Apple
Senior Manager, Product Management - AI & Data Platforms
$213K–$376K
Sunnyvale, California · Manager · Full-time · Posted May 14, 2026
- Experience
- 6+ years leading teams of technical product managers; at least 3 years in technical product management; 3 years in software development or engineering; 3 years working cross-functionally. Preferred: 5+ years of technical product management; 2 years in a business function or role; 3 years preparing and delivering technical presentations to senior leadership and/or VCs.
- Education
- Preferred: Master's degree in a technology or business-related field.
About the job
Leads product managers and the strategy, development, and adoption of enterprise data products and GenAI capabilities that make Apple’s data useful for AI and business workflows.
What you'll do
- Build, coach, and grow a team of product managers while setting team priorities and operating practices.
- Own the strategy and roadmap for data products and the data-to-GenAI stack, including ingestion, transformation, knowledge graphs, embeddings, and retrieval.
- Partner across engineering and Apple business units to launch products, measure outcomes, and improve data discovery, quality, governance, and analytics.
What they ask for
- 6+ years of experience leading teams of technical product managers.
- At least 3 years of technical product management experience and 3 years in software development or engineering.
- 3 years of cross-functional experience with engineering, UX/UI, sales, finance, and other stakeholders.
- Experience presenting to audiences of more than 100 people and managing and prioritizing roadmaps using OKR methodology across a large product portfolio.
Nice to have
- 2 years of experience in a business function or role, such as management consulting, investment banking, venture capital, or private equity.
- Master's degree in a technology or business-related field.
Pay
$212,600 and $376,300 (base salary)
Tools
GenAI, AI/ML, data ingestion, transformation, knowledge graphs, embeddings pipelines, retrieval infrastructure, OKR
AI focus
Builds data products and infrastructure for Apple’s GenAI platform and uses generative AI to improve data discovery, cataloging, lineage, governance, and self-service analytics.
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