About The Position

Apple is seeking a deeply experienced software engineering manager to help drive the technology roadmap and software delivery for its next generation of Private Cloud Compute inference and agentic services. The team builds server software that powers Apple Intelligence, working at the intersection of cloud services, machine learning, software experiences, and future Apple silicon. The role leads and grows an engineering organization responsible for designing and building agentic systems and the developer experiences around them. This includes core agentic architecture, integration with cloud services, and developer tooling. The manager partners with leaders across software experiences, ML research, hardware, system software, security, privacy, and SRE to define technical strategy and deliver production-grade cloud systems. As a senior leader, the manager guides complex technical architecture decisions, shapes organizational culture, drives engineering excellence, and influences adoption of AI-assisted workflows across Apple. The role also scales successful prototypes into foundational production systems used across the organization. It calls for strong technical depth, exceptional people-management skills, and the ability to navigate ambiguity in a fast-paced, startup-like environment.

Requirements

  • 10+ years of engineering management experience.
  • Proven track record delivering complex, large-scale engineering projects across multiple teams or organizations.
  • Solid technical foundation in software engineering, distributed systems, and cloud infrastructure, with the ability to engage deeply with system-design trade-offs.
  • Demonstrated experience building and scaling developer tools, ML infrastructure, or AI systems from concept to production.
  • Exceptional communication and interpersonal skills, high emotional intelligence, and the ability to influence from executive partners to individual contributors.
  • Ability to operate effectively amid ambiguity and rapidly shifting priorities while maintaining trust and execution discipline.
  • Bachelor's degree, Master's degree, or equivalent professional experience in Computer Science, Computer Engineering, or a related field.

Nice To Haves

  • Strong working proficiency and conceptual understanding of generative AI, foundation models, and agentic workflows, with hands-on experience bringing AI systems to production at scale.
  • Experience leading organizations through significant growth or technical transformation, including evolving team structures to meet scaling demands.
  • Strong analytical and data-driven mindset, with interest in software evaluation and using metrics to guide product and architectural decisions.
  • Experience with Private Cloud Compute, on-device/cloud ML inference pipelines, or Apple silicon-adjacent infrastructure.
  • Familiarity with secure-by-design and privacy-by-design principles for cloud-based AI services.

Responsibilities

  • Lead and grow an engineering organization building agentic systems and related developer experiences.
  • Oversee design of core agentic architecture, cloud-service integrations, and developer tooling.
  • Partner with cross-functional leaders in software experiences, ML research, hardware, system software, security, privacy, and SRE to define technical strategy.
  • Deliver production-grade systems running in the cloud.
  • Guide complex technical architecture decisions.
  • Shape organizational culture and drive engineering excellence.
  • Influence adoption of AI-assisted workflows across the broader Apple ecosystem.
  • Scale successful prototypes into foundational production systems.
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