About the role

What will you do at Apple?

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.

DESCRIPTION

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.

Which skills does this role require?

Product ManagementCloud ComputingAPIsData ServicesData PipelinesToolingStakeholder ManagementProblem SolvingApplication DevelopmentEnterprise ProductsDistributed SystemsPrivacySecurityData TransformationBatch ProcessingMachine LearningLLMsProduct Strategy

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
Machine learning jobsCompare current openings and review what to look for in this role.
Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.