Software Engineering Manager, Amazon Software Builder Experience (ASBX) - Agentic Ecosystem

About the role

The GenAI Tools & Agentic Ecosystem team is on a mission to make AI agents a natural extension of every Amazon builder's workflow. We build the platforms that deliver AI capabilities to builders everywhere they work, and that turn everyday AI usage into the signal that makes every tool better. We build the infrastructure that lets teams publish new capabilities once and deliver them across every AI coding tool, manage what each builder and agent can access, and drive adoption of the capabilities that make engineers dramatically more productive. And because builders generate millions of AI sessions every day, capturing the complete record of what they asked, what agents did, and what tools they used, we build the infrastructure to responsibly capture, standardize, and learn from that signal, feeding it back into model quality, friction analysis, and how we measure AI fluency across the company.

Key job responsibilities

• Hire, develop, and retain a strong, inclusive team of software engineers, and own their performance and career growth
• Set the vision, strategy, and multi-year roadmap for how new AI skills, agents, and integrations reach builders, and how their usage makes those tools better over time
• Build the platform that lets a team publish a skill, agent, or integration once and deliver it to every AI coding tool builders use, and extend it to new coding tools as they emerge
• Own the full data lifecycle for AI coding usage: capture, standardization, de-identification, governance, and vending
• Turn everyday AI coding sessions into signal that improves model quality, benchmarking, friction analysis, and how Amazon measures AI adoption
• Partner with Legal and Security to protect builder data while keeping it useful for the teams that depend on it
• Partner with senior leaders, product, and teams across Amazon and AWS to set direction, secure resources, and align on standards
• Raise the bar on operational excellence, delivery predictability, and engineering quality

About The Team

The GenAI Tools & Agentic Ecosystem team is on a mission to make AI agents a natural extension of every Amazon builder's workflow. We build the platforms that let teams create, publish, and discover AI skills and tool integrations - and we enable autonomous agents to tap into Amazon's vast internal ecosystem on behalf of builders. We are part of Amazon Software Builder Experience (ASBX), the organization that provides the tools and platforms every Amazon engineer uses to build, test, deploy, and operate software.

Basic Qualifications

• 3+ years of engineering team management experience
• 7+ years of engineering experience
• 8+ years of leading the definition and development of multi tier web services experience
• 1+ years of providing technical leadership and project management for all aspects of the software development lifecycle experience
• 1+ years of developing large-scale, multi-tiered distributed software systems using Java, C#, or C++ experience
• 1+ years of developing large-scale, multi-tiered distributed software systems using service-oriented architecture experience
• 1+ years of developing large-scale, multi-tiered distributed software systems using distributed programming experience
• 5+ years of Software Engineer, Software Developer, or related occupational experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• 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 partnering with product or 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