Applied Science Manager, Sponsored Products and Brands

Amazon; Seattle (WA); On-site; USD 184,000 - 249,000; Full time

Benefits offered by this job

Health insurance

RSUs

Sign-on payments

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking an Applied Science Manager for the Sponsored Products and Brands team. You will lead a group of scientists and engineers to advance conversational ad experiences and scale ASA's multi-agent system across ad platforms.

You will own the research roadmap for contextual ad serving, understanding conversations, and generating commercial insights that help monetize AI chat experiences. Collaboration with cross-functional teams is essential to turn science into business impact.

Qualifications

• 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 applications.
• 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.

Responsibilities

• Lead the ASA team within SPB to innovate conversational ad experiences.
• Design and scale multi-agent system architectures for conversational commerce.
• Own science roadmap for contextual ad serving, conversation understanding, and commercial insights.
• Collaborate with engineering, product, and business teams to translate science investments into measurable business impact.

Skills

Applied research

NLP

Information Retrieval

Machine Learning

Java/C++/Python

Education

PhD or MS + 6+ years of applied research

Tools

Java

C++

Python

Job description

Description

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you’re energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

Key Job Responsibilities

We are looking for an Applied Science Manager to lead the Amazon Sponsored Agent (ASA) team within Sponsored Products and Brands (SPB). ASA is new agentic service that enables publishers and apps to monetize their AI experiences with conversational and agentic ads. This team owns the core ASA platform that serves contextual ads across 1P surfaces (Alexa+, Amazon.com) and 3P publisher integrations, delivering AI-native ad formats including Sponsored Collections, Sponsored Brand Agents, and Commercial Insights that seamlessly integrate into conversational experiences.

As an Applied Science Manager, you will innovate and design new conversational ad experiences that transform how customers discover and engage with products on conversational surfaces. You will lead a team of applied scientists and engineers to build and scale ASA's multi-agent system architecture for conversational commerce. You will own the science roadmap for contextual ad serving, conversation understanding, and commercial insights generation that help publishers monetize their AI chat experiences and unlock opportunities to scale Amazon's advertising business into new conversational surfaces.

This role requires strong technical depth in NLP, LLMs, multi-agent systems, and information retrieval, combined with product innovation skills to envision and prototype new advertising experiences for conversational AI. You will manage and grow a science team, set research direction, and influence product strategy. You will work across organizational boundaries with engineering, product, and business teams to translate science investments and innovative product concepts into measurable business impact.

Basic Qualifications

• 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

Preferred Qualifications

• Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, SEATTLE - 183,800.00 - 248,700.00 USD annually

Company

- Amazon.com Services LLC

Job ID: A10399752