Senior Software Engineering Manager, Agentic Infrastructure

Were a team at Apple building the next generation of Private Cloud Compute inference and agentic services. Our work sits at the intersection of cloud services machine learning software experiences and future Apple silicon. We deliver the server software that powers Apple Intelligence. We are seeking a deeply experienced software engineering manager to help drive our technology roadmap and software delivery.

In this role you will lead and grow a highly talented engineering organization responsible for designing and building agentic systems and the developer experiences around them. The work encompasses design of the core agentic architecture the integration of various cloud services and developer tooling. You will partner closely with cross-functional leaders across software experiences ML research hardware system software security privacy and SRE to define technical strategy and deliver production-grade systems running in the a senior leader you will not only guide complex technical architecture decisions but also shape the organizational culture drive engineering excellence and influence how AI-assisted workflows are adopted across the broader Apple ecosystem. You will be responsible for scaling successful prototypes into foundational production systems that the broader organization depends on. This position requires a self-motivated individual with strong technical depth exceptional people management skills and the ability to navigate ambiguity in a fast-paced startup-like environment.

Build mentor and manage an inclusive organization of high-performing time to fostering talent driving hiring and onboarding managing performance and prioritizing overall team health and growth the strategic vision and technical roadmap for agentic workflows and developer the execution of complex multi-year projects end-to-end balancing rapid iteration with long-term architectural closely with cross-functional product and cloud teams to enable delivery of seamless secure and delightful AI a culture of engineering excellence and build for scale and performance focusing on system reliability scalable cloud architecture observability throughput and latency cost efficiency and robust evaluation the adoption of generative AI tools and agentic workflows across the broader software organization to improve developer productivity and software problems before they occur proactively resolve cross-functional bottlenecks and present your teams work to executive leadership to advocate for resources and technical the security and privacy of user content ensuring the team consistently applies secure-by-design and privacy-by-design principles in all architecture and delivery.

10 years of engineering management experience with a proven track record of delivering complex large-scale engineering projects across multiple teams or technical foundation in software engineering distributed systems and cloud infrastructure with an ability to engage deeply with system design experience building and scaling developer tools ML infrastructure or AI systems from concept to communication and interpersonal skills with high emotional intelligence and the ability to influence across all levels from executive partners to individual ability to operate effectively in ambiguity and handle rapidly shifting priorities without losing trust or execution Masters or equivalent professional experience in Computer Science Computer Engineering or a related field.

Strong working proficiency and conceptual understanding of generative AI foundation models and agentic workflows with hands-on experience bringing AI systems to production at leading organizations through periods of significant growth or technical transformation including building and evolving team structures to match scaling analytical and data-driven mindset with a genuine interest in software evaluation and using metrics to drive product and architectural with Private Cloud Compute on-device/cloud ML inference pipelines or Apple silicon-adjacent with secure-by-design and privacy-by-design principles as applied to cloud-based AI services.