Engineering Program Manager, Siri Runtime Platform and Interaction

Socket.dev

Cupertino (CA)

On-site

USD 140,000 - 190,000

Full time

13 days ago

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Job summary

Socket.dev is seeking an Engineering Program Manager to lead cross-functional programs focused on Siri’s runtime platform and the next evolution of Siri interaction across Apple ecosystems. You will partner with engineering teams to drive projects from concept through delivery, collaborating with software and ML engineers and scientists to advance Siri’s capabilities with privacy by design.

Qualified candidates will have 4+ years in software/ML project management, strong communication, and

Qualifications

  • 4+ years of project management experience in software development or machine learning.
  • Knowledge of software engineering standard methodologies and related dependencies.
  • Outstanding communication and presentation skills to engineers, managers, and executives.
  • Experience driving and delivering critical project features that involve integration with multiple teams.
  • BS in Computer Science or related field, preferred.

Responsibilities

  • Drive cross-functional programs and feature areas in Siri across Apple products.
  • Partner with engineering teams to lead projects through the software development lifecycle from concept to delivery.
  • Collaborate with software engineers, ML engineers, and scientists across technical areas spanning Siri's capabilities.
  • Build strong collaborative relationships within the organization and cross-functionally, managing conflicts and challenges.
  • Drive execution with attention to detail and communicate status and risks clearly.

Skills

Project management
Software engineering methodologies
Communication & presentation
Cross-team delivery
BS in CS or related

Education

BS in Computer Science or related

Job description

The Siri team is looking for an Engineering Program Manager, with a focus on Siri's runtime platform and the next revolution of Siri interaction across the Apple ecosystem.As part of our organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across Apple platforms.

Description

In this role, you will drive cross-functional programs and feature areas in Siri across Apple products. You will partner with engineering teams to lead projects through the software development lifecycle from concept to delivery. You'll collaborate with software engineers, machine learning engineers, and scientists across technical areas spanning the full range of Siri's capabilities. You should bring experience in software development, machine learning, and project management, strong communication and leadership skills, and a track record of driving and delivering complex projects. You should demonstrate high integrity and feel comfortable in a dynamic 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 driving execution, with a keen eye for important details, and communicating status and risks clearly.

Minimum Qualifications
  • 4+ years of project management experience in software development or machine learning, or related industry.
  • Knowledge of software engineering standard methodologies and related dependencies.
  • Outstanding communication and presentation skills to engineers, managers, and executives.
  • Experience driving and delivering critical project features that involve integration with multiple different teams.
  • BS in Computer Science or related field, preferred.
Preferred Qualifications
  • Familiarity or prior experience in artificial intelligence and machine learning.
  • Prior hands-on experience in software development or model development.
  • Curiosity and passion for new technologies and proven ability to quickly understand technical concepts.
  • Ability to thrive in a fast-paced, dynamic environment.
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