Senior Product Manager – Applied Analytics, Data Engineering & AIGenAI Platforms

Imagine what you could do here. At Apple great ideas have a way of becoming great products services and customer experiences very quickly. We are building the next generation of applied data and AI platforms that power Apples most critical services ranging from Music TV Sports and Search to emerging AI and GenAI-driven are seeking a Senior Product Manager to lead application-layer data and AI capabilities built on top of Apples Data Platform. This role focuses on transforming foundational data infrastructure into developer-facing products intelligent services and GenAI-enabled workflows that teams can use to build faster safer and more scalable is a highly technical cross-functional role working at the intersection of analytics data engineering AI/GenAI systems and product abstraction.

As a Senior Product Manager for Applied Analytics Data Engineering u0026 AI/GenAI you will own product capabilities that sit above Apples core data platform and turn into platform will partner closely with data platform engineering AI/ML infrastructure privacy security and application teams to design and deliver:nn* Application-layer data services and APIsn* Platform intelligence that helps developers troubleshoot and optimize data pipelines.n* AI and GenAI-powered experiences for data creation transformation governance and analysisn* Tooling that enables developers analysts and product teams to safely build data-driven and AI-native applications at scalennYou 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.

Define and own the product vision and roadmap for application-layer data and AI capabilities built on Apples Data foundational data and AI infrastructure into clear product abstractions (APIs workflows templates services).nLead the development of applied AI and GenAI features including intelligent assistants reasoning workflows automation and decision support for data engineering and analytics use with engineering teams to align product requirements with platform architecture scalability reliability privacy and security closely with internal customer teams to understand real-world application needs and co-develop complex technical tradeoffs clearly to both technical and non-technical prioritization across competing demands from multiple products and organizations while maintaining platform success through adoption developer productivity reliability and customer impact.

Bachelors degree in Computer Science Electrical Engineering Mathematics or a related technical field (Masters degree preferred).n10 years of product management experience building enterprise or platform experience working with analytics data engineering systems data platforms or large-scale distributed ability to take products from concept to launch including vision setting roadmap ownership and knowledge of modern data and AI stacks including cloud-based data platforms and analytics systems.

Deep understanding of data engineering concepts such as ingestion pipelines transformations batch and streaming systems metadata lineage and building or productizing AI/ML or GenAI-powered featuresnFamiliarity with public cloud platforms (AWS GCP or similar) and enterprise-scale systems thinking and the ability to reason about tradeoffs across performance cost reliability and ability to influence without authority and build alignment across diverse stakeholder operating in ambiguous problem spaces and shaping direction where requirements are not fully defined.