Senior Product Manager - Platform & AI Systems (lms)

Apple Apple · Big Tech · Cupertino, CA · Sales and Business Development

Senior Product Manager for Platform & AI Systems (LMS) at Apple, focusing on backend architecture, admin tools, and audience management for a Learning Management System. The role involves defining product strategy, enabling AI-driven features like personalization and recommendation engines, and ensuring scalable, secure system integration of ML models. Requires strong technical understanding of APIs, data models, and system architecture, with experience in Agile environments and integrating ML models into production systems at scale.

What you'd actually do

  1. Define and execute the backend product strategy and roadmap for our admin tools and Audience Management.
  2. Design and deliver the backend capabilities (data models, APIs, integrations) required to support advanced AI-driven features like personalization, chatbots, and recommendation engines.
  3. Architect enterprise-grade backend solutions that are highly reliable and secure.
  4. Act as the critical bridge between engineering, data science, technical program managers (TPMs), and front-end PMs to drive execution from initial concept to a flawless global launch.
  5. Define and track key product success metrics (adoption, system performance, admin efficiency, reliability).

Skills

Required

  • 8+ years of product management experience, with a strong focus on backend, platform, or enterprise systems.
  • Prior experience building, scaling, or integrating Learning Management Systems (LMS), EdTech platforms, or Sales Enablement tools.
  • Deep technical understanding of APIs, data models, system architecture, and complex integrations.
  • Proven track record of building admin tools, configuration systems, and scalable product solutions from complex technical requirements.
  • Strong experience thriving in Agile environments and collaborating seamlessly with cross-functional technical and business teams.
  • Bachelor's degree in Computer Science, Engineering, Business, or equivalent practical experience.

Nice to have

  • Experience integrating Machine Learning models, LLMs, or AI-driven features into production systems at scale.
  • Experience launching enterprise software on a global scale, with a strong understanding of international data privacy regulations (e.g., GDPR, CCPA) and compliance standards.
  • Previous hands-on background in software engineering, data engineering, or system architecture before transitioning to product management.
  • Master's degree in a technical field or an MBA.

What the JD emphasized

  • backend product strategy
  • AI/ML needs
  • AI-driven features
  • integration of ML models
  • AI/ML Expertise
  • global deployment
  • privacy
  • audit requirements
  • international data privacy regulations
  • compliance standards

Other signals

  • AI/ML needs
  • AI-driven features
  • integration of ML models
  • AI/ML Expertise