Senior Program Manager, Selling Partner Experience Science
Amazon.com
The Selling Partner Experience (SPX) organization strives to make Amazon the best place for Selling Partners to do business. The SPX Science team is building an AI-powered conversational assistant to transform the Selling Partner experience. The Selling Assistant is a trusted partner and a seasoned advisor that’s always available to enable our partners to thrive in Amazon’s stores. It takes away the cognitive load of selling on Amazon by providing a single interface to handle a diverse set of selling needs. The assistant always stays by the seller's side, talks to them in their language, enables them to capitalize on opportunities, and helps them accomplish their business goals with ease. It is powered by the cutting edge of Generative AI, going beyond a typical chatbot to provide a powerful, personalized experience to sellers running real businesses, large and small.
Do you want to join an innovative team of scientists, engineers, product and program managers who use state-of-the-art Generative AI and Machine Learning technologies to help Amazon create a delightful Selling Partner experience? Do you want to build solutions to real business problems by automatically understanding and addressing sellers’ challenges, needs and opportunities? Are you excited by the prospect of contributing to one of Amazon’s most strategic Generative AI initiatives? If yes, then you may be a great fit to join the Selling Partner Experience Science team (SPeXSci).
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. We are focused on building seller facing AI-powered tools using the latest science advancements to empower sellers to drive the growth of their business. We strive to radically simplify the seller experience, lowering the cognitive burden of selling on Amazon by making it easy to accomplish critical tasks such as launching new products, understanding and complying with Amazon’s policies and taking actions to grow their business.
Do you want to join an innovative team of scientists, engineers, product and program managers who use state-of-the-art Generative AI and Machine Learning technologies to help Amazon create a delightful Selling Partner experience? Do you want to build solutions to real business problems by automatically understanding and addressing sellers’ challenges, needs and opportunities? Are you excited by the prospect of contributing to one of Amazon’s most strategic Generative AI initiatives? If yes, then you may be a great fit to join the Selling Partner Experience Science team (SPeXSci).
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. We are focused on building seller facing AI-powered tools using the latest science advancements to empower sellers to drive the growth of their business. We strive to radically simplify the seller experience, lowering the cognitive burden of selling on Amazon by making it easy to accomplish critical tasks such as launching new products, understanding and complying with Amazon’s policies and taking actions to grow their business.
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