Director, Sponsored Products Detail Page Experience, Monetization and Marketplace Intelligence [...]

Amazon; Seattle (WA); On-site; USD 262,000 - 350,000; Full time

Job summary

A leading company is looking for a Director of Sponsored Products Detail Page Experience to drive innovation in advertising and maximize monetization on product detail pages. The role, which requires over a decade of experience in machine learning and team leadership, involves overseeing a team of scientists and engineers to create customer-centric advertising solutions. Ideal candidates will have a Ph.D. in a related field and a proven track record in delivering impactful ML solutions.

Qualifications

• Experience in developing machine learning solutions for customer-facing products for 10+ years.
• Leading teams of applied scientists and engineers for 2+ years.
• Strong communication skills for conveying complex technical concepts.

Responsibilities

• Own and expand product monetization strategies and auction processes.
• Oversee cross-functional teams to innovate advertising experiences.
• Apply machine learning and AI to enhance customer interactions and advertising frameworks.

Skills

Machine Learning

Leadership

Deep Learning

Product Discovery

Customer-Centric Solutions

Education

Ph.D. in Computer Science, Information Retrieval, or related field

Job description

Director, Sponsored Products Detail Page Experience, Monetization and Marketplace Intelligence , Amazon Advertising

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Director, Sponsored Products Detail Page Experience, Monetization and Marketplace Intelligence , Amazon Advertising

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Description

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.

Description

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.

The Sponsored Products (SP) Detail Page Experience, Monetization, and Marketplace Intelligence team is responsible for building compelling advertising experiences on one of the most visited destinations on the internet—Amazon’s product detail pages. We focus on delivering personalized, context-aware ads that align with shopper preferences, adapt to seasonal and event-driven moments, and integrate naturally with organic content such as deals, new arrivals, basket-building features, and fast-delivery options. The team operates full-stack—from auction mechanisms to customer-facing experiences—working closely with Amazon Stores to drive the growth of SP on detail pages.

Key job responsibilities

We are seeking a seasoned and technically proficient leader to own and expand this space. As a single-threaded leader, you will guide the transformation of the detail page into a high-impact surface for product discovery and monetization through scalable, customer-centric advertising solutions—ranging from fully sponsored content to blended ad-organic formats. This role also entails end-to-end responsibility for marketplace operations, including auction allocation and pricing strategies. The successful candidate will apply a diverse set of signals, such as page context, shopper intent, seasonality, regional trends, delivery speed, and return likelihood, as well as deep learning and generative AI models to enhance customer experience, unlock incremental monetization, reduce cost to serve, and drive sustainable advertiser RoAS (return on ad spend). Additionally, the role involves developing real-time dynamic blending systems that optimize ad load and placement to balance business and customer outcomes.

This leader will oversee a cross-functional organization of applied scientists, engineers, and product managers, owning core components such as: Tier-1 auction service for detail pages, innovation across large-scale ML, deep learning, and generative AI/LLMs, and design and deployment of new product experiences that improve discovery and deliver business impact. This is a high-impact leadership role at the intersection of personalization, monetization, product innovation, marketplace dynamics, and machine learning—ideal for a strategic, technically fluent, and customer-obsessed leader ready to shape the future of Sponsored Products advertising on Amazon product detail pages.

Basic Qualifications

• Experience in developing and deploying applied machine learning solutions in customer-facing products for 10+ years
• Experience leading multiple teams of applied scientists and engineers to deliver products that satisfy customer needs for 2+ years
  
  

Preferred Qualifications

• 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 $262,500/year in our lowest geographic market up to $350,000/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.


Company - Amazon.com Services LLC

Job ID: A2996970

Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Science, and Engineering

• Industries

  Software Development

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