform that transforms retail‑media advertising for SPB advertisers—from emerging brands to global brands selling on Amazon. SPB‑Agent will serve as an intelligent advisor integrated directly into Amazon Ad Console and Selling Partner portals (Seller Central and Vendor Central). Through conversational interfaces and deep reasoning, it will help advertisers discover growth opportunities, optimize campaign performance, and execute sophisticated strategies.
Key job responsibilities:
- Lead a cross‑functional team of Applied Scientists, Engineers, and Product leaders.
- Define and deliver the science and engineering roadmap for SPB Agent, translating business goals into agentic experiences and driving integration of the SPB‑Agent into advertising applications.
- Hire and develop top talent, providing technical direction and career growth guidance to scientists and engineers within and across organizations.
- Stay current on research advances, industry trends, and system architectures relevant to agentic AI for SPB’s advertising business.
About the team: The Advertiser Guidance team sits at the heart of Sponsored Products and Brands, tackling advertising’s most complex challenges: how do you guide 1.3+ million advertisers—from first‑time sellers to global brands—to create and manage campaigns that drive real business growth? Our advertisers span every industry, budget level, and sophistication and manage campaigns with vastly different goals, creating immense technical complexity and a transformative opportunity to drive impact at scale.
Basic Qualifications
- M.S. in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, Statistics, Mathematics, or related discipline
- Experience managing and growing a high‑performing and diverse team of applied scientists and engineers for at least 5 years
- Experience building large‑scale machine learning and AI solutions for at least 5 years
Preferred Qualifications
- Ph.D. in a related discipline
- Experience building large‑scale machine‑learning models and infrastructure for online recommendation, ads ranking, personalization, or search
- Experience developing and deploying agentic AI solutions
- Strong communication skills to convey complex technical concepts to all levels of the organization
- Experience in advertising
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our compensation reflects the cost of labor across several US geographic markets. Base pay ranges from $196,900/year in the lowest market to $340,300/year in the highest 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; equity, sign‑on payments, and other forms of compensation may be part of a total compensation package. For more information on benefits, visit Amazon Employee Benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.