Are you interested in computational advertising and sponsored recommendations? Do you thrive in a fast-paced organization with a significant impact on hundreds of millions of customers? Do you love to innovate at the intersection of customer experience, deep learning, and high-scale machine-learning systems? If so, Amazon Sponsored Products could be the right place for you.
Amazon Advertising is one of Amazon's fastest growing and 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 (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP organization's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. 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!
Our team, SP OffSearch Sourcing, has a mission to deliver relevant and useful shopping experiences on non-Search pages at Amazon.com. We innovate technology solutions, develop state-of-the-art machine learning models that incorporate deep product and shopper understanding, and conduct A/B tests to ensure that we identify all useful and relevant advertisements and provide them to downstream systems for click through prediction and ad auction.
We are seeking an Applied Science Manager to lead our SP OffSearch Sourcing team. This role is critical to our ambitious vision for OffSearch ad experiences, where we aim to create highly personalized shopping journeys that adapt to different user personas, page contexts (Homepage, Detail Page, stores-in-store), seasonal trends, and integrate seamlessly with organic recommendations.
As an Applied Science Manager, you will be responsible for leading a high-performing team that consists of applied scientists and engineers. You will be instrumental in advancing our theme-aware and personalized sourcing techniques that effectively balance advertiser targeting objectives with shopper intent, ultimately driving improved demand utilization and monetization. You will drive innovation in leveraging GenAI-powered sourcing techniques to achieve deeper personalization at scale. Beyond developing and implementing new ML-based solutions, you will be responsible for consolidating and optimizing our existing sourcing pipelines to support the next generation of capabilities required to deliver on our strategic vision.
Key job responsibilities
- Lead and grow a talented team of applied scientists and software engineers, fostering a culture of innovation, customer obsession, and technical excellence
- Define and execute the scientific vision and roadmap for Sponsored Products OffSearch Sourcing, aligning with business objectives and customer needs
- Drive the development of theme-aware and personalized sourcing techniques that balance advertiser targeting objectives with shopper intent
- Lead the exploration and implementation of GenAI-powered approaches to achieve deeper advertisement personalization at scale
- Oversee the consolidation and optimization of existing sourcing pipelines to support next-generation capabilities
- Partner with product, engineering, and business stakeholders across Amazon to drive alignment and ensure successful delivery of advertising initiatives
- Design and lead experiments that validate improvements and drive data-driven decisions
- Establish best practices for scientific research, experimentation, and implementation in a production environment
- Represent the team to senior leadership and champion the team's innovations and contributions
- Identify and advocate for new technologies, approaches, and infrastructure needed to support the team's mission
- Mentor and develop scientists and engineers on your team, helping them grow their technical and leadership skills- 4+ years of applied research experience
- 3+ years of scientists or machine learning engineers management experience
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Experience programming in Java, C++, Python or related language- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- Digital advertising experience
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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
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 $165,500/year in our lowest geographic market up to $286,000/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.
