Software Engineering Manager, Siri AI Quality

Would you like to play a part in shipping groundbreaking technology for large-scale systems, natural language, and artificial intelligence? Join the Siri AI Quality team at Apple! You will work with the people who craft the intelligent assistant that helps millions get things done-just by asking. We interact with various engineering teams to identify issues, drive the quality of Siri features, and build frameworks that support evaluation and qualification for some of the most advanced AI systems in the industry.

As a Software Engineering Manager for Siri AI Quality, you will lead a team dedicated to validating the foundational layers of how users initiate and interact with Siri across the entire Apple ecosystem- including iPhone, iPad, Mac, CarPlay, and Watch. In this fast-paced and highly visible role, you will partner closely with software, machine learning, and audio engineering teams to define the quality strategy for critical first interactions, invocation experiences, and on device models. You will empower your team to adopt cutting-edge agentic AI systems and coding tools to accelerate test generation, automate issue triage, and shift testing left in the development lifecycle. By championing a culture of early testing and continuous evaluation, you will directly shape the intelligence, responsiveness, and end-to-end quality of a product used by millions worldwide.

BS or MS in Computer Science, Machine Learning, or a related technical field.\n3+ years of engineering leadership or direct team management experience.\nExperience in software quality automation, test engineering, or machine learning evaluation.\nDemonstrated experience building, testing, and shipping consumer-facing software products at scale.\nProven track record of forming partnerships with cross-functional teams to solve complex technical problems.

Strong history of delivering innovation, specifically utilizing agentic AI tools and advanced automation to improve engineering efficiency.\nDeep understanding of modern software lifecycles, test engineering best practices, and shift-left quality methodologies.\nDomain experience with assistant-based products, natural language processing, or global customer bases.\nAbility to execute broad strategies at scale while maintaining a strong grasp of technical details to guide the team.\nExcellent communication skills with the ability to clearly present quality metrics and risk assessments to leadership.