New offer - be the first one to apply!
June 21, 2025
Senior • On-site
$196,900 - $340,300/yr
Seattle, WA , +2
Are you excited by the possibilities of generative AI to transform how advertisers manage and grow their selling business at Amazon? Do you want to build intelligent agentic systems that not only guide but act on behalf of advertisers? Are you excited about the possibilities of developing agentic systems for over a million advertisers? If so, Amazon Sponsored Products – Advertiser Guidance team is the right place for you.
The Sponsored Products – Advertiser Guidance team is a new team focusing on building GenAI solutions that enable advertisers to grow their selling business with Amazon. We are rethinking the core building blocks of Amazon Sponsored Ads using a GenAI agentic lens to help our Selling partners be successful. We deliver guidance to over 1M advertisers ranging from large enterprise brands to SMBs.
Key job responsibilities
We are seeking a Sr. Applied Science Manager to drive transformative GenAI based innovation for Sponsored Products and Brands advertisers. The leader will lead a cross-functional team of talented engineers, scientists, and product managers to deliver best in class guidance experiences for SPB advertisers. The leader will own the primary advertiser-facing controls that are used to create and manage performant SPB campaigns.
As a senior leader, you will play a critical role in elevating the team’s 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 organization’s 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 organization’s ability to solve complex problems.
* Experience in developing and deploying applied AI/ML solutions in customer-facing products for 5+ years
* Experience leading teams of applied scientists and engineers to deliver products that satisfy customer needs for 2+ 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
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 Company’s 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $196,900/year in our lowest geographic market up to $340,300/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.