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Apple is seeking an Engineering Program Manager to drive cross-functional data collection for training sensing algorithms and AI experiences. You will manage complex programs spanning hardware, software, and operations, coordinating across teams and vendors to deliver high-quality data on time.
The ideal candidate has strong leadership, excellent communication, and a proven ability to navigate ambiguity while delivering results in a fast-paced environment.
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.
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.