Apple
Engineering Project Manager (EPM), Ai & Data Platforms (AiDP)
$176K–$264K
Sunnyvale, California · Manager · Full-time · Posted Jun 12, 2026
- Experience
- Minimum: 4+ years managing data or software engineering projects. Preferred: 4+ years in a data or software engineering role; 1+ years managing complex, large-scale data projects with AI/ML components.
- Education
- BS in Computer Science, Engineering, a related technical field, or equivalent international degree.
About the job
Leads cross-functional programs to deliver enterprise data platforms and solutions, guiding roadmaps, execution, technical discussions, and user-focused outcomes.
What you'll do
- Lead enterprise data platform programs, including roadmaps, OKRs, and leadership status reporting.
- Coordinate teams and partners, manage schedules and dependencies, and drive consensus on execution.
- Contribute to product definition and customer-focused roadmaps; build processes that support agile delivery.
What they ask for
- 4+ years managing data or software engineering projects and coordinating multiple teams.
- Good understanding of full stack software development, including database principals, data processing, integration/API, and front-end frameworks.
- Foundational understanding or keen interest in Generative AI concepts such as RAG, prompt engineering, agentic AI, or efficient information access.
- BS in Computer Science, Engineering, a related technical field, or equivalent international degree.
Nice to have
- 4+ years of experience in a data or software engineering role.
- 1+ years managing complex, large-scale data projects with AI/ML components; successful delivery of data-driven analytics and AI projects from inception to production.
Pay
$175,500 and $263,800 (USD, base salary range)
Tools
Generative AI, Retrieval Augmented Generation (RAG), prompt engineering, agentic AI, database principals, data processing, integration/API, front-end frameworks
AI focus
The role manages enterprise data platform initiatives involving AI/ML and requires understanding or interest in Generative AI concepts, including RAG, prompt engineering, and agentic AI.
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