Applied Science Manager, Sponsored Products and Brands

Amazon logo

Amazon

full-time

Posted: September 25, 2025

Number of Vacancies: 1

Job 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 teamWe 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.

Locations

  • United States, WA, Seattle, Seattle, WA, United States
  • United States, NY, New York, New York, NY, United States

Salary

Salary not disclosed

Estimated Salary Rangehigh confidence

220,000 - 350,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • - 4+ years of applied research experienceintermediate
  • - 3+ years of scientists or machine learning engineers management experienceintermediate
  • - 3+ years of building machine learning models for business application experienceintermediate
  • - PhD, or Master's degree and 6+ years of applied research experienceintermediate
  • - Knowledge of ML, NLP, Information Retrieval and Analyticsintermediate
  • - Experience programming in Java, C++, Python or related languageintermediate
  • - Deep curiosity, and basic knowledge on Gen AIintermediate

Required Qualifications

  • - 4+ years of applied research experience (experience, 4 years)
  • - 3+ years of scientists or machine learning engineers management experience (experience, 3 years)
  • - 3+ years of building machine learning models for business application experience (experience, 3 years)
  • - PhD, or Master's degree and 6+ years of applied research experience (experience, 6 years)
  • - Knowledge of ML, NLP, Information Retrieval and Analytics (experience)
  • - Experience programming in Java, C++, Python or related language (experience)
  • - Deep curiosity, and basic knowledge on Gen AI (experience)

Preferred Qualifications

  • - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers (experience)
  • - Previous work on agents or LLMs (experience)
  • Our compensation reflects the cost of labor across several US 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, please 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. (experience)

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.

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Applied Science Manager, Sponsored Products and Brands

Amazon logo

Amazon

full-time

Posted: September 25, 2025

Number of Vacancies: 1

Job 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 teamWe 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.

Locations

  • United States, WA, Seattle, Seattle, WA, United States
  • United States, NY, New York, New York, NY, United States

Salary

Salary not disclosed

Estimated Salary Rangehigh confidence

220,000 - 350,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • - 4+ years of applied research experienceintermediate
  • - 3+ years of scientists or machine learning engineers management experienceintermediate
  • - 3+ years of building machine learning models for business application experienceintermediate
  • - PhD, or Master's degree and 6+ years of applied research experienceintermediate
  • - Knowledge of ML, NLP, Information Retrieval and Analyticsintermediate
  • - Experience programming in Java, C++, Python or related languageintermediate
  • - Deep curiosity, and basic knowledge on Gen AIintermediate

Required Qualifications

  • - 4+ years of applied research experience (experience, 4 years)
  • - 3+ years of scientists or machine learning engineers management experience (experience, 3 years)
  • - 3+ years of building machine learning models for business application experience (experience, 3 years)
  • - PhD, or Master's degree and 6+ years of applied research experience (experience, 6 years)
  • - Knowledge of ML, NLP, Information Retrieval and Analytics (experience)
  • - Experience programming in Java, C++, Python or related language (experience)
  • - Deep curiosity, and basic knowledge on Gen AI (experience)

Preferred Qualifications

  • - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers (experience)
  • - Previous work on agents or LLMs (experience)
  • Our compensation reflects the cost of labor across several US 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, please 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. (experience)

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.

Target Your Resume for "Applied Science Manager, Sponsored Products and Brands"

Get personalized recommendations to optimize your resume specifically for Applied Science Manager, Sponsored Products and Brands. Our AI analyzes job requirements and tailors your resume to maximize your chances.

Keyword optimization
Skills matching
Experience alignment

Check Your ATS Score for "Applied Science Manager, Sponsored Products and Brands"

Find out how well your resume matches this job's requirements. Our Applicant Tracking System (ATS) analyzer scores your resume based on keywords, skills, and format compatibility.

Instant analysis
Detailed feedback
Improvement tips

Documents

Tags & Categories

advertising.team-applied-scienceapplied.aiMachine Learning Science