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

Apple Inc.
Cupertino, United States of America
14 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 365K

Job location

Cupertino, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Computing Platforms
Data as a Services
Information Engineering
Data Infrastructure
Data Systems
Decision Support Systems
Distributed Systems
Cloud Platform System
Data Ingestion
Core Data
Information Technology
Data Analytics
Data Management
Machine Learning Operations
Data Pipelines
Data Generation

Job 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.","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.

Requirements

Do you have experience in Product vision management?, Do you have a Master's degree?, 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.

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.","internalDetails":null

Benefits & conditions

4.14.1 out of 5 stars Cupertino, CA $203,300 - $365,400 a year, Pulled from the full job description

  • Employee stock purchase plan
  • Health insurance
  • Retirement plan
  • Dental insurance
  • RSU, At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $203,300 and $365,400, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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