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Salary
≈ $174k – $324k per year (Estimated)
Location
In office (Cupertino)
Seniority
Senior · 5+ years exp
Visa
H-1B filings in 12 months: 6,350 · green card filings: 37

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 14, 2026. Apple scores B on the Alion truth index.

Overview
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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.

We are looking for an outstanding Engineering Program Manager to drive the collection and delivery of real-world data that fuels the training and validation of Apple’s next-generation sensing algorithms. From cameras and health sensing to other advanced sensing systems, you will be working at the cutting edge of custom hardware, data, and software capabilities to deliver world-class Apple experiences. We are looking for Program Managers who can thrive in a dynamic workplace where both individual drive and team collaboration are the keys to success. You have experience in product development and program / project / product management, proven leadership capabilities, excellent communication skills, and a passion for shipping new technologies.

Description

In this role, you will drive complex, cross-functional data collection efforts that span hardware, software, algorithm, and operations teams, with a focus on hardware/software integration to enable both sensing algorithms and AI experiences. You will help shape data strategy: identifying what data is needed, how it integrates across hardware, software, and algorithm pipelines, and partnering with human factors research where studies involve human participants. Your ability to build relationships and trust across engineering and operations partners will be key to your success. You will scope data collection programs, build and track schedules, identify critical paths, and manage risk from initial proposal through data delivery. You will coordinate legal and operator/participant experience alongside technical execution, ensuring data collection programs land on time with quality data. You can grasp complex technical topics, identify risks and mitigation paths, and communicate clearly to both engineering partners and executive stakeholders. You will synthesize large amounts of information into concise written and verbal analyses that enable decision-making at every level, from working teams to executive reviews. The ideal candidate has an entrepreneurial approach to problem solving, is comfortable operating with ambiguity, and has exceptional organizational and leadership skills built on a solid foundation of planning and risk management.

Minimum Qualifications

B.S. degree in Computer Science, Computer Engineering, Electrical Engineering or related technical engineering discipline

1+ years of technical program or product management, or a technical leadership role in a large engineering project

Knowledgeable of one or more technologies: embedded software, sensor systems, hardware/software integration, data collection or research systems, machine learning, computer vision

Able to dive into technical details

Excellent communication, presentation, organizational, and leadership skills

Able to work with diverse teams and interact, influence, collaborate, and negotiate effectively at all levels of management

Self-motivated and proactive. Understands and deals well with a fast-paced environment, while remaining calm and flexible in the face of uncertainty

Regularly incorporates generative AI tools into daily program management work as a standard practice

Preferred Qualifications

5+ years of technical program management experience in consumer facing product development

B.S. in Computer Science, Computer Engineering, Electrical Engineering, or PhD in a technical discipline

Experience with quantitative or sensor-driven data collection programs that feed machine learning or algorithm development pipelines

Experience partnering across hardware, software, and algorithm teams to shape data strategy and drive technical integration

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