---
title: Applied Science Manager, Sponsored Products Brands
description: Amazon is hiring for the Applied Science Manager, Sponsored Products Brands role
  in New York, NY. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/applied-science-manager-sponsored-products-brands-at-amazon-01a11592-97f9-7c19-bddd-5f62f6cf7dbe
date: 2026-11-15T01:26:44Z
og_description: Join Amazon as Applied Science Manager, Sponsored Products Brands in New York,
  NY. Pays $202.2K–$273.6K per year. Full-time role.
og_image: https://www.foundrole.com/og/ufihse.png
breadcrumbs:
  - label: Home
    url: https://www.foundrole.com/
  - label: Search
    url: https://www.foundrole.com/jobs
---

| | |
|---|---|
| **Company** | [Amazon](https://www.foundrole.com/companies/amazon?utm_source=ai_markdown) |
| **Location** | New York, NY |
| **Salary** | $202.2K/yr - $273.6K/yr |
| **Type** | Full Time |
| **Posted** | Oct 07, 2026 |

## Is this job real?

**Ghost job check:** A- · Low risk. Probably a real opening.

## Visa sponsorship

- **H-1B:** Amazon sponsors H-1B visas. It filed 25,968 H-1B petitions (FY2026 Q1 – FY2026 Q4).
- **E-Verify:** No E-Verify enrollment on record for Amazon.

## Pay for similar jobs

Most similar jobs pay $230,000 – $283,000 a year (median $260,000).

## Description

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through novel 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 ecosystem. 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 job responsibilities  
\* Hire and develop a team of high performing applied scientists that is responsible for developing AI solutions for Sponsored Brands advertiser and shopper experiences.  
\* You should be technically solid, able to roll up your sleeves easily, and have strong curiosity and appetite to invent Gen AI solutions that solve customer problems.  
\* Build recommendation systems that leverage generative models to develop and improve campaigns.  
\* Technically lead and mentor the scientists on the team.  
\* Research and apply the latest Gen AI and ML techniques and best practices.  
\* Use analytical techniques to create scalable solutions for business problems.  
\* Establish structures that enable your team to solve complex problems and deliver results.  

About the team  
We are on a mission to make Amazon the best in class destination for shoppers to discover, engage, and purchase relevant products, from brands that are relevant to them. In this role, you will design and implement Gen AI solutions that help millions of advertisers create more effective ad campaigns with intelligent recommendations, while improving the overall experience at Amazon's global scale.  

Our team invents, defines, and delivers advertising products that drive brand discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon Store businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, fast-paced, and collaborative team with an entrepreneurial spirit.

## Basic 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  
\- Bachelor's degree or above in Science, Technology, Engineering, or Mathematics (STEM), or experience in defining and creating benchmarks for assessing GenAI model performance  
\- Deep curiosity, and basic knowledge on Gen AI  
\- Deep curiosity, and basic knowledge on Gen AI

## Preferred Qualifications

\- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers  
\- Previous work on agents or LLMs  

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.  

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit <https://amazon.jobs/content/en/how-we-hire/accommodations> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.  

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at <https://amazon.jobs/en/benefits>.

USA, NY, New York - 202,200.00 - 273,600.00 USD annually  
USA, WA, SEATTLE - 183,800.00 - 248,700.00 USD annually
## Skills

- Recommender Systems
- Analytics
- Applied Research
- Python
- Artificial Intelligence
- Mathematics
- Generative AI
- C++
- Natural Language Processing
- Information Retrieval
- Machine Learning
- Generative AI Foundations
- Java
## Benefits

- Mental Health
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Parental Leave
- Paid Time Off (Pto)
- 401(k) Plans
- Employee Stock Options (ESOs)

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