Senior Product Manager – Applied Analytics, Data Engineering & AI/GenAI Platforms

As a Senior Product Manager for Applied Analytics, Data Engineering & AI/GenAI, you will own product capabilities that sit above Apple’s core data platform and turn into platform capability. You will partner closely with data platform engineering, AI/ML infrastructure, privacy, security, and application teams to design and deliver: * Application-layer data services and APIs * Platform intelligence that helps developers troubleshoot and optimize data pipelines. * AI and GenAI-powered experiences for data creation, transformation, governance, and analysis * Tooling that enables developers, analysts, and product teams to safely build data-driven and AI-native applications at scale You will be responsible for defining product vision, shaping multi-quarter roadmaps, and driving execution from concept through launch, while balancing platform constraints, customer needs, and long-term architectural integrity. Minimum Qualifications Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, or a related technical field (Master’s degree preferred). 10+ years of product management experience building enterprise or platform products. Strong experience working with analytics, data engineering systems, data platforms or large-scale distributed infrastructure. Demonstrated ability to take products from concept to launch, including vision setting, roadmap ownership, and execution. Working knowledge of modern data and AI stacks, including cloud-based data platforms and analytics systems. Preferred Qualifications Deep understanding of data engineering concepts such as ingestion pipelines, transformations, batch and streaming systems, metadata, lineage, and governance. Experience building or productizing AI/ML or GenAI-powered features Familiarity with public cloud platforms (AWS, GCP, or similar) and enterprise-scale deployments. Strong systems thinking and the ability to reason about tradeoffs across performance, cost, reliability, and usability. Proven ability to influence without authority and build alignment across diverse stakeholder groups. Comfort operating in ambiguous problem spaces and shaping direction where requirements are not fully defined.