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Apple

# Engineering Program Manager, AIML, Data Insights & Engineering

Cupertino, United States of America Manager or lead Data & Analytics 

Listed on Apple’s official careers site. Posted August 18, 2026. Check that it is still open and apply there.
[Apply on Apple’s careers site →](https://jobs.apple.com/en-us/details/200678544/engineering-program-manager-aiml-data-insights-engineering)

[OpenNash Jobs](https://jobs.opennash.com/) / [Apple](https://jobs.opennash.com/companies/apple/) / Engineering Program Manager, AIML, Data Insights & Engineering

## Job description

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because each of us shares a belief that we can create something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do.

When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. The AIML team is looking for an engineering program manager (EPM) to work with Data Scientists and Data Engineers to define, instrument, track and report key performance indicators for Apple Products. In this role, you will define how to measure new features and report key insights on those products to key stakeholders and executives.

## At a glance
- Posted by the employer: Aug 18, 2026
- First seen by OpenNash: Aug 20, 2026
- Last checked: Oct 18, 2026
- Listed for: 61 days
- Location: Cupertino, United States of America[Apply on Apple’s careers site →](https://jobs.apple.com/en-us/details/200678544/engineering-program-manager-aiml-data-insights-engineering)

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OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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