Principal Product Manager - Tech Project Amelia
Principal Product Manager - Tech Project Amelia
Posted on :
13-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 161900 - 279900
Vacancy
1 Vacancy
Posted on :
13-04-2025
Job Description
Amazon Selling Assistant is a strategic initiative that leverages Generative AI to radically simplify the Selling Partner experience. Amazon Selling Assistant leverages stateoftheart GenerativeAIpowered multiagent systems to deliver an alwayson assistant that helps sellers launch manage and growth their business on Amazon with utmost ease. Amazon Selling Assistant takes away the cognitive load of selling on Amazon by providing a single interface to handle a diverse set of selling needs including listing products managing inventory and supply chain handling product compliance devising business growth strategies and much more.
We are looking for a Product leader for Amazon Selling Assistant to join a team of innovative scientists engineers product and program managers using stateoftheart Generative AI and Machine Learning technologies to create a delightful Selling Partner experience. The leader will drive the multiyear vision for Amazon Selling Assistants core capabilities by understanding and addressing sellers challenges needs and opportunities. This role will play a senior leadership role in one of Amazons most visible Generative AI initiatives working with global partners in Selling Partner Experience FBA International Seller Services Emerging Markets and beyond. The ideal candidate has a track record of developing customerobsessed products thinks big about how to solve challenging problems with advanced technologies and moves fast to deliver solutions that drive meaningful change for customers and the business.
Key job responsibilities
Lead business and product strategy working jointly with product owners engineers and scientists to build Generative AIpowered agentic solutions
Convert strategy into discrete initiatives with clear requirements and work with technical teams to prioritize between them.
Design and develop experiments to test hypothesis; define the appropriate metrics to measure results/impact.
Devise mechanisms to analyze and synthesize user feedback to rapidly identify and address key areas of need.
Collaborate with Amazon senior leaders to identify and prioritize key usecases.
Convert strategy into discrete initiatives with clear requirements and work with technical teams to prioritize between them.
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 MLdriven technology to empower Amazons 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 AIpowered 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 Amazons policies and taking actions to grow their business.
7 years of product or program management product marketing business development or technology experience
Bachelors degree in a quantitative/technical field such as computer science engineering statistics
Experience leading technical discussions around technology decisions and strategy related to a product
Experience working directly with Engineers and Scientists on product enhancements
Demonstrated ability to deliver with complete independence in situations where product strategy is not yet defined
Strong relationships building skills; experience managing stakeholders and partners to drive cross functional programs
Ability to communicate clearly and effectively with different functional groups developers business owners and senior business leaders
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.
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 $161900/year in our lowest geographic market up to $279900/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
We are looking for a Product leader for Amazon Selling Assistant to join a team of innovative scientists engineers product and program managers using stateoftheart Generative AI and Machine Learning technologies to create a delightful Selling Partner experience. The leader will drive the multiyear vision for Amazon Selling Assistants core capabilities by understanding and addressing sellers challenges needs and opportunities. This role will play a senior leadership role in one of Amazons most visible Generative AI initiatives working with global partners in Selling Partner Experience FBA International Seller Services Emerging Markets and beyond. The ideal candidate has a track record of developing customerobsessed products thinks big about how to solve challenging problems with advanced technologies and moves fast to deliver solutions that drive meaningful change for customers and the business.
Key job responsibilities
Lead business and product strategy working jointly with product owners engineers and scientists to build Generative AIpowered agentic solutions
Convert strategy into discrete initiatives with clear requirements and work with technical teams to prioritize between them.
Design and develop experiments to test hypothesis; define the appropriate metrics to measure results/impact.
Devise mechanisms to analyze and synthesize user feedback to rapidly identify and address key areas of need.
Collaborate with Amazon senior leaders to identify and prioritize key usecases.
Convert strategy into discrete initiatives with clear requirements and work with technical teams to prioritize between them.
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 MLdriven technology to empower Amazons 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 AIpowered 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 Amazons policies and taking actions to grow their business.
7 years of product or program management product marketing business development or technology experience
Bachelors degree in a quantitative/technical field such as computer science engineering statistics
Experience leading technical discussions around technology decisions and strategy related to a product
Experience working directly with Engineers and Scientists on product enhancements
Demonstrated ability to deliver with complete independence in situations where product strategy is not yet defined
Strong relationships building skills; experience managing stakeholders and partners to drive cross functional programs
Ability to communicate clearly and effectively with different functional groups developers business owners and senior business leaders
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.
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 $161900/year in our lowest geographic market up to $279900/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
Required Experience:
Staff IC
Employment Type
Full-Time
Key Skills
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