Are you passionate about revolutionizing the future of shopping through artificial intelligence? Amazon's Rufus team is seeking an exceptional Software Development Manager to lead and grow a team of talented engineers in building AI-powered shopping experiences.

As a key leader in the Rufus team—Amazon's flagship Shopping AI initiative—you will spearhead the development of innovative conversational commerce solutions powered by large language models (LLMs). This is a unique opportunity to shape the future of how millions of customers interact with Amazon's vast product ecosystem through natural, intuitive conversations.

In this role, you will:

Lead and mentor a team of highly skilled engineers in building scalable, robust AI-forward experiences
Drive technical strategy and execution for core services that enable natural language shopping interactions

Collaborate with cross-functional teams including Applied Scientists, Technical Product Managers, and Economists to push the boundaries of what's possible with generative AI

Build and scale infrastructure that allows partner teams to seamlessly integrate with Rufus's conversational capabilities

Champion engineering excellence while fostering a culture of innovation and customer obsession

We're not just improving shopping—we're reinventing it. Join us in creating an AI assistant that serves as a helpful, knowledgeable shopping companion for customers worldwide. If you're excited about leading technical innovation at the intersection of e-commerce and AI technology, we want to hear from you.

Key job responsibilities
As a Software Development Manager, you will define and drive the technical strategy for building Search experiences, leading a team of engineers to innovate at scale. You will collaborate across science, product, and design teams to deliver next-generation solutions that enhance shopping journeys for millions of customers.

A day in the life
- Thinking big and collaborating with product leadership and business stakeholders.
- Owning the end-to-end technical strategy and delivery roadmap.
- Defining initiative goals and owning all associated metrics, using data to drive decisions.
- Architecting scalable, resilient AI-driven systems that can adapt across multiple product categories and shopping missions.
- Leading and mentoring a team of engineers and applied scientists, building a culture of high technical standards, innovation, and ownership.
- Reporting regularly on development progress, quality, operations, and system performance to senior leadership.
- Maintaining a relentless focus on operational excellence, system reliability, and rapid iteration to meet customer needs.