Engineering Program Manager, SWE Developer Productivity

Engineering Program Managers (EPMs) are one of the secrets to Apple's success in delivering impactful customer experiences across its vast ecosystem. We bridge organizational boundaries and drive cross-functional collaboration to surpass what any individual team might achieve on their own, expanding the possibilities of what we can build as a company.

Our team aims to deliver the next generation of AI-powered products, services, and tools that will enable developers inside and outside Apple to be at their most creative and efficient. We are looking for an experienced, energetic, motivated individual with great technical curiosity and a genuine passion who can thrive in a fast-paced environment. In this capacity, you will partner with leaders as well as a diverse set of team members to build and deliver AI-powered software initiatives according to Apple's high standards. You will be responsible for cross-functional alignment, project planning, tracking, execution, and reporting, while also overseeing service qualification, deployment, and operations. You will proactively identify, prioritize, and drive the resolution of program issues by communicating new feature initiatives, top issues, risks, and critical achievements to executive leadership.

• Create and maintain detailed project plans, schedule, and status documentation
• Bring together and collaborate with cross-functional stakeholder groups.
• Serve as a liaison to communicate information regarding requirements, changes, milestones reached, and other pertinent information.
• Present and communicate new feature initiatives, top issues, risks, and critical achievements to executive leadership.
• Drive focus to critical path deliverables and track execution of dependencies.
• Proactively identify risks to software delivery, develop mitigation strategies, and facilitate resolutions.Minimum of 5 years of experience in software project or product management. Bachelors degree in software engineering, computer science, or a related field. Knowledge of software engineering standard methodologies and related dependenciesStrong leadership skills including the ability to build positive relationships and influence others Excellent spoken and written communication to tailor communication style to multiple audiences Organization and multi-tasking skills with phenomenal attention to detail Experience shipping ML-powered products Thorough understanding of the software development lifecycle Knowledge of running a cloud service end to end Planning for large-scale projects while acting as central point of contact