Software Development Manager, Music Artificial Intelligence & Personalization

Software Development Manager, Amazon Music Artificial Intelligence & Personalization

Location: Culver City, CA, USA

Job : 3179046 |  Services LLC

Come join a team at the nexus of AI, machine learning, visual, and audio technologies within Amazon Music's Artificial Intelligence & Personalization organization. We're transforming how customers experience music by creating context-rich, intelligently assembled content that powers every surface—from AI-generated playlists and insights to interactive experiences and visual storytelling.

As the Software Development Manager of this Culver City-based team, you'll lead engineers building production systems that combine GenAI, ML, and immersive media to deliver breakthrough customer experiences. Your team owns critical capabilities spanning intelligent container creation, explainability, textual and visual enrichments, and music enhancement; building the future of music through AI-powered visual and audio experiences.

Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert live streams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service:
Prime members get access to all the music in shuffle mode, and top ad‑free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on‑demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa‑enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale.

Learn more at

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

• Guide architectural decisions for services handling millions of requests with strict latency/cost requirements.
• Review code and design docs for AI orchestration, LLM integration, and content generation pipelines.
• Partner with Applied Scientists on model evaluation, prompt engineering, and quality metrics.
• Collaborate with Product and TPM on roadmap prioritization, launch sequencing, and customer impact measurement.
• Represent the team in org‑wide technical reviews, operational readiness assessments, and strategic planning.
• Recruit, hire, and develop engineers who thrive in ambiguous, fast‑moving AI/ML environments.

• 3+ years of engineering team management experience.
• 7+ years of working directly within engineering teams.
• 3+ years of designing or architecting new and existing systems (design patterns, reliability and scaling).
• 8+ years of leading the definition and development of multi‑tier web services.
• Knowledge of engineering practices and patterns across the full software/hardware/networks development lifecycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations.
• Experience partnering with Product or Program Management teams.

• 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.

Amazon is an equal opportunity employer and…