Sr. Software Engineering Manager, Pricing-subscriptions & Infrastructure

Apple Apple · Big Tech · Seattle, WA · Machine Learning and AI

Engineering Manager to lead a team modernizing a platform for pricing and subscriptions across Apple services. The role involves technical and people leadership, focusing on making the platform AI-ready and identifying opportunities for AI/ML integration. Requires expertise in JVM technologies and experience modernizing large-scale systems.

What you'd actually do

  1. Ship product-driven features while driving modernization of the codebase — improving modularity, test coverage, observability, and developer velocity.
  2. Provide hands-on technical guidance across system design, API design, data modeling, and performance optimization — including writing code.
  3. Make the codebase and data pipelines AI-ready: clean APIs, well-structured data, and integration points for ML models and AI-assisted tooling.
  4. Build, lead, and grow a team of highly capable engineers — hire where needed, set clear expectations, and create an environment where great engineers thrive.
  5. Partner with Product, Finance, Commerce, and peer engineering teams across sites to translate business needs into technical solutions.

Skills

Required

  • 8+ years of software engineering experience
  • 3+ years in engineering management
  • Deep expertise in JVM technologies (Java and/or Scala)
  • RESTful services
  • relational databases
  • distributed systems
  • Track record of modernizing large-scale, high-availability systems
  • Strong system design skills
  • ability to operate at both architecture and implementation level
  • Proven ability to attract, hire, and develop strong engineering talent
  • Excellent communication skills across engineering and non-engineering stakeholders
  • Strong judgment and ownership

Nice to have

  • Experience shipping AI/ML-powered features or integrating AI/ML into production systems
  • Experience with pricing systems, subscription platforms, or commerce/fintech domains
  • Experience partnering with Finance, Business, or other non-engineering organizations on data-driven decision-making

What the JD emphasized

  • modernize a platform that powers pricing and subscriptions
  • AI-ready platform
  • AI-assisted workflows
  • AI/ML can improve pricing decisions, automation, or developer productivity