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

Apple· Software and Services
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Hybrid (Seattle, Washington / Cupertino, California)$196.9k - $354.1kFull-timePosted 6mo ago

About the role

Senior Product Manager to lead application-layer data and AI capabilities built on Apple’s Data Platform. Focus on transforming foundational data infrastructure into developer-facing products, intelligent services, and GenAI-enabled workflows for teams to build faster, safer, and more scalable applications. Cross-functional role at intersection of analytics, data engineering, AI/GenAI systems, and product abstraction.

Responsibilities

  • 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.

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.
  • 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.

Skills

Required:Product management for enterprise/platform productsAnalytics and data engineering systems

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Educational expense reimbursement
  • Discretionary bonuses or commission payments (potential)
  • Relocation assistance (potential)
  • Apple Employee Stock Purchase Plan participation
  • Discretionary employee stock units (RSUs) for eligible employees
Last updated Jul 3, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

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