Americas BPR-Engineering Project Manager
Apple - Austin, United States of America
Posted Mar 25, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified last checked Jun 13, 2026
- Salary
- Not verified
- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Americas BPR-Engineering Project Manager Austin, United States of America Apple is where extraordinary people do their best work. If making a real impact excites you, a career here might be your dream - just be prepared to dream big. Apple's growing supply chain complexity demands innovative approaches to automation and operational excellence. You'll join the Business Process Reengineering team to scale Apple Operations in the supply chain space. You're passionate about understanding the big picture while diving into technical details, adapting your communication style to bridge business perspectives, engineering pipelines, and supply chain optimization. You thrive exercising interpersonal, organizational, technical, and analytical skills in a fast-paced environment. If this sounds like you, we'd love to talk. An EPM in this role drives end-to-end delivery of complex, cross-functional AI/ML and supply chain programs by owning technical solution roadmaps, milestones, and execution across engineering, product, and business teams to ensure on-time, high-quality launches. They dive deep into technical designs, data, and system architecture, infrastructure and Cloud based solutions alongside engineers and data scientists, leveraging their knowledge of software engineering, GenAI, MLOps, and agentic AI to unblock issues, manage risks, and make informed prioritization trade-offs. They align diverse stakeholders through clear communication, data-driven decision-making, and structured executive narratives continuously improving processes to increase velocity and translate technical complexity into measurable business impact. Minimum Qualifications: Masters degree in Computer Science, Engineering, Analytics, or equivalent technical field and 8+ years of technical/engineering program management experience OR Bachelor's in Computer Science, Engineering, Analytics, or equivalent technical
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