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Applied Science Manager, Products and Brands - Offsite

Job in New York, New York County, New York, 10261, USA
Listing for: Amazon
Full Time position
Listed on 2026-05-19
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Applied Science Manager, Sponsored Products and Brands - Offsite
Location: New York

Description

The Sponsored Products and Brands (SPB) team at Amazon Ads is re‑imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across  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 are energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

About our team

The Sponsored Products and Brands – Offsite team builds solutions that extend campaigns beyond the Amazon store, reaching shoppers across third‑party environments where they discover and shop. We combine large‑scale, low‑latency systems with advanced machine learning and AI to deliver high‑quality sponsored experiences in high‑intent surfaces.

Key job responsibilities

We are looking for an Applied Science Manager with a strong background in ML and GenAI solutions and will contribute to goals carried by Amazon’s leadership team (S‑Team).

  • Lead Applied Scientists, Machine Learning Engineers, and Software Development Engineers.
  • Surface qualitative and quantitative insights as the voice of the advertisers to shape product direction and ensure product‑market fit.
  • Develop science and engineering roadmaps to increase advertiser outcomes with ML and GenAI solutions, run annual planning, and foster cross‑team collaboration on model development.
  • Hire and develop top talent, providing technical and career development guidance to scientists and engineers within and across the organization.
  • Stay informed about recent scientific publications, industry trends, and system designs.
  • Work with off‑Amazon publishers to launch new high‑impact placements that increase advertiser outcomes.
  • Develop and own mechanisms to track and improve advertiser performance.
  • Distill complex ideas and thoughts succinctly, adapting to the medium of communication.
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