Senior Product Manager - Applied Analytics, Data Engineering & AI/GenAI Platforms
Apple
Software Engineering, Product, Data Science
Seattle, WA, USA
Posted on Jan 20, 2026
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 Apple’s most critical services, ranging from Music, TV+, Sports, and Search to emerging AI and GenAI-driven experiences. We are seeking a Senior Product Manager to lead application-layer data and AI capabilities built on top of Apple’s 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 applications. This 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 & 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.
- Define and own the product vision and roadmap for application-layer data and AI capabilities built on Apple’s Data Platform.
- Translate foundational data and AI infrastructure into clear product abstractions (APIs, workflows, templates, services).
- Lead the development of applied AI and GenAI features, including intelligent assistants, reasoning workflows, automation, and decision support for data engineering and analytics use cases.
- Partner with engineering teams to align product requirements with platform architecture, scalability, reliability, privacy, and security constraints.
- Work closely with internal customer teams to understand real-world application needs and co-develop solutions.
- Communicate complex technical tradeoffs clearly to both technical and non-technical stakeholders.
- Drive prioritization across competing demands from multiple products and organizations while maintaining platform consistency.
- Measure success through adoption, developer productivity, reliability, and customer impact.
- 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.
- 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.