Software Development Manager, Sponsored Products and Brands

Amazon
USA, NY, New York2026-04-17ONSITE

About the job

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

Responsibilities

Directly manage and lead a team of Software Development Engineers and Machine Learning Engineers.

Develop engineering roadmaps and drive engineering executions for SPB Off-Search ads retrieval with Machine Learning (ML) and GenAI solutions, lead hardware and operational annual planning, to enable multi-surface, placement, and theme monetization and to deliver more relevant, engaged, and personalized ad and shopping experiences on Amazon Stores.

Foster cross-team collaborations with applied science teams and page experience teams in Off-Search and SPB to define and deliver customer-focused solutions.

Hire and develop top talent, provide technical and career development guidance to team members within and across the organization.

Qualifications

Minimum

3+ years of engineering team management experience

8+ years of working directly within engineering teams experience

Experience debugging, profiling, and implementing best software engineering practices in large-scale systems, or experience designing or architecting (design patterns, reliability and scaling) of new and existing systems

Bachelor's degree or above in Computer Science, Engineering, or related fields

Preferred

Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy

Experience building large-scale machine learning models and infrastructure for online recommendation, ads ranking, personalization, or search

Master's degree or above in Computer Science, Engineering, or related fields

Strong track record of delivering complex initiatives end-to-end including planning, designing, execution, and operation.