Engineering Program Manager, AIML, Data Insights & Engineering

Apple Inc.
Cupertino, CA, United States
14 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours

Tech stack

Apple Products Release Management Software Engineering Systems Architecture Information Technology Data Analytics Artificial Intelligence Markup Language (AIML)

Job 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!

Requirements

  • 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, * 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

About the company

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.

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