Sr. Manager, Applied Science, StoreGen

As a Senior Manager of Applied Science within StoreGen you will be a key technical leader driving Amazons transformation to AI-native software this pivotal role youll lead a dedicated cross-functional R&D team balancing exploratory research with practical implementation to help achieve our goal of making teams more efficient through AI-native development practices.

Your responsibilities will span the entire spectrum of AI-native development. Youll spearhead the scientific strategy and execution for StoreGens AI initiatives identifying high-impact opportunities where applied science can accelerate our transition. This will involve driving research and innovation in critical areas such as specification-centric development automated validation and AI-driven testing.

A significant part of your role will be developing frameworks and methodologies to measure and validate the effectiveness of AI-native approaches ensuring we can demonstrate concrete efficiency gains. Youll build and mentor a team of scientists and engineers fostering a culture of innovation while maintaining Amazons high standards for reliability and customer experience.

Collaboration will be key to your success. Youll partner closely with Product and Engineering leadership to translate research innovations into practical tools that can scale across Amazon Stores. Additionally youll work with AWS Amazon Software Builder Experience and other Amazon AI teams to leverage and influence the development of foundation models and AI infrastructure.

As a thought leader in this space youll represent StoreGen in technical forums and strategic discussions helping shape Amazons technical future in the AI era. Your expertise and vision will be crucial in guiding Amazons transformation to AI-native development practices with the potential to fundamentally change how one of the worlds largest technical organizations builds software.

Key job responsibilities
Lead the scientific strategy and execution for StoreGens AI initiatives identifying high-impact opportunities where applied science can accelerate the transition to AI-native development

Drive research and innovation in areas critical to AI-native development such as specification-centric development automated validation and AI-driven testing

Develop frameworks and methodologies to measure and validate the effectiveness of AI-native approaches ensuring we can demonstrate concrete efficiency gains

Build and mentor a team of scientists and engineers fostering a culture of innovation while maintaining Amazons high standards for reliability and customer experience

Partner with Product and Engineering leadership to translate research innovations into practical tools that scale across Amazon Stores

Collaborate with AWS and other Amazon AI teams to leverage and influence the development of foundation models and AI infrastructure

Represent StoreGen in technical forums and strategic discussions helping shape Amazons technical future in the AI era

PhD in Computer Science Machine Learning or related field or equivalent practical experience
Experience applying ML/AI to real-world problems at scale
Strong track record of leading technical teams and delivering production ML systems
Deep expertise in large language models and their application to software development
Experience with ML operations and production deployment of AI systems

Experience with developer productivity tools and software development lifecycle optimization
Track record of successful collaboration with product and engineering teams
Strong publication record or equivalent contributions to the field
Experience with responsible AI development and ethical considerations

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $196900/year in our lowest geographic market up to $340300/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.