AppleCare Digital brings the highest standard of quality and innovation to Apple customers around the globe across a broad range of digital experiences. The organization is responsible for support and service experiences that span content, web assets, customer tools and apps, community forums, analytics, SEO, and social media. Join the Digital Product Ops team which leads customer experience improvements for two of Apple’s most impactful digital properties - the Apple Support App and the ‘Get Support’ web app (getsupport.apple.com) which impact millions of customers every day. We help customers describe and solve support problems with digital content and video; we also connect customers with assisted support options like the Genius Bar and phone and chat advisors. At our core, we create experiences that seamlessly help customers use and love their Apple products. The AI/ML Product Ops Program Manager ensures that the machine learning models we use to make our customer experience better are truly useful, accurate, and responsibly integrated into our customer facing platforms and backend systems. In this role, you will develop a solid understanding of the team’s existing technical implementations and operational processes, and use that knowledge, alongside data-driven insights and systems thinking, to create informed improvements to our customer experience, product platforms or backend services, for impactful and trustworthy and scalable AI-driven experiences. We are seeking an individual who can work independently and also thrives working on a collaborative team and is ready to roll up their sleeves to get things done. The ideal candidate will need to be well versed in both organizational strategy and technical product capabilities so they can transform customer and business problems into actionable solutions. We are looking for someone who has a vision for the future and is excited about leading and participating in ideation sessions.

Description

As the ML Product Operations Program Manager, you will be partnering with the technical product managers, engineers, solution architects, ML analysts, data scientists and others to translate generative AI and ML feature ideas into efficient systems, scalable tools, and delightful customer experiences.

Minimum Qualifications

Bachelors in Engineering, Computer Science or similar field of study with 8 years of applicable experience, or a Master's degree in a similar field with 6 years of applicable experience 4-6 years of program management experience including program strategy, process definition, planning, execution, risk management, and resource allocation, while managing multiple work streams interdependently Demonstrated data-driven decision-making skills, including experience leading metrics-driven projects or programs Experience with tools like Tableau to measure KPI’s (CSAT, customer effort, self service adoption, abandon rate, etc.) Strong understanding of the machine learning development lifecycle (MLOps), including data pipelines, model training, evaluation, deployment, and monitoring, to effectively guide technical discussions. Proficient in applying Agile/Scrum principles to manage dynamic product development cycles, particularly in environments integrating cutting-edge ML technologies, prompt management systems and LLM evaluation Excellent written and verbal communication skills, capable of articulating technical concepts to non-technical audiences. Able to independently draft and present deliverables, recommendations, timelines, status updates and communication strategies to executives Able to lead, partner and drive consensus with product, UX/UI, engineering and other cross functional partners to translate ML capabilities into product features and user experiences Strong understanding of how backend configuration tools and ML model deployment systems are designed and managed. Ability to influence the architecture and usability of these internal tools to ensure they effectively enable agile iteration, robust control, and optimal user experience for ML-powered features.

Preferred Qualifications

MBA a plus Knowledgable in SQL, R/Python Proven success leading programs that span ML and/or digital support channels (chat, self-service) or contact center/IVR systems. Experience building AI-powered support solutions (e.g., virtual agents, chatbots, predictive routing). Understanding of agile and design thinking methodologies

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Technical Product Manager, AI/ML Support Features

Description

Minimum Qualifications

Preferred Qualifications