Worldwide Channel Sales & Operations - AIML Product, Business Development Leader, Conversational Commerce Cupertino,California,United States Sales and Business Development The WW Channel Strategy & Operations (CSO) focus on developing and deploying worldwide sales programs to deliver best customer experience in the Channel, and drive Apple Channel sales. With deep functional expertise in digital, physical and people enablement spaces, WW CSO closely collaborate with many cross-functional teams at both WW and regional levels. We are looking for an outstanding AI product manager to create, design, and develop AI conversational commerce solutions base on business needs. You will be responsible for driving the business use cases and strategy for AI-powered capabilities at scale, transforming the way we sell across our channel sales platforms. You will need to have good business acumen to create and deliver innovative AI/ML solutions that enhance the customer journey to drive sales growth. **Description** 1. AI/ML Product Strategy & Vision: - Define and drive the AI/ML product vision, strategy, and roadmap for conversational commerce solutions across our channel sales platforms base on business benefits and needs. - Collaborate with cross-functional teams (sales, training, and engineering teams) to understand business needs, customer struggles, and industry trends to shape a compelling product vision. - Translate business goals into technical requirements, driving the AI architecture needed to deliver scalable, ground breaking AI/ML solutions. 2. LEADERSHIP & EXECUTION: - Lead and mentor a team of AI/ML product managers in building AI-driven capabilities at scale for sales enablement and learning platforms. - Ensure that the team’s efforts align with the company’s overall goals by completing the AI/ML product roadmap and meeting critical metrics. - Establish a product development process that uses Agile methodologies and fosters rapid iteration and innovation. 3. AI-POWERED SALES & LEARNING SOLUTIONS: - Design AI/ML-driven features and solutions to enhance the sales and training processes, including predictive analytics, personalized learning paths, and intelligent sales assistants. - Drive product development of intelligent systems that optimize personalized content delivery, and other AI-driven selling and learning capabilities. - Oversee the integration of machine learning models into the sales and learning systems, ensuring seamless and impactful user experiences. 4. SCALABILITY & INNOVATION: - Architect solutions that are scalable, secure, and maintainable, using AI/ML to enable adaptive learning experiences and sales insights across multiple channels. - Stay on the cutting edge of AI/ML technologies, incorporating standard processes and innovations to continuously improve product offerings. - Build partnerships with external technology vendors and AI research institutions to stay ahead of trends and foster collaboration. 5. CROSS-FUNCTIONAL COLLABORATION: - Work closely with sales leaders, learning and development teams, to ensure alignment on product requirements and value propositions. - Partner with data science, engineering, and program teams to ensure smooth execution from ideation to production. - Communicate the product vision, strategy, and value to partners and senior leadership, gaining alignment and support for AI/ML initiatives. 6. METRICS & PERFORMANCE: - Establish and monitor product success metrics (adoption, engagement, revenue impact) and use data-driven insights to drive continuous product improvement. - Manage and prioritize the product backlog, working with engineering teams to ensure timely delivery of high-impact features. **Minimum Qualifications** + Experience: 15+ years of experience in product management, business or market development. + Leadership: Demonstrated ability to lead, mentor, and inspire AI/ML product teams. Strong leadership in setting vision and driving product strategy. + Technical Expertise: In-depth knowledge of AI/ML models, data pipelines, cloud technologies, and product architecture. Experience with NLP, machine learning, deep learning frameworks, and analytics tools. + Education: Bachelor’s degree or equivalent experience in Computer Science, Data Science, Master’s degree or PhD in AI/ML is a strong plus. **Key Qualifications** **Preferred Qualifications** + Experience building AI/ML-focused product solutions is preferred. + Domain Knowledge: Experience in sales enablement, training, or learning solutions with a deep understanding of how AI can enhance these processes. Consulting experience preferred. + Collaboration: Strong cross-functional collaborator with excellent communication skills to influence key partners and drive alignment across teams. + Problem Solving: Ability to translate complex business problems into actionable AI/ML-driven product solutions. + Agility: Experience working in Agile environments, with a focus on iterative product development and rapid experimentation. **Education & Experience** **Additional Requirements** **Pay & Benefits** + 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 $238,300 and $358,200, 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 (https://www.apple.com/careers/us/benefits.html) 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 take affirmative action to ensure 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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) **Apple Footer** Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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 (Opens in a new window) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .