Software Development Manager, Products and Brands Off-Search

Overview

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  and beyond. We are at the forefront of reinventing 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.

• 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.

The Off‑Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon—such as product detail pages, the homepage, and store‑in‑store pages—to drive monetization. Our vision is to deliver highly personalized, context‑aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event‑driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket‑building content, and fast‑delivery options.

To execute this vision, we work in close partnership with Stores stakeholders to lead the expansion and growth of SP across Amazon‑owned and ‑operated pages beyond Search. We operate full stack—from backend ads‑retail edge services, ads retrieval, and ad auctions to shopper‑facing experiences—all designed to deliver meaningful value.

• 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

• 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.

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…