This role pays more than
59%
of similar roles. Most pay
$170,000–$251,625
— the shaded band above.
At the midpoint, this role pays about
$220k
versus about
$211k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
1984 open roles
on FindRole.
Listed pay typically runs
$175,000–$277,600
across 1590 roles with salary data.
As an AI Engineering Program Manager, WW Sales Enablement and Transformation, you will join the World Wide Sales Business Transformation group to drive the execution of complex AI/ML projects. You will be responsible for delivering sophisticated solutions such as conversational agents, RAG systems, and automated workflows while managing cross-functional dependencies across Software Engineering, Data Science, UX/UI, and Information Security teams. Your daily work involves translating product roadmaps into actionable engineering milestones, facilitating stand-ups, and tracking the integration of LLM APIs, data pipelines, and microservices. You must possess technical fluency in Python to evaluate Proof of Concepts and manage MLOps best practices like CI/CD and version control. This role solves critical business problems by implementing AI initiatives that improve customer experience and innovate large-scale channel operations through advanced machine learning technologies and automated workflows.
Drive the end-to-end execution and delivery of AI/ML platforms, including conversational agents and RAG systems.
Translate product strategy and roadmaps into detailed engineering execution plans, sprint schedules, and milestones.
Manage cross-functional dependencies across Software Engineering, Data Science, UX/UI, and Information Security teams.
Identify and mitigate technical blockers, resource constraints, and risks to ensure on-time project delivery.
Facilitate technical design reviews, daily stand-ups, and sprint retrospectives to maintain team alignment.
Track the integration of LLM APIs, data pipelines, and microservices for seamless deployment.
Distill complex engineering progress into concise status updates for executive leadership and business partners.
Drive MLOps best practices including version control, CI/CD pipelines, and automated testing for AI systems.
What we're looking for
Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
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 with architectural diagrams, API integrations, and software development life cycles (SDLC).
Proficiency with Python to read code, evaluate technical Proof of Concepts, and run basic scripts.
Familiarity with artificial intelligence, machine learning concepts, and LLM ecosystems including GenAI, RAG, and prompt engineering.
Expertise in agile methodologies and project management tools like Jira, Confluence, or Wrike.
Background in sales analytics, go-to-market strategies, or sales operations (preferred); Master's degree or PMP/CSM certifications (preferred).