Senior AI Enablement Engineering Manager, Apps Team

The AI Enablement team will be at the forefront of empowering the Apps organization to build scale and ship more quickly and confidently through AI-powered developer tooling. As the leader you will drive this high-impact team responsible for evangelism consultation and working directly with Application Software development teams to optimize and evolve how we build applications leveraging AI-powered tooling to accelerate workflows reduce friction and elevate engineering standards across the organization. This role sits at the intersection of engineering excellence build integration infrastructure product thinking and organizational influence.

As the leader of the AI Enablement team you are responsible for setting direction prioritizing and planning and holding the bar for what optimizations get built and why. Day-to-day youll partner with cross-functional stakeholders to identify development/build and integration bottlenecks and determine how to use AI solutions to optimize and transition into scalable platform solutions while coaching your team to operate with product discipline and engineering rigor. Youll serve as an internal evangelist for AI-powered developer tooling shaping culture and capability across engineering organizations bringing a relentless growth mindset thriving in ambiguity rather than needing certainty and staying restless for whats next rather than settling into the status quo.

Lead and grow a team spanning developer consulting and platform functions balancing technical depth with people developmentnDrive a product-minded culture on the team consistently asking why are we building this before how do we build itnOwn the teams roadmap from ideation through delivery ensuring alignment with broader engineering and AI optimizationnPartner with senior engineering and operations stakeholders to identify high-leverage developer pain points and prioritize platform investments accordinglynPartner with cross-Apple leadership teams to maintain visibility into their roadmap and technical direction channeling relevant learnings back to Apps to prevent duplicative investmentnEvangelize AI developer tooling capabilities internally building awareness and adoption across engineering teamsnEstablish and communicate a clear vision for developer experience and platform reliability that earns organizational trustnRepresent the team in cross-functional forums presenting strategies trade-offs and outcomes with clarity and convictionnMentor and develop engineers across consulting and platform support disciplines fostering a collaborative high-accountability team environment

Demonstrated AI proficiency with hands-on understanding of how AI tools and platforms fit into modern Application software development workflows as well as having led the implementation of AI into software development processes. Using AI to build experience leading a platform engineering developer experience or software tooling organization as a formal engineering manager or technical leadnAdditionally minimum 5 years of experience as a SW engineernTrack record of applying product-minded thinking to infrastructure or developer tooling making build-vs-buy decisions grounded in developer impact not just technical possibilitynStrong background in engineering-aware program management with the ability to understand and navigate the full idea-to-shipped-code lifecyclenExceptional communication and presentation skills with experience influencing senior technical and non-technical stakeholdersnDemonstrated ability to evangelize new technologies or platforms internally driving adoption and shifting engineering culture

Experience specifically in a Platform Engineering Lead or Developer Experience (DevEx) Lead role with direct responsibility for internal tooling ecosystemsnFamiliarity with SRE principles on-call culture and reliability engineering as applied to internal developer platformsnSkilled in translating developer productivity metrics and qualitative feedback into compelling strategic narratives for leadershipnDeep expertise in AI/ML developer tooling LLM integration patterns or MLOps infrastructure at scalenHands-on experience with developer platform technologies such as CI/CD orchestration internal IDPs (Internal Developer Platforms) or AI-assisted code tools