About Apple
The personal technology company redefining user experience
Key Highlights
- Market cap of $3 trillion as of 2022
- Over 1 billion active devices worldwide
- Comprehensive medical plans including mental healthcare
- Paid parental leave and gradual return-to-work program
Apple Inc. (NASDAQ: AAPL), headquartered in Cupertino, CA, is the world's most valuable company with a market capitalization of $3 trillion as of 2022. Known for its iconic products such as the iPhone, iPad, and Mac, Apple serves over 1 billion active devices globally. The company has a strong commi...
🎁 Benefits
Apple offers comprehensive medical plans covering physical and mental healthcare, paid parental leave, and a gradual return-to-work program. Employees...
🌟 Culture
Apple's culture emphasizes an obsessive focus on user experience and consumer privacy, setting it apart from competitors. The company promotes inclusi...
Skills & Technologies
Overview
Apple is hiring a Senior Product Manager for Applied Analytics, Data Engineering & AI/GenAI Platforms to lead the development of application-layer data services and AI capabilities. You'll work closely with engineering teams to transform foundational data infrastructure into intelligent services. This role requires strong expertise in data and AI technologies.
Job Description
Who you are
You have 5+ years of experience in product management, particularly in data engineering and AI platforms — you've successfully led cross-functional teams to deliver complex technical products that meet user needs and drive business impact. Your strong analytical skills enable you to make data-driven decisions and prioritize product features effectively.
You possess a deep understanding of data infrastructure and AI technologies — you can translate technical concepts into user-friendly products and communicate effectively with both technical and non-technical stakeholders. Your experience in managing product roadmaps and defining success metrics has equipped you to drive product vision and strategy.
You thrive in collaborative environments and enjoy working with engineering, design, and data teams — you understand the importance of building relationships and fostering a culture of innovation. Your ability to navigate ambiguity and adapt to changing priorities makes you a valuable asset to any team.
Desirable
Experience with GenAI technologies or similar AI frameworks would be a plus — you are familiar with the latest trends in AI and how they can be applied to enhance user experiences. A background in software development or data science can further strengthen your candidacy.
What you'll do
In this role, you will own the product capabilities that sit above Apple’s core data platform — you will lead the design and delivery of application-layer data services and APIs that empower developers to build scalable applications. You will collaborate closely with data platform engineering and AI/ML infrastructure teams to ensure that the products you develop meet the highest standards of quality and performance.
You will be responsible for defining product requirements and success metrics — you will conduct user research to understand the needs of developers and analysts, ensuring that the tools you create are intuitive and effective. Your role will involve prioritizing features based on user feedback and business goals, and you will work with engineering teams to implement these features in a timely manner.
You will also focus on creating AI and GenAI-powered experiences for data creation, transformation, governance, and analysis — your work will enable teams to leverage data more effectively and drive innovation across Apple’s services. You will be instrumental in shaping the future of data-driven applications at Apple.
What we offer
At Apple, you will be part of a dynamic team that is dedicated to pushing the boundaries of technology — you will have the opportunity to work on cutting-edge projects that impact millions of users worldwide. We offer a competitive salary and benefits package, along with a collaborative work environment that encourages creativity and growth.
You will have access to professional development opportunities and resources to help you advance your career — we believe in investing in our employees and supporting their growth. Join us at Apple and be part of a team that is transforming the way people interact with technology.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at Apple.
Similar Jobs You Might Like
Based on your interests and this role
Product Manager
Apple is hiring a Senior Product Manager for Applied Analytics, Data Engineering & AI/GenAI Platforms to lead the development of application-layer data services and AI capabilities. You'll work closely with engineering teams to transform foundational data infrastructure into intelligent services. This role requires strong expertise in data and AI technologies.
Senior Product Manager
Apple is seeking a Senior Product Manager to lead the development of machine learning lifecycle tools for their AI/ML initiatives. You'll collaborate with internal teams to enhance developer experiences and accelerate feature development. This role requires 10+ years of product management experience in technical enterprise products.
Senior Product Manager
Apple is hiring a Senior Product Manager to lead the development of machine learning lifecycle tools for Apple Services. You'll work closely with internal ML engineering teams and require expertise in MLOps and data platforms. This position requires 10+ years of product management experience.
Engineering Manager
Apple is hiring a Senior Engineering Manager for their Data Platform team to lead the development of foundational systems for AI and Data governance. You'll work with technologies like BigQuery, Docker, and Kubernetes to enhance machine learning infrastructure. This role requires strong leadership in distributed systems and compliance with AI regulations.
Engineering Manager
Apple is hiring a Senior Engineering Manager for their Data Platform team to lead the development of foundational platforms for large-scale machine learning. You'll work with technologies related to ML infrastructure and data workflows. This role requires extensive experience in managing engineering teams and expertise in machine learning.