Product Manager - Generative AI, Ai & Data Platforms (AiDP)

Role

Apple’s AI and Data Platform (AiDP) team is building generative AI capabilities for knowledge discovery, conversational interfaces, workflow automation, developer productivity, and more. The Product Manager will define strategy, roadmaps, and deliverables for GenAI capabilities used across Apple’s internal organizations, working at the intersection of AI/ML, infrastructure, security, and developer experience.

Key Responsibilities

• Define and execute product strategy, roadmap, and delivery for GenAI capabilities serving enterprise teams.
• Make product decisions tightly coupled to technical architecture, engaging on system design, protocol choices, security models, and infrastructure trade-offs.
• Partner across engineering, security, data science, and business teams to gather needs, map user journeys, and translate them into product requirements and prioritized backlogs.
• Build prototypes and proofs-of-concept using AI coding tools (e.g., Claude Code, Cursor, Replit) and validate ideas hands-on.
• Drive adoption across multiple internal teams through influence, operational guidance, and change management.
• Track competitive landscape and conduct technical teardowns of competitor offerings to inform product direction.
• Define and measure success using KPIs and metrics frameworks for rapidly evolving products.
• Communicate product vision and progress to stakeholders ranging from engineers to senior executives.

Preferred Qualifications

• 5+ years of product management experience.
• Advanced technical degree (e.g., MS in Computer Science, Engineering, Data Science) or equivalent 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 and agent interoperability.
• Experience building products with governance, compliance, audit trails, and access control as core features.
• Background in cloud-native architectures, distributed systems, or container orchestration.
• Working proficiency in Python and SQL.
• Experience driving platform/product adoption across large organizations and evaluating build-vs-buy decisions.
• Understanding of enterprise security patterns (delegated authorization, policy enforcement, runtime isolation).

Minimum Qualifications

• 2+ years working on platform, infrastructure, developer tools, or enterprise systems products.
• Experience shipping AI/ML-powered production products (not just prototypes).
• Strong technical background to engage on architecture, API design, and security trade-offs.
• Hands-on proficiency with AI coding tools (Claude Code, Cursor, Replit, or equivalent) for rapid prototyping.
• Cross-functional collaboration experience with engineering, security, design, and business stakeholders.
• Data-driven analytical skills and strong written/verbal communication.
• Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent practical experience.

Pay & Benefits (summary)

• Base pay range provided: $147,400 to $272,100 (base depends on skills, location, and experience).
• Eligibility for discretionary restricted stock unit awards and Employee Stock Purchase Plan (discounted stock purchases).
• Comprehensive medical and dental coverage, retirement benefits, and other standard Apple employee benefits.
• Potential eligibility for discretionary bonuses/commission and relocation assistance.
• Educational expense reimbursement for relevant formal education.

Notes

The role emphasizes technical product leadership, systems thinking, hands-on prototyping with AI coding tools, governance and security for enterprise AI, and cross-organizational influence.