Business Operations Engineering Program Manager - PACE
Apple - Cupertino, United States of America
Posted May 5, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- 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
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- Learning budget
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- Verification
- Not verified last checked Jun 13, 2026
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 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
Business Operations Engineering Program Manager - PACE Cupertino, United States of America At Apple, the Product Analysis and Compliance Engineering (PACE) organization ensures that every product we ship meets the highest standards of regulatory /environmental compliance, product safety, and analytical rigor. We operate at the intersection of engineering, compliance, and data; delivering the insights, testing, and certification workflows that Apple's product programs depend on. Our Business Operations team is the connective tissue that keeps PACE operating effectively, driving planning, budgeting, tooling, and cross-functional coordination across a highly complex and fast-moving portfolio. PACE Business Operations is seeking an experienced Business Operations Program Manager to contribute across the full breadth of BizOps functions. This role partners closely with engineering, finance, supply chain, PACE and Operations leadership to ensure that resource planning, budget management, roadmap execution, and operational systems are running smoothly and scaling with the organization's needs. The individual in this role brings deep operational expertise and a strong command of Apple's product development processes. They are equally comfortable managing budgets and driving tooling strategy, coordinating factory planning and overseeing claims reporting. They thrive in ambiguity, connect dots across complex workstreams, and have a bias toward automation and data-driven decision-making. The ideal candidate will have a sound understanding of AI/ML and how we can embrace this technology to drive productivity, efficiencies and opportunities across the organization. They are a trusted partner to leadership, someone who can present with clarity to executives, synthesize ambiguous cross-functional inputs, and move the organization forward through process
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