AI Engineering Program Manager, WW Sales Enablement and Transformation

AI Engineering Program Manager, WW Sales Enablement and Transformation Cupertino, California, United States Sales and Business Development Imagine what you could do here. The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Apple’s Sales organization generates the revenue needed to fuel our ongoing development of products and services. Our World Wide Sales Business Transformation group focuses on implementing strategies, programs, tools, and processes that enable the business to drive sales, improve customer experience, and innovate the way we lead and support one of the largest channel operations in the world. As part of our World Wide Sales Business Transformation group, you will play a critical role in the execution and delivery of AI initiatives that enable the business to drive sales, improve customer experience, and innovate one of the largest channel operations in the world. Description Drive the end-to-end execution and delivery of key AI and ML platforms supporting the Sales teams, including but not limited to Security, CSO, Change, and PMO teams. Partner closely with Product Management to translate product strategy and roadmaps into detailed engineering execution plans, sprint schedules, and deliverable milestones. Manage complex cross-functional dependencies across Software Engineering, Data Science, UX/UI, Enterprise Architecture, and Information Security teams. Proactively identify, track, and mitigate execution risks, technical blockers, and resource constraints before they impact project timelines. Facilitate engineering planning, daily stand-ups, technical design reviews, and sprint retrospectives to ensure team alignment and momentum. Track the integration of technical components, such as LLM APIs, data pipelines, and microservices, ensuring all technical moving parts align for seamless deployment. Serve as the central point of contact for project status, distilling complex engineering progress into clear, concise executive updates for business partners and leadership. Establish and continuously improve engineering delivery processes, fostering a culture of efficiency and collaboration within a fast‑paced, dual‑speed organization. Possess the technical depth to understand AI Proof of Concepts (POCs) written in Python, enabling you to engage deeply in technical design discussions and validate scalability with the engineering team. Drive the program delivery of MLOps best practices, ensuring engineering teams stay on track to implement version control, CI/CD pipelines, automated testing, and production monitoring for AI systems. Minimum Qualifications Typically requires 8+ years of experience in Engineering Program Management, Technical Project Management, or a related role within software engineering or data organizations. Proven track record of managing complex, distributed enterprise software or data‑driven products. Strong technical fluency and the ability to understand architectural diagrams, API integrations, and software development life cycles (SDLC). Technical proficiency with Python, including the ability to read code, evaluate technical Proof of Concepts (POCs), or run basic scripts to support data‑driven program management and decision making. Familiarity with artificial intelligence, machine learning concepts, and LLM ecosystems (GenAI, RAG, prompt engineering) to effectively communicate with highly technical teams. Exceptional organizational skills and expertise in agile methodologies and project management tools (e.g., Jira, Confluence, Wrike, or similar). Outstanding communication and presentation skills, with the ability to translate technical jargon into business impact for executive stakeholders. Ability to lead through influence, building strong relationships across matrixed technical and non‑technical teams. Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience. Preferred Qualifications Background in sales analytics, go-to-market strategies, or sales operations. Direct experience managing the deployment of Machine Learning models or AI applications into production environments. Understanding of data privacy, enterprise security reviews, and compliance requirements related to AI and data governance. Familiarity with cloud infrastructure, microservices, and CI/CD deployment processes to better anticipate engineering timelines. PMP, CSM, or related program management certifications. Master's degree in Engineering, Computer Science, or a related technical field preferred. 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 $175,500 and $263,800, 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. At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple’s workplace. Learn about reasonable accommodations for job applicants. Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr Apple Inc.