Senior AI Engineering Manager - Channel Sales AIML Platform

Senior AI Engineering Manager - Channel Sales AIML Platform

Cupertino, California, United States Machine Learning and AI

Imagine the possibilities here. At Apple, great ideas swiftly transform into exceptional products, services, and customer experiences. We firmly believe that with passion and dedication, you can achieve remarkable things! Every new product, service, or feature we create is the result of collaborative efforts, where each person strengthens the other’s ideas. This synergy thrives here because we all strive towards a shared goal: crafting the best customer experiences.

We are seeking a Senior Manager to lead the Applied AI - AVA Intelligence team within Channel Sales. This role owns how artificial intelligence is reasoned, contextualized, and applied across all commerce domains (Store

AI, Shopping

AI, Learning

AI, Content

GenAI, Decision Intelligence) — ensuring AI decisions, content, and domain intelligence are coherent, scalable, and trustworthy across products and regions. This position is responsible for the intelligence layer, the brain behind all of our next‑generation sales product. The role operates at a system level and partners closely with Platform & Foundation, Human Interface Engineering, and Product teams to bring intelligence safely and consistently into customer‑facing experiences.

As the AVA Intelligence leader, you will be accountable for how intelligence is designed, integrated, and delivered across multiple surfaces, while partnering closely with Platform, Human Interface, and Product teams. This role operates at a system level and is critical to scaling AI across 38+ locales with Apple-level quality and trust.

• Lead a multidisciplinary applied intelligence organization spanning ML, data science, and domain intelligence.
• Develop senior technical leaders and managers capable of operating at system scale.
• Set quality bars for applied intelligence, including correctness, safety, and global consistency.
• Foster a culture of accountability, rigor, and thoughtful risk‑taking, collaboration, innovation, and continuous learning to break glass ceilings in applied AI development.
• Streamline processes, onboard new tools, and plan resources effectively to enhance team performance.
• Own the Applied AI intelligence layer of Channel Sales AIML Platform, defining how AI reasoning and domain intelligence are applied across Store, Shopping, Learning and Decision Intelligence.
• Translate AI strategy into reusable intelligence capabilities that scale across products and 38+ locales.
• Ensure applied intelligence remains coherent and auditable, avoiding product‑specific forks or duplicated logic.
• Serve as a strategic thought partner to AI Product Engineering leadership, shaping the platform’s vision, priorities, and long‑term roadmap.
• Define and lead initiatives addressing the organization’s longer‑term needs, such as workforce planning and organizational transformation.
• Represent AI Product Engineering leadership when needed, using judgment and discretion to unblock decisions and represent the organization in cross‑functional and technical forums.
• Build relationships and collaboration opportunities within Channel Sales and with other orgs i.e AIML, SWE etc.

• 12+ years of experience in applied machine learning, decision systems, or large‑scale AI systems.
• 5+ years leading teams and managing managers and extended direct reports.
• Proven leadership of teams building AI or data‑driven systems used across multiple products.
• Strong grounding in ML, optimization, and applied intelligence system design.
• Experience operating AI systems across multiple regions or languages.
• Demonstrated ability to lead through ambiguity and system‑level tradeoffs.
• Successful track record of working closely with design and engineering teams during the full GenAI/LLM product lifecycle, including research, planning, implementation and launch.
• Experience executing operational efficiency, business strategy, decision making and transforming organizations.
• Extraordinary verbal and written communication skills.
• Ability to filter and distill relevant information for the right audience.
• Strong…