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

Weekly Hours: 40

Role Number: 200654843-3956

Summary

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The AI and Data Platform team is building Gen AI capabilities which include knowledge discovery, conversational capabilities, workflow automation, developer productivity, and more. Our mission is to increase the productivity and efficiency across Apple's Business Units. As these capabilities mature, the problems we are solving are shifting from "can AI do this?" to "how do we make AI trustworthy, governable, and reliable at enterprise scale?" We are looking for a Product Manager to join this team and take on some of the most consequential product challenges in this space. This role is ideal for someone who is deeply technical, thinks in systems and architectures rather than just features, builds prototypes to learn fast, and thrives in environments where the product category itself is still being defined. You will work at the intersection of AI/ML, enterprise infrastructure, security, and developer experience — and you will have a direct impact on how Apple operates with AI across its business.

Description

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.

Minimum Qualifications

• 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 Qualifications

• 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