
Engineering Program Manager, AIML, Data Insights & Engineering
Required skills
- AIML
- Data Insights
- Engineering Program Manager
- key performance indicators
- customer success metrics
- cross-functional programs
- system architecture
- product mentality
- negotiation
Nice to have
- data science
- trust
- dynamic work environment
- curiosity
- new technologies
Role summary
Apple is seeking an Engineering Program Manager (EPM) for its AIML team, focusing on Data Insights & Engineering. This role involves defining, instrumenting, tracking, and reporting key performance indicators for Apple Products. You will collaborate with Data Scientists and Data Engineers to measure feature success, derive key insights, and communicate findings to stakeholders, including executives, Marketing, and Engineering Leadership. The position requires at least 7 years of program management experience, a strong understanding of system architecture, testing, and release processes, and excellent leadership and communication skills. Prior experience in software development or data science is preferred.
Description
In this role, you will drive cross-functional programs focused on measuring success for different Apple products You will partner with engineering management and product teams to define customer success and key performance indicators, work with engineering teams to implement these metrics and collaborate with data science to report key insights to stakeholders including Marketing and Engineering Leadership. You should bring solid experience in data products and project management, strong communication and leadership skills, and a track record of driving and delivering multiple complex projects simultaneously. You should demonstrate high integrity, high energy, and feel comfortable in a dynamic and constantly changing environment. As an experienced project leader for various complex and at times highly ambiguous technical projects, you will need to build strong collaborative relationships within the organization as well as cross-functionally, and confidently and calmly manage any conflicts and challenges along the way. You will be responsible for successful outcomes and delivery, driving your projects with a keen eye for important details and communicating clearly on status and risks. If you relish challenge, are passionate about building and delivering phenomenal software products, and are excited by working with a great team in an exciting new technology space, then we want to hear from you - please apply!
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
Sample Apple interview questions
- 1
Architect a big data ingestion system focusing entirely on reliability and backpressure management during unpredictable traffic events.
system designmedium - 2
Break down the system design for a global digital learning environment including video hosting and user progress tracking.
system designmedium - 3
How do you architect a risk system that dynamically shifts its strictness based on the merchants tolerance for fraud?
system designmedium - 4
Break down the data pipeline required to serve live ad performance statistics to a client dashboard.
system designmedium - 5
Let us build the backend for a smart parking garage. How do you manage inventory and process payments in real time?
system designmedium
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