Sr. Applied Science Manager, Amazon Advertising - Sponsored Products & Brands, Conversational Ad Experiences
Sr. Applied Science Manager, Amazon Advertising - Sponsored Products & Brands, Conversational Ad Experiences
Posted on :
22-08-2025
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1 Vacancy
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Job Description
Amazon Advertising is one of Amazons most profitable businesses responsible for defining and delivering a collection of advertising products that drive discovery and sales. As a core product offering within our advertising portfolio Sponsored Products and Brands (SPB) helps merchants retail vendors and brand owners succeed via native advertising which grows incremental sales of their products sold through Amazon. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
The Sr. Applied Science Manager in this position will lead an organization focused on designing developing and launching innovative ad experiences delivered to shoppers in conversational contexts and AI agentic applications. The team team utilizes leading-edge science and engineering technologies in generative AI to help shoppers discover new products and brands through intuitive conversational interfaces. These solutions also empower advertisers to reach shoppers using their own voice to explain how their products meet shoppers needs. The team collaborates with various teams across multiple Amazon organizations to push the boundary of whats possible in these fields.
Key job responsibilities
We are seeking a Sr. Applied Science Manager to drive transformative GenAI-based innovation for conversational and agentic ad experiences. The leader will lead a cross-functional team of talented engineers scientists and product managers to deliver these experiences for shoppers and advertisers.
As a senior leader you will play a critical role in elevating the teams scientific and technical rigor identifying and implementing best-in-class algorithms methodologies and infrastructure that enable rapid experimentation and scaling. You will establish a long-term vision for continued scientific innovation setting strategic goals to future-proof the organizations technical stacks and ML/LLM frameworks to support new and emerging business objectives. Additionally you will grow talents fostering a culture of excellence and continuous learning to enhance the organizations ability to solve complex problems.
- Experience in developing and deploying applied AI/ML solutions in customer-facing products for 10 years
- Experience leading teams of applied scientists and engineers to deliver products that satisfy customer needs for 5 years
- Ph.D. in Computer Science Information Retrieval Machine Learning Natural Language Processing Statistics Mathematics or a related field.
- Proven track record of delivering scalable and high-quality ML solutions (models and infrastructure) in areas such as recommendations ad ranking personalization or search.
- Strong communication skills with the ability to clearly convey complex technical concepts to diverse audiences including senior leadership.
- Experience with developing GenAI-based solutions such conversational experiences and AI agents.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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.
The Sr. Applied Science Manager in this position will lead an organization focused on designing developing and launching innovative ad experiences delivered to shoppers in conversational contexts and AI agentic applications. The team team utilizes leading-edge science and engineering technologies in generative AI to help shoppers discover new products and brands through intuitive conversational interfaces. These solutions also empower advertisers to reach shoppers using their own voice to explain how their products meet shoppers needs. The team collaborates with various teams across multiple Amazon organizations to push the boundary of whats possible in these fields.
Key job responsibilities
We are seeking a Sr. Applied Science Manager to drive transformative GenAI-based innovation for conversational and agentic ad experiences. The leader will lead a cross-functional team of talented engineers scientists and product managers to deliver these experiences for shoppers and advertisers.
As a senior leader you will play a critical role in elevating the teams scientific and technical rigor identifying and implementing best-in-class algorithms methodologies and infrastructure that enable rapid experimentation and scaling. You will establish a long-term vision for continued scientific innovation setting strategic goals to future-proof the organizations technical stacks and ML/LLM frameworks to support new and emerging business objectives. Additionally you will grow talents fostering a culture of excellence and continuous learning to enhance the organizations ability to solve complex problems.
- Experience in developing and deploying applied AI/ML solutions in customer-facing products for 10 years
- Experience leading teams of applied scientists and engineers to deliver products that satisfy customer needs for 5 years
- Ph.D. in Computer Science Information Retrieval Machine Learning Natural Language Processing Statistics Mathematics or a related field.
- Proven track record of delivering scalable and high-quality ML solutions (models and infrastructure) in areas such as recommendations ad ranking personalization or search.
- Strong communication skills with the ability to clearly convey complex technical concepts to diverse audiences including senior leadership.
- Experience with developing GenAI-based solutions such conversational experiences and AI agents.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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.
Required Experience:
Manager
Employment Type
Full-Time
Key Skills
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