Software Engineering Manager, Siri AI Quality

Join the team redefining what a deeply personal and integrated assistant can be.

As part of the Siri 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 iOS, iPadOS, macOS, watchOS, and visionOS.

This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is centered around users and their needs.

Description

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.

Minimum Qualifications

BS or MS in Computer Science, Machine Learning, or a related technical field.

3+ years of engineering leadership or direct team management experience.

Experience in software quality automation, test engineering, or machine learning evaluation.

Demonstrated experience building, testing, and shipping consumer-facing software products at scale.

Proven track record of forming partnerships with cross-functional teams to solve complex technical problems.

Preferred Qualifications

Strong history of delivering innovation, specifically utilizing agentic AI tools and advanced automation to improve engineering efficiency.

Deep understanding of modern software lifecycles, test engineering best practices, and shift-left quality methodologies.

Domain experience with assistant-based products, natural language processing, or global customer bases.

Ability to execute broad strategies at scale while maintaining a strong grasp of technical details to guide the team.

Excellent communication skills with the ability to clearly present quality metrics and risk assessments to leadership.