Apple
AppleCare Technologies BPR Project Manager, Service Supply Chain
$121K–$249K
Austin, Texas +1 · Manager · Full-time · Posted Sep 24, 2026
- Location
- Austin, Texas
Sunnyvale, California - Experience
- 4+ years required; 8+ years preferred.
- Education
- Bachelor's degree in Electrical Engineering, Mechanical Engineering, Systems Engineering, Industrial Engineering, Computer Science, or a closely related technical discipline; master's degree preferred.
About the job
Leads complex, cross-functional AppleCare systems projects from requirements and solution design through implementation, testing, and organizational change readiness.
What you'll do
- Plan and lead multiple technical projects, balancing scope, schedule, budget, engineering feasibility, and platform health.
- Drive requirements definition and solution architecture, and coordinate geographically dispersed engineering, operations, and third-party teams.
- Manage technical risks, capital planning, testing, deployment, and change readiness; evaluate AI/ML and automation options with engineering partners.
What they ask for
- Bachelor's degree in a listed or closely related technical discipline.
- 4+ years of engineering project management or technical program management experience delivering large-scale cross-functional systems or engineering programs.
- Experience partnering with engineering and architecture teams on technical solutions, and supporting system configuration, architecture, and software development life cycles.
- Knowledge of enterprise-level systems (SAP or equivalent) and their interdependencies.
Nice to have
- Master's degree in a listed or closely related technical discipline.
- 8+ years of engineering project management or technical program management experience, including enterprise-scale programs spanning hardware, software, and service systems.
Pay
$120,900 and $249,000 USD base pay
Tools
SAP, AI/ML, User Acceptance Testing (UAT), warehouse management systems (WMS), transportation management systems (TMS), event management (EM)
AI focus
Partners with data scientists and engineering teams to define requirements and assess AI/ML and automation as potential solution components; delivery experience incorporating AI/ML, data intelligence, or automation is required.
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