苹果AppleCare Technologies Project Manager

任职要求

Minimum Qualifications
Bachelor's degree in Electrical Engineering, Mechanical Engineering, Systems Engineering, Industrial Engineering, Computer Science, or a closely related technical discipline
4+ years of engineering project management or technical program management experience, delivering large-scale cross-functional systems or engineering programs
Partnering on technical solutions with engineering and architecture teams to influence architecture and integration decisions
Background in supporting system configuration, architecture, and software development life cycles in an engineering or systems context
Knowledge of enterprise-level systems (SAP or equivalent) and their interdependencies within complex technical ecosystems
Familiarity with hardware repair, diagnostics, service engineering, or manufacturing and quality engineering environments and associated technical workflows
Experience with global programs that incorporate regional and country-specific engineering and operational requirements
Experience with delivering project updates and presenting technical information to diverse, cross-functional teams, including engineers, business specialists, and executive leadership
Background in defining technical objectives and execution plans for cross-functional engineering and business teams
Delivery of projects that incorporate AI/ML, data intell…

工作职责

Plan and lead multiple complex technical projects, balancing scope, schedule, and budget constraints with engineering feasibility and long-term platform health.
Drive the technological design process, from requirements definition and user stories to solution architecture, vetting, and selection.
Lead geographically dispersed, cross-functional teams spanning engineering, operations, and third-party partners to ensure solutions are well-architected, integrated, and sustainable.
Leverage strong business understanding of service operations, including hardware, repair, diagnostics, service process, and customer journey contexts to translate and drive clear scope and objectives into technology development project lifecycles.
Partner with data scientists, solution architects, and various engineering teams (diagnostics, hardware repair, service quality, and others) to define technically grounded requirements and evaluate architectural options, including Artificial Intelligence and Machine Learning (AI/ML) and automation.
Manage project risk by identifying technical dependencies, integration risks, and testability concerns throughout the project lifecycle.
Facilitate capital planning for new projects and scope changes, including business justifications and strategic roadmaps.
Ensure engineering and business teams are prepared for system and process changes through design and system playback reviews, User Acceptance Testing (UAT) support, cutover deployment activities, and change management.