Americas BPR-Engineering Project Manager

Apple Inc

Quick summary

Work type
On-site
Location
Austin, TX
Posted
56 days ago

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How this pay compares to similar roles

Similar $188k
$136k most similar roles pay here $235k

This listing doesn't post a salary. Most similar roles pay $150,000–$225,750.

Based on 239 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · Americas BPR-Engineering Project Manager

As an Engineering Program Manager (EPM) on Apple’s Business Process Reengineering team, you will drive the end-to-end delivery of complex AI/ML and supply chain programs by managing technical roadmaps and execution across engineering, product, and business teams. Your day-to-day involves deep dives into data, technical designs, and system architecture to resolve challenges with analytical rigor, while also aligning diverse stakeholders through clear communication and data-driven decision-making. The role requires proficiency in software engineering, GenAI, MLOps, Python, SQL, and data visualization tools, as well as familiarity with agentic AI frameworks and large language models. You will work on scaling Apple Operations within the supply chain space, addressing intricate technical issues and ensuring high-quality launches while fostering a culture of continuous improvement and innovation.

What you'll do

  • Drive end-to-end delivery of complex AI/ML and supply chain programs.
  • Own technical solution roadmaps, milestones, and execution across diverse teams.
  • Dive deep into data, designs, and root cause analysis to resolve challenges.
  • Manage feature roadmaps integrating supply chain concepts into cohesive strategies.
  • Align stakeholders through clear communication and structured executive narratives.

What we're looking for

  • Master’s degree in Computer Science, Engineering, Analytics or equivalent technical field with 8+ years of experience OR Bachelor’s degree with 10+ years.
  • Extensive experience in software engineering, GenAI, Machine Learning, AI, and supply chain/operations domains.
  • Proficiency in data acquisition tools, advanced SQL, Python, data visualization, and analytics platforms.
  • Knowledge of agentic AI frameworks, LLMs, prompt engineering techniques for effective collaboration with engineers and data scientists.
  • Understanding of MLOps best practices including model deployment pipelines, CI/CD for ML workflows, versioning, and drift monitoring.

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