This role pays more than
94%
of similar roles. Most pay
$177,250–$228,112
— the shaded band above.
At the midpoint, this role pays about
$276k
versus about
$203k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
2299 open roles
on FindRole.
Listed pay typically runs
$175,000–$277,600
across 1870 roles with salary data.
Senior Product Manager – Applied Analytics, Data Engineering & AI/GenAI Platforms joins the team to lead application-layer data and AI capabilities built upon the core data platform. This role focuses on transforming foundational infrastructure into developer-facing products, intelligent services, and GenAI-enabled workflows for data creation, transformation, governance, and analysis. The successful candidate will define product visions, shape multi-quarter roadmaps, and manage the execution of APIs, automated reasoning workflows, and decision support tools. Key responsibilities include translating complex technical infrastructure into clear abstractions while balancing platform constraints like scalability, reliability, and security. The role requires expertise in analytics, data engineering systems, large-scale distributed infrastructure, and modern AI stacks including cloud-based platforms. You will solve problems related to building scalable, data-driven applications by providing tools that help internal teams build faster and more securely within the company's ecosystem.
What does a Product Manager earn in Washington?
Median $208800 from 54 postings across 17 companies.
Define and own the product vision and multi-quarter roadmap for application-layer data and AI capabilities.
Translate foundational data infrastructure into developer-facing products, including APIs, workflows, and service abstractions.
Lead the development of GenAI features such as intelligent assistants and automated reasoning workflows for data engineering.
Design tools that enable internal teams to build data-driven and AI-native applications at scale.
Align product requirements with platform constraints regarding scalability, reliability, privacy, and security.
Coordinate with internal customer teams to identify real-world needs and co-develop technical solutions.
Manage prioritization across competing demands from multiple organizations while maintaining platform consistency.
Measure success through metrics like developer productivity, adoption rates, and overall customer impact.
What we're looking for
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.
Experience with analytics, data engineering systems, data platforms, or large-scale distributed infrastructure.
Demonstrated ability to take products from concept to launch, including vision setting and roadmap ownership.
Working knowledge of modern data and AI stacks, including cloud-based data platforms and analytics systems.
Deep understanding of data engineering concepts like ingestion pipelines, transformations, batch/streaming systems, metadata, lineage, and governance (preferred).
Experience building or productizing AI/ML or GenAI-powered features (preferred).
Familiarity with public cloud platforms and enterprise-scale deployments (preferred).