About The Position

At Apple, we strive to make great products that empower people and improve their lives. We believe Generative AI has the potential to unlock new experiences that were never possible before, and are looking for a talented SW Manager to realize that mission by expanding the capabilities of Apple products and platforms. We work in a fast-paced, startup-like environment where you will be part of every stage of development. You'll often work cross-functionally with other software teams, user interface designers, product marketing, machine learning, and privacy engineers from concept phase to deployment. We are seeking a strong leader who can partner with senior leadership and other teams to drive features from product definition to release. The successful candidate will build and lead a highly talented, diverse engineering team of experienced and thoughtful engineers to enable industry leading customer experiences. As manager within Special Projects, you will be part of a team creating new and innovative experiences for human interaction with generative AI. Your team will be directly responsible for developing cutting-edge, production-grade experiences across a large variety of iOS apps and frameworks. This position requires a self-motivated individual with strong technical, communication, people management, and project management skills to handle responsibilities including:

Requirements

  • 2+ years of engineering management experience with a proven track record of building inclusive, high-performing teams through thoughtful hiring, mentoring, and talent retention.
  • Passion for and prior experience proactively driving feature definition, roadmap planning, and execution through shipping of outstanding customer focused user interfaces, starting from first principles and at the final stages obsessing over the details.
  • Exceptional communication and interpersonal skills, with high emotional intelligence and the ability to influence across all levels — from executive partners to individual contributors — and build strong cross-functional relationships.
  • Excellent organization, prioritization, and strategic planning skills.
  • Ability to manage resources effectively, represent the team and remove hurdles to enable each team member to operate at the highest level of efficiency and productivity.
  • Strong track record to navigate through ambiguous and fast-paced environments working with diverse teams on complex cross-functional projects.
  • Technical experience with native iOS development, a strong grasp of computer science fundamentals, development methodologies, and loves learning new technologies.
  • Strong analytical and data-driven mindset, with the ability to inform decisions through data.
  • Experience influencing engineering practices, processes, or standards at an organizational level.
  • Strong commitment to embracing and leveraging AI tools in day-to-day tasks and across the product development lifecycle, ensuring AI-assisted work produces high quality outcomes.
  • Bachelor’s degree or equivalent professional experience in computer science or a related field.

Nice To Haves

  • Familiarity with AI principles and Foundation Models.
  • Deep knowledge about Apple OS-level SDKs.

Responsibilities

  • Developing cutting-edge, production-grade experiences across a large variety of iOS apps and frameworks.
  • Building and leading a highly talented, diverse engineering team of experienced and thoughtful engineers.
  • Partnering with senior leadership and other teams to drive features from product definition to release.
  • Working cross-functionally with other software teams, user interface designers, product marketing, machine learning, and privacy engineers from concept phase to deployment.
  • Managing resources effectively, representing the team, and removing hurdles to enable each team member to operate at the highest level of efficiency and productivity.
  • Influencing engineering practices, processes, or standards at an organizational level.
  • Embracing and leveraging AI tools in day-to-day tasks and across the product development lifecycle, ensuring AI-assisted work produces high quality outcomes.
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