Software Engineering Manager, Siri AI Quality

Join the team redefining what a deeply personal and integrated assistant can be. nnAs part of the Siri organization you will help shape one of the worlds 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 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.

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 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.

Lead a software quality engineering team to evaluate how users initiate and interact with Siri. across all platforms (iPhone iPad Mac CarPlay Watch).nDefine and execute the end-to-end qualification strategy for Siris attention and invocation experiences as well as the functional validation of Siris on-device deeply with software machine learning and speech/audio engineering teams to create a quality strategy that integrates early in the development lifecycle (shift-left).nDrive team efficiency by adopting agentic AI systems and advanced coding tools to accelerate test generation automate triage and improve and scale robust test automation frameworks evaluation pipelines and client integrationnframeworks to validate complex AI consistently on team progress quality metrics and release readiness to senior leadership ensuring a high-quality user experience prior to ship.

BS or MS in Computer Science Machine Learning or a related technical field.n3 years of engineering leadership or direct team management in software quality automation test engineering or machine learning experience building testing and shipping consumer-facing software products at 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 understanding of modern software lifecycles test engineering best practices and shift-left quality experience with assistant-based products natural language processing or global customer to execute broad strategies at scale while maintaining a strong grasp of technical details to guide the communication skills with the ability to clearly present quality metrics and risk assessments to leadership.