Apple

Engineering Program Manager, Sensor Software User Studies & Data Collection

Apple Cupertino, California, United States

Computers and Electronics Manufacturing · 10,001+ employees

5 h ago
Senior (5-10 yrs) Full-time United States
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About the role

You will drive complex, cross-functional data collection efforts across hardware, software, and operations teams to support sensing algorithms and AI experiences. This involves scoping programs, managing schedules and risks, and coordinating with legal and vendor partners to ensure high-quality data delivery.

What they look for

Program Management Product Development Technical Leadership Sensor Systems Data Collection Machine Learning Computer Vision Embedded Software Risk Management Cross-functional Collaboration Vendor Management Stakeholder Management Project Planning Generative AI Communication Leadership

Requirements

The role requires a minimum of 1 year of technical program management experience and a degree in engineering or a related technical field. Candidates should possess strong technical knowledge in areas like sensor systems or machine learning and demonstrate excellent leadership and communication skills.

Full description

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 to 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, enabling both sensing algorithms and AI experiences. 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, operator/participant experience, and vendor logistics 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

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, 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

B.S. or higher degree in engineering or related technical discipline

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 managing vendor relationships, contract negotiation, or field logistics