Software Development Manager, Amazon Music Artificial Intelligence & Personalization

Amazon Amazon · Big Tech · Culver City, CA · Software Development

Software Development Manager leading a team focused on AI and personalization within Amazon Music, building production systems that combine GenAI, ML, and immersive media for customer experiences. The role involves architectural decisions for agentic workflows, real-time AI, multi-modal content generation, and leading engineering teams.

What you'd actually do

  1. Ship customer impact - Drive top Amazon Music priorities
  2. Build technical excellence - Establish architecture patterns for agentic workflows, real-time AI systems, and multi-modal content generation at scale
  3. Grow engineering talent - Develop Engineers into technical leaders through mentorship, code reviews, and strategic project ownership
  4. Enable organizational leverage - Partner with Applied Science, Product, TPM, and cross-org teams (Alexa, Catalog, Search) to unlock platform capabilities
  5. Balance innovation and execution - Maintain production reliability while deploying AI/ML technologies

Skills

Required

  • 7+ years of working directly within engineering teams experience
  • 3+ years of engineering team management 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

  • lead engineers building production systems
  • agentic workflows
  • real-time AI systems
  • multi-modal content generation
  • AI orchestration
  • LLM integration
  • prompt engineering
  • AI/ML environments

Other signals

  • leading engineers building production systems
  • combining GenAI, ML, and immersive media
  • delivering breakthrough customer experiences
  • architectural patterns for agentic workflows, real-time AI systems, and multi-modal content generation at scale