About The Position

Apple’s AI and Data Platform team is building generative AI capabilities in areas such as knowledge discovery, conversational capabilities, workflow automation, and developer productivity to improve productivity and efficiency across Apple’s business units. The team is addressing how to make AI trustworthy, governable, and reliable at enterprise scale. As a Product Manager on the GenAI team, you will define, build, launch, and iterate on products and capabilities that shape how AI is deployed and operated across Apple. You will partner with engineering, security, data science, and business teams on challenges involving technical architecture, governance, and organizational adoption. The role calls for technical depth, systems and architecture thinking, rapid prototyping, and comfort working in an emerging product category. You will navigate organizational boundaries, influence decisions at multiple levels, and manage a portfolio of products in a rapidly evolving space.

Requirements

  • At least 2 years working on platform, infrastructure, developer tools, or enterprise systems products.
  • Experience shipping AI/ML-powered products in production environments, beyond prototypes or demos.
  • Strong technical background and ability to engage with senior engineers on system architecture, API design, and security trade-offs.
  • Hands-on proficiency with AI coding tools such as Claude Code, Cursor, Replit, or equivalent, for rapid prototyping and idea validation.
  • Experience working cross-functionally with engineering, security, design, and business stakeholders.
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a similar field, or equivalent practical experience.

Nice To Haves

  • At least 3 years of product management experience.
  • An advanced degree; a technical degree such as a master’s in Computer Science, Engineering, or Data Science, or equivalent practical experience.
  • Experience with agentic AI systems, agent frameworks, orchestration engines, or multi-agent architectures.
  • Familiarity with emerging AI infrastructure protocols and standards for tool integration, agent interoperability, and workload identity.
  • Experience building products where governance, compliance, audit trails, and access control were core product capabilities.
  • Background in cloud-native architectures, distributed systems, or container orchestration.
  • Working proficiency in Python and SQL.
  • Experience driving platform or product adoption across large organizations with multiple independent teams.
  • Experience evaluating build-versus-buy decisions and technology partnerships.
  • Understanding of enterprise security patterns, including delegated authorization, policy enforcement, and runtime isolation.
  • Familiarity with the GenAI competitive landscape, including major cloud providers and key startups.
  • Excellent written and verbal communication skills and ability to influence without direct authority.
  • Strong analytical skills and a data-driven approach to prioritization and decision-making.

Responsibilities

  • Define, build, launch, and iterate on products and capabilities for deploying and operating AI across Apple.
  • Partner with engineering, security, data science, and business teams to address technical architecture, governance, and organizational adoption challenges.
  • Navigate organizational boundaries and influence decision-making at all levels.
  • Manage a portfolio of products in a rapidly evolving space.
  • Use rapid prototyping to learn and validate ideas.
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