amazon

amazon

Posted via Amazon Jobs

Software Development Engineer, Conversational Ads Experience

Posted Aug 25, 2026

Role at a glance

Salary
$158.1K – $213.8K/yr
Location
New York, New York, United States Seattle, Washington, United States
Work arrangement
On-site
Employment
Internship
Experience
3+ years of non-internship professional software development experience
Education
Bachelor's degree in computer science or equivalent

Spotted an issue?

We’ll check it against the original posting.

Log in to report

Role Summary

AI-generated

The Conversational Ad Experiences team within Amazon's Sponsored Products and Brands organization builds large-scale distributed ad serving services and generative AI-powered shopper experiences. The role focuses on creating personalized, relevant sponsored content that helps shoppers discover products and enables advertisers to reach customers worldwide.

What You'll Do

  • Design, develop, and operate large-scale distributed services with low latency and high availability
  • Leverage LLMs and Generative AI to deliver personalized, contextually relevant ad experiences
  • Partner with engineering, science, and business teams to launch shopper-facing ad experiences
  • Collaborate with senior SDEs and Principal Engineers on architecture and system design
  • Build and optimize ad serving infrastructure for billions of impressions across Amazon pages worldwide
  • Write maintainable code and drive operational excellence through monitoring and continuous improvement

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

Required

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
  • 1+ years of Object Oriented Design experience
  • Experience programming with at least one software programming language

Preferred

  • 4+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree in computer science or equivalent
  • Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

Original job description

Content provided by the employer

Build the systems that deliver billions of personalized ad impressions daily — combining large-scale distributed services, LLMs, and innovative shopper experiences to help brands connect with customers during their most inspired shopping moments. You'll work on forward-thinking projects that impact both Amazon's architecture and business at massive scale.

The Conversational Ad Experiences team within Sponsored Products and Brands is making Amazon the best-in-class destination for shoppers to discover, engage, and build affinity with brands and products. We deliver visually appealing, inspiring, and relevant sponsored shopping content that helps advertisers — big or small — reach potential customers during their research and consideration stages. Our distributed ad serving services operate at low latency and high scalability, serving both billions of Amazon shoppers and millions of advertisers worldwide. We're only getting started.

Key job responsibilities
- Design, develop, and operate large-scale distributed services capable of processing millions of requests daily with low latency and high availability
- Leverage LLMs and Generative AI to solve complex problems and deliver personalized, contextually relevant ad experiences
- Partner with engineering, science, and business teams to design, implement, and launch new shopper-facing ad experiences
- Collaborate with senior SDEs and Principal Engineers on architecture and system design for high-impact, strategic projects
- Build and optimize ad serving infrastructure that scales to serve billions of impressions across Amazon pages worldwide
- Write high-quality, maintainable code and drive operational excellence through monitoring and continuous improvement

About the team
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through 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.

Basic Qualifications

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Experience programming with at least one software programming language

Preferred Qualifications

- 4+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

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, NY, New York - 158,100.00 - 213,800.00 USD annually
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually
amazon

About the company

amazon

Large Enterprise

Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.