Software Development Manager, Ads Agent Fabric (ads AI Core Infrastructure)

Amazon Amazon · Big Tech · NY +1 · Software Development

Software Development Manager leading a team to build and deliver core infrastructure components for AI agents in Amazon Ads. This includes an agent-builder SDK, development tools, and a managed runtime, focusing on scalability, low-latency, and integration with Ads services and foundational models. The role bridges distributed systems, ML infrastructure, and developer tooling.

What you'd actually do

  1. Own the full software development lifecycle from design to production launch of core infrastructure components and services
  2. Manage a team of software engineers from junior to senior levels
  3. Build highly scalable, low-latency infrastructure supporting real-time agent execution
  4. Define technical standards and best practices for a team of engineers across development, testing, and deployment
  5. Partner with applied scientists to translate research innovations into production-ready services

Skills

Required

  • 3+ years of engineering team management experience
  • 7+ years of working directly within engineering teams experience
  • 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
  • 8+ years of leading the definition and development of multi tier web services experience
  • 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

Nice to have

  • 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

What the JD emphasized

  • critical infrastructure components
  • AI agents at scale
  • emerging space where best practices and technical requirements are still be defined
  • deep technical expertise in building scalable platforms
  • comfort with ambiguity
  • strong system design skills
  • capability to influence senior stakeholders

Other signals

  • AI agents
  • agent-builder SDK
  • agentic applications
  • AI agents at scale
  • foundational models
  • AI-powered advertising solutions
  • applied scientists
  • research innovations