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Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Nov 4, 2026. Apple scores A on the Alion truth index.

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Apple is an American multinational technology company founded in 1976 by Steve Jobs, Steve Wozniak and Ronald Wayne, and headquartered in Cupertino, California. It designs and sells consumer hardware including the iPhone, Mac, iPad, Apple Watch, AirPods and Vision Pro, together with the operating systems and silicon that run them. A growing services division built around the App Store, iCloud, Apple Music, Apple TV+ and Apple Pay now contributes a large share of profit, making Apple one of the most valuable companies in the world.

Do you love understanding every detail of how new technologies work? Join the team that serves as Apple’s nerve center, our Information Systems and Technology group. There are countless ways you’ll contribute here, whether you’re coordinating technology needs for product launches, designing music solutions for retail locations, or ensuring the strength of in-store Wi-Fi connections. From Apple Pay to the Apple website to our data centers around the globe, you’ll help design and manage the massive systems that countless employees and customers rely on every day. You’ll also build custom tools for employees, empowering them to solve complex problems on their own. Join our team, and together we’ll explore all the ways to improve how Apple operates, freeing our employees to do what they do best: craft magical experiences for our customers.

You will be a member of Apple’s organization responsible for driving Generative AI and Data Platforms for Apple enterprise. The enterprise data warehouse manages petabytes of data, processes billions of rows of data to provide insights and enable informed business decisions. This team provides data analytics, machine learning, and data science solutions to various Apple business groups. Our team champions enterprise Generative AI by providing innovative platforms and solutions to transform how we work. We do this with an outstanding group of engineers, data scientists, engineering managers, and product and program managers.

AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

Description

We are looking for an Engineering Project Manager (EPM), who will be instrumental in orchestrating the successful delivery of complex, cross-functional initiatives that drive significant business impact.

Are you a project manager that thrives on working on new technologies and fast-paced application and product development? Do you like to lead a multidisciplinary team working on the future of enterprise data analytics? Then we want to hear from you!

Minimum Qualifications

4+ years of industry experience in an engineering role.

2+ years of managing Cloud Infrastructure and Database setup programs, bringing multiple teams together and marching towards common objectives.

BS in Computer Science, Engineering, or a technical related field, or international degree equivalent

Preferred Qualifications

Understanding of setups of Relational, and noSQL databases

Understanding of Cloud Infrastructure like AWS, Database Security and compliance areas

Understanding of Networking and Storage

Ideally, you have 1 year experience exposure to AI or ML programs in an enterprise environment

Your ability to navigate ambiguity in a high-stakes, fast-moving environment with efficiency, discretion, integrity, and confidentiality is recognized by peers and teams

A self-motivated, independent, and proactive person with exceptional interpersonal skills; demonstrated creative and critical thinking capabilities; can quickly triage, prioritize, and lead under pressure.

Outstanding communication and presentation skills, written and verbal, to all levels of an organization.

Have experience with enterprise generative AI tools

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