Applied Science Manager , Sponsored Ads, Brand Intelligence

$165,500 - $286,000/Yr

Amazon - Seattle, WA

Full-time - Senior

Seattle, WA

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

Amazon is seeking a passionate and visionary leader to head the Brand Intelligence team within the Sponsored Ads Advertiser Growth organization. This role involves leading a cross-functional team of Applied Scientists, Data Scientists, Business Intelligence Engineers, and Machine Learning Engineers to develop scalable solutions for context-aware Brand Understanding. The position focuses on building a central brand understanding foundation for Amazon ads, leveraging cutting-edge Machine Learning technologies to enhance the shopping experience for customers and drive advertiser growth.

Responsibilities

• Lead science and engineering strategy and roadmap for scalable solutions in Brand Understanding.
• Develop and manage a research agenda balancing short-term deliverables with long-term investments.
• Design, prototype, and test hypotheses in a high-ambiguity environment using quantitative and business judgment.
• Advance the team's engineering backbone and drive scientific innovation as a thought leader.
• Foster cross-team collaboration to execute complex projects and align science, engineering, and product strategy.
• Perform hands-on data analysis, build machine-learning models, and run A/B tests, communicating impacts to senior management.
• Collaborate with business and software teams across Amazon Ads.
• Stay updated with recent scientific publications relevant to the team.
• Provide technical and scientific guidance to team members.
• Hire and develop top talent, offering technical and career development guidance.

Requirements

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

Nice-to-haves

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

Benefits

• Competitive salary based on market location and experience.
• Equity and sign-on payments as part of total compensation package.
• Full range of medical, financial, and other benefits.