About the job
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 closely with engineering, security, data science, and business teams to solve hard problems that span technical architecture, governance, and organizational adoption. The ideal candidate has a proven product management track record in AI/ML or infrastructure products, strong technical depth, and the ability to think creatively about new and emerging product categories. You are expected to navigate across organizational boundaries, influence decision-making at all levels, and manage a portfolio of products in a rapidly evolving space.
Responsibilities
Define and execute product strategy, roadmap, and delivery for GenAI capabilities that serve Apple's enterprise teams
Make product decisions that are deeply intertwined with technical architecture — you will engage on system design, protocol choices, security models, and infrastructure trade-offs alongside senior engineers
Partner with teams across Apple to understand their AI needs, articulate user journeys and use cases, identify pain points, and translate those into product requirements
Build prototypes and proof-of-concepts using AI coding tools such as Claude Code, Cursor, or similar — we expect PMs to "vibe code", validate ideas hands-on, and stay close to the technology rather than only writing specs
Drive adoption of products and capabilities across multiple internal teams, often through influence rather than authority
Track the competitive landscape across GenAI products, agentic systems, orchestration frameworks, and emerging protocols to inform product direction
Research best-in-class industry approaches and conduct technical teardowns of competitor offerings to inform Apple's product direction
Define and measure success through metrics frameworks — you can design KPIs for a product that didn't exist six months ago
Understand technical problems and dependencies, partner with cross-functional teams to ensure effective product launches and deliver a world-class product experience
Translate complex technical concepts into clear product specifications, user stories, and prioritized backlogs
Discuss complex industry-specific business and technical concepts with executives, managers, and technologists
Communicate product vision, strategy, and progress to audiences ranging from individual engineers to senior executives
Qualifications
Minimum
2+ years working on platform, infrastructure, developer tools, or enterprise systems products
Experience shipping AI/ML-powered products in production environments, not just prototypes or demos
Strong technical background with the ability to engage meaningfully with senior engineers on system architecture, API design, and security trade-offs
Hands-on proficiency with AI coding tools (Claude Code, Cursor, Replit, or equivalent) for rapid prototyping and idea validation
Experience working cross-functionally with engineering, security, design, and business stakeholders
Strong analytical skills with a data-driven approach to prioritization and decision-making
Excellent written and verbal communication skills with the ability to influence without direct authority
Bachelor’s Science Computer Science, Engineering, Data Science, or similar, or equivalent practical experience
Preferred
5+ years of product management experience
Advanced Degree Technical degree (i.e., Master in Computer Science, Engineering, 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 to the product rather than afterthoughts
Background in cloud-native architectures, distributed systems, or container orchestration
Python and SQL working proficiency
Experience driving platform or product adoption across large organizations with multiple independent teams
Experience evaluating build-vs-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 offerings from major cloud providers and key startups