AI Engineering Program Manager, WW Sales Enablement and Transformation

Imagine what you could do here. The people here at Apple dont just create products they create the kind of wonder thats revolutionized entire industries. Its 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 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 are seeking a highly organized and technically fluent AI Engineering Program Manager to drive the execution of complex AI/ML this role you will be the driving force behind our engineering delivery ensuring that sophisticated AI solutionssuch as conversational agents RAG systems and automated workflowsare built and deployed successfully. You will partner with Product Managers Data Scientists AI Engineers and Security teams to break down complex product roadmaps into actionable engineering milestones manage cross-functional dependencies and clear roadblocks to ensure technical excellence and on-time delivery.n

In this role you will:nn-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.n-Partner closely with Product Management to translate product strategy and roadmaps into detailed engineering execution plans sprint schedules and deliverable milestones.-n-Manage complex cross-functional dependencies across Software Engineering Data Science UX/UI Enterprise Architecture and Information Security teams.n-Proactively identify track and mitigate execution risks technical blockers and resource constraints before they impact project timelines.n-Facilitate engineering planning daily stand-ups technical design reviews and sprint retrospectives to ensure team alignment and momentum.n-Track the integration of technical components such as LLM APIs data pipelines and microservices ensuring all technical moving parts align for seamless deployment.n-Serve as the central point of contact for project status distilling complex engineering progress into clear concise executive updates for business partners and leadership.n-Establish and continuously improve engineering delivery processes fostering a culture of efficiency and collaboration within a fast-paced dual-speed organization.n-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.n-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.n

Typically requires 8 years of experience in Engineering Program Management Technical Project Management or a related role within software engineering or data track record of managing complex distributed enterprise software or data-driven technical fluency and the ability to understand architectural diagrams API integrations and software development life cycles (SDLC).nTechnical 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 with artificial intelligence machine learning concepts and LLM ecosystems (GenAI RAG prompt engineering) to effectively communicate with highly technical organizational skills and expertise in agile methodologies and project management tools (e.g. Jira Confluence Wrike or similar).nOutstanding communication and presentation skills with the ability to translate technical jargon into business impact for executive to lead through influence building strong relationships across matrixed technical and non-technical degree in Computer Science Engineering Information Systems or equivalent practical experience.n

Background in sales analytics go-to-market strategies or sales experience managing the deployment of Machine Learning models or AI applications into production of data privacy enterprise security reviews and compliance requirements related to AI and data with cloud infrastructure microservices and CI/CD deployment processes to better anticipate engineering CSM or related program management degree in Engineering Computer Science or a related technical field preferred.