Do you want to join an innovative team of scientists and product managers who use machine learning to help Amazon provide the best experience to our Selling Partners by automatically understanding and addressing their challenges, needs and opportunities? Do you want to create solutions using advanced algorithmic systems that are powered by state-of-art ML, such as Large Language Models, Computer Vision and Causal Modeling, to seamlessly engage with Sellers? Are you excited by the prospect of collaborating with science and technology teams across Amazon Stores, to create data backed solutions to solve real world problems? If yes, then you may be a great fit to join the Selling Partner Experience Science team.

Customer Trust and Partner Support (CTPS) is the organization that constantly makes high-judgment decisions across a wide breadth of constituents. We build and deliver services for Buyers, Sellers, Vendors and other customers. We ensure that Amazon is a safe and trustworthy place to shop and an amazing place for software developers to build a successful business, selling products. We support our many partners in this journey. We face constant trade-offs and competing objectives that we need to appropriately balance, while ensuring that actions are equitable. We have to do all of this at high scale, which only happens through technology and science. We are a large organization that leads innovation in many areas, so we also play a critical role in helping Amazon more broadly beyond our own goals.


Key job responsibilities
In this role, you will be responsible for scoping development of the most advanced AI technology, and coordinating cross-functional teams to deliver products that will reshape how sellers do business on Amazon Stores. This role requires both business acumen and technical skills, engaging ML scientists, engineers, operational leaders and senior management. We are searching for a passionate Senior Program Manager, who will drive strategic programs end-to-end, from idea all the way through delivery.

A day in the life
The activities you will lead are highly impactful – managing the roadmaps and milestones, setting requirements and driving the development schedule, owning cross-team project statuses and communicating results to a broad audience, brainstorming new project ideas, initiating technical deep dives and engaging in problem solving, and organizing working sessions proactively to identify and mitigate roadblocks. This is a unique opportunity for qualified individuals to drive the entire life cycle of highly impactful, real-world ML applications, focused on use of advanced generative AI technology.

About the team
Selling Partner Experience Science (SPeXSci) is a growing team of scientists, engineers and product leaders engaged in the research and development of the next generation of ML-driven technology to empower Amazon's Selling Partners to succeed. We draw from many science domains, from Natural Language Processing to Computer Vision to Optimization to Economics, to create solutions that seamlessly and automatically engage with Sellers, solve their problems, and help them grow. Focused on collaboration, innovation and strategic impact, we work closely with other science and technology teams, product and operations organizations, and with senior leadership, to transform the Selling Partner experience.- 5+ years of program or project management experience
- Experience using data and metrics to determine and drive improvements
- Experience owning program strategy, end to end delivery, and communicating results to senior leadership- 2+ years of driving process improvements experience
- Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $104,100/year in our lowest geographic market up to $185,000/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.