Engineering Program Manager, AIML, Data Insights & Engineering

Job description

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because each of us shares a belief that we can create something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. The AIML team is looking for an engineering program manager (EPM) to work with Data Scientists and Data Engineers to define, instrument, track and report key performance indicators for Apple Products. In this role, you will define how to measure new features and report key insights on those products to key stakeholders and executives. Minimum Qualifications: BS/MS in Computer Science, Engineering or related field Program Experience: At least 7 years of experience in project or program management, leading cross-functional software engineering or data science teams in large organizations to deliver consumer or enterprise technology products. Candidates should be comfortable structuring new programs and leading multiple work streams independently. Technical Proficiency: Solid understanding of system architecture, design trade-offs with thorough understanding of testing, build and release processes for complex software Strong Leadership: Proven ability to lead, influence, and resolve conflicts within large, complex teams. Must demonstrate analytical thinking, problem-solving skills, and a product mentality Effective Communication: Excellent written and verbal communication skills, including presentation, negotiation, and the ability to communicate abstract ideas clearly Preferred Qualifications: Prior experience in hands-on software development or data science Excellent collaboration skills, working together with different teams, and fostering trust Ability to thrive in a fast-paced, dynamic work environment Curiosity and passion for new technologies, and proven ability to quickly understand technical concepts