Head of Product, Global AI Learning Platform

Apple•Cupertino, CA

11d

About The Position

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. We are seeking a visionary and results-oriented Head of Product, Global AI Learning Platform to lead a monumental transformation within Apple's Worldwide Channel Strategy & Operations organization. This high-visibility, high-stakes role is at the forefront of replacing a critical legacy enterprise Learning Management System (LMS) with a cutting-edge, AI-powered solution. This next-generation capability is designed to revolutionize sales training for Apple's field staff (B2C) and global partner network (B2B), directly impacting sales performance, knowledge retention, and the customer experience worldwide. You will own the end-to-end product strategy, roadmap, and execution for this multi-year, global initiative, while building and leading a high-performing product and program team in a matrixed environment. This is an unparalleled opportunity to leverage your passion for technology and innovation to deliver measurable business outcomes at Apple's scale. If you thrive on solving complex enterprise challenges, are driven by the opportunity to shape the future of sales learning, and are ready to make a significant impact on Apple's global success, we invite you to lead this strategic imperative.

Requirements

10+ years of progressive product management experience, with at least 5 years in a senior leadership role (e.g., Head of Product, Director of Product, or equivalent) leading enterprise SaaS product initiatives.
Proven track record of successfully defining, launching, and scaling complex, global enterprise products that deliver significant business impact.
Demonstrated experience leading the replacement or significant modernization of a legacy enterprise system (e.g., LMS, HRIS, CRM) with a modern, scalable solution.
Hands-on experience shipping AI/ML-powered features (e.g., personalization, recommendation engines, generative AI, NLP) within a product context.
Exceptional strategic thinking, analytical, and problem-solving skills, with the ability to translate ambiguous challenges into clear product strategies and executable roadmaps.
Proven ability to build, lead, and motivate diverse, high-performing product and program teams in a matrixed, global environment.
Outstanding written, verbal, and presentation communication skills, with the ability to engage, influence, and build credibility with executive-level stakeholders and external partners.
Bachelor's degree in Computer Science, Engineering, Business, or a related technical field.

Nice To Haves

MBA from a top-tier program combined with a technical or analytical undergraduate degree (e.g., CS, Engineering, Data Science, Economics, Math).
Master’s degree in AI/ML, Data Science, Educational Technology, or Human-Computer Interaction (HCI).
Deep domain expertise in learning platforms, EdTech, sales enablement, or workforce training solutions.
Experience managing products with dual-audience ecosystems (e.g., internal employees and external partners/developers).
Prior experience working with external/offshore engineering teams or vendor partners on large-scale product development.
Demonstrated ability to thrive in a fast-paced, high-growth, and ambiguous environment, continuously simplifying and focusing initiatives.
A strong passion for Apple products, technology, operations, and delivering an extraordinary customer experience.
Exceptional candidates with significant enterprise SaaS product leadership experience (especially in AI features and legacy modernization) who can demonstrate a proven ability to lead complex product organizations and deliver measurable business impact will be considered in lieu of specific degrees.

Responsibilities

Define & Champion Product Vision: Develop and continuously evolve a compelling product vision, multi-year strategy, and roadmap for the new AI-powered learning solution, strategically balancing innovative AI capabilities with safe, phased legacy system replacement.
Drive Strategic Prioritization: Own critical prioritization decisions across diverse global audiences (B2C retail staff, B2B enterprise & education partners), ensuring alignment with Apple's strategic business objectives and maximizing impact.
Lead Learning Innovation & Integration: Champion the integration of cutting-edge AI/ML capabilities (e.g., personalization, recommendation engines, generative content, NLP/chatbots) to create highly engaging, adaptive, and effective learning experiences.
Oversee Execution Excellence: Lead disciplined product discovery, definition, and delivery processes within an agile framework, ensuring high-quality requirements, clear epics, and seamless collaboration with internal and external engineering teams.
Manage Complex Migrations: Oversee the intricate migration of legacy content, learner data, and configurations, ensuring data integrity, compliance, and zero disruption during global rollouts and cutovers.
Build & Empower High-Performing Teams: Recruit, mentor, and inspire a high-performing product and program team, fostering a culture of innovation, accountability, continuous improvement, and customer-centricity in a highly matrixed, global environment.
Strategic Stakeholder Engagement: Serve as the primary product voice, building trust and strong relationships with executive leadership, sales organizations, legal/compliance, geo teams, and external partners to ensure alignment and drive adoption. Closely collaborate with the AIML Technology Development and Innovation team and Sales Engineering.
Risk Management & Mitigation: Proactively identify and manage program-level risks (e.g., migration complexity, compliance, partner adoption, AI ethics), developing robust mitigation strategies and clear escalation paths.
Measure & Optimize Business Impact: Partner with Sales Finance, Advanced Analytics, and regional teams to establish, analyze, and communicate program-level OKRs and KPIs, directly linked to measurable sales enablement outcomes (e.g., training completion, engagement, knowledge retention, post-training sales performance uplift, ROI), influencing strategic investment decisions.
Financial Stewardship & Process Optimization: Lead forecasting, budgeting, and financial analysis for the platform, making data-driven recommendations for resource allocation and program optimization. Design and optimize global business processes to maximize system adoption and efficiency across Apple's channel ecosystem.