Sr. Manager, Applied Science Global Selling Partner Risk Intelligence and Prevention, Trust and Store Integrity Science

We are seeking an exceptional Sr. Manager Applied Science - Global Selling Partner Risk Intelligence and Prevention to lead the development and implementation of advanced AI solutions that will transform how we prevent bad actors from operating in our store and enable Selling Partners to start and grow their business without fear of disruption so that customers and Selling Partners across the globe trust us and have confidence in the integrity of Amazons store.

This role will focus on leveraging large language models and other generative AI technologies to enhance decision-making processes automate complex risk assessment tasks and improve operational efficiency in selling partner risk management.

Key job responsibilities
Set up the vision mission and a 3-year science plan for the selling partner risk management
Lead and manage a team of scientists business intelligence engineers business analysts TPMs to build foundational and domain-specific solutions that prevent bad actors from operating in our store
Identify and prioritize high-impact opportunities for AI-driven transformation to make Amazon the most trusted store for our customers and selling partners
Mentor and guide team members to achieve their career goals and objectives

About the team
Trust and Store Integrity Science is a new org established in 2024. We are missioned to leverage the fast evolving AI advancements to transform how we prevent bad actors in our stores across science engineering product and program management and operations.

- Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track

- 10 years of practical work applying ML to solve complex problems for large-scale applications experience
- 5 years of hands-on work in big data machine learning and predictive modeling experience
- 5 years of people management experience
- PhD in Computer Science (Machine Learning AI Statistics or equivalent)
- Experience in practical work applying ML to solve complex problems for large scale applications
- Experience working with big data machine learning and predictive modeling
- Experience in people management
- Experience with big data technologies such as AWS Hadoop Spark Pig Hive etc.
- Experience with Java C or other programming language as well as with R MATLAB Python or an equivalent scripting language
- Experience researching actual applications

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.