Software Development Manager - Agentic AI, Alexa for Shopping (Rufus)

We are seeking a Software Development Manager to build agentic shopping experiences on Amazon. Alexa for Shopping (AFS), formerly Rufus, is Amazon's Shopping AI, a high-visibility generative AI investment within the Stores business built on large language models (LLMs). Our vision is for AFS to be an always-on personal shopping agent that learns what matters to each customer, anticipates their needs, and acts on their behalf. Beyond responding to requests, AFS will proactively recognize opportunities to help, suggest timely next steps, and follow through on goals that unfold over days, weeks, or months.

More specifically, this role is in a team building new software systems and customer experiences that will greatly expand AFS's availability to new cohorts of customers. The team is building agentic AI systems powered by LLMs, working at the intersection of frontier AI technology and one of the world's largest e-commerce platforms. This team is strategic and has visibility with leadership at the highest levels.

The role offers a chance to build and launch AI-powered customer experiences from the ground up, and to work closely with an exceptional group of product, engineering, and science leaders to shape the future of shopping at Amazon.

If you are passionate about reinventing e-commerce, helping customers offload tedious shopping tasks to smart, autonomous AI, and building a team that does the same, this is a rare opportunity to define the future of agentic commerce at Amazon.

Key job responsibilities

• Shape the strategic direction and vision for agentic shopping experiences by connecting customer and business needs with emerging technical opportunities.
• Provide technical leadership, vision and career guidance to help your team grow and do their best work.
• Build an engineering culture of ownership, pride and operational excellence that delivers high-performing solutions, and drive best practices within your team and across the organization.
• Work closely with engineering, science, design, and product and program management in an agile environment to deliver the best technical designs and approaches.
• Anticipate bottlenecks, manage escalations and make smart trade-offs that balance business needs with technical constraints.

A day in the life

As a Software Development Manager on the AFS Agentic team, you will:

• Lead a highly talented team of SDEs building scalable software systems and customer experiences powered by AI and LLMs.
• Partner with product, program, engineering and science teams across AFS and the wider Amazon organization to clarify requirements and build execution plans.
• Unblock your team day to day while setting a strategic quarter- to year-long vision that improves how the team works and delivers better AI-powered experiences for Amazon's customers. Basic qualifications
• Experience managing a team of high calibre Software Engineers developing complex, world class, scalable software systems that have been successfully delivered to customers
• Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
• Experience delivering products against plan in a fast-paced, multi-disciplined, distributed-responsibility and often ambiguous environment
• Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
• Experience in leading the definition and development of multi tier web services
• Experience partnering with product and program management teams

Preferred qualifications

• Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
• Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
• Experience building products leveraging large language models, generative AI, or agentic AI systems

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