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. Description 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 (StoreAI, ShoppingAI, LearningAI, ContentGenAI, 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. Responsibilities 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. Minimum Qualifications 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 experience leading cross‑functional initiatives with a clear impact on the direction of products. Strong organizational skills, able to handle ambiguity with experience in thriving in a startup environment within a large organization. Demonstrates attention to detail and enjoys both hands‑on work and high‑level strategic thinking. Preferred Qualifications Experience with personalization, recommendation systems, or commerce intelligence. Familiarity with generative AI systems used for content or knowledge creation. Experience with multilingual or global‑scale AI deployments. Track record of developing senior technical leaders. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $262,500 and $393,800, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr Apple Inc.