Americas BPR-Engineering Project Manager
AI summary of the role
This role drives end-to-end delivery of complex, cross-functional AI/ML and supply chain programs at Apple, owning technical roadmaps and execution across engineering, product, and business teams.
What you’ll do
- Drive end-to-end delivery of complex, cross-functional AI/ML and supply chain programs from concept through launch and post-launch operational excellence.
- Own technical solution roadmaps, milestones, and execution across engineering, product, and business teams.
- Dive deep into technical designs, data, system architecture, and cloud-based solutions alongside engineers and data scientists.
- Align diverse stakeholders through clear communication, data-driven decision-making, and structured executive narratives.
What you’ll bring
- Masters degree in CS, Engineering, Analytics, or equivalent technical field with 8+ years of technical/engineering program management experience OR Bachelor's with 10+ years.
- Previous experience with software engineering, GenAI, Machine Learning, AI, and supply chain/operations domains.
- Proficiency with data acquisition tools: advanced SQL, Python, data visualization, and analytics platforms.
- Familiarity with agentic AI frameworks, tool-use patterns (e.g., MCP servers, function calling, skills), and evaluating autonomous agents.
Technologies
AI/ML · GenAI · MLOps · agentic AI · MCP servers · function calling · LLMs · prompt engineering · SQL · Python · CI/CD · cloud
About Apple
Designs and sells iPhone, Mac, iPad, Watch, and Vision Pro plus a $100B+ Services layer (App Store, iCloud, Apple Pay, Music, TV+) atop a 2.5B device installed base.
Public
Source and classification
Deployment strategy · Evidence for this classification:
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. Description An EPM in this role drives end-to-end delivery of complex, cross-functional AI/ML and supply chain programs by owning technical solution
More from the job description
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. Description 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, dat [... source excerpt omitted ...] sion-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 field with 10+ years experience Previous experience with software engineering, GenAI, Machine Learning, AI, and supply chain/operations domains Dive deep into data, technical designs, and root-cause analysis to resolve complex challenges with high analytica [... source excerpt omitted ...] ts on GenAI-powered solutions Understanding of MLOps best practices including model deployment pipelines, CI/CD for ML workflows, model versioning, and drift monitoring to support production AI/ML systems Experience managing feature roadmaps across interconnected systems, with the ability to stitch together supply chain concepts (e.g., fulfillment, logistics, demand planning) into cohesive program strategies Familiarity with software engineering best practices including testing frameworks, code quality standards, secure development practices, system architecture, strong understanding of APIs, data architecture, and system integration enabling effective partnership with software eng
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