AI Engineering Program Manager, WW Sales Enablement and Transformation

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. We

are seeking a highly organized and technically fluent AI Engineering Program

Manager to drive the execution of complex AI/ML projects.

In this role, you will

• be the driving force behind our engineering delivery, ensuring that
• sophisticated AI solutions—such as conversational agents, RAG systems, and
• automated workflows—are 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.
• DESCRIPTION

In this role, you will

• -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.