Engineering Project Manager; EPM GenAI, AI & Data Platforms; AiDP

Engineering Project Manager (EPM) for GenAI, AI & Data Platforms (AiDP)

Sunnyvale, California, United States Corporate Functions

Do you love understanding every detail of how new technologies work? Join the team that serves as Apple’s nerve center, our Information Systems and Technology group. Here, you’ll do more than join something —you’ll add something. You will be part of Apple’s organization driving generative AI and data platforms for Apple enterprise. Our team champions enterprise generative AI by providing innovative GenAI-powered platform and solutions to transform how we work.

We do this with an outstanding group of engineers, data scientists, engineering managers, and product and program managers. We are looking for an Engineering Project Manager (EPM), who will be instrumental in orchestrating the successful delivery of complex, cross-functional initiatives that drive significant business impact. Are you a project manager that thrives on working on new technologies and fast-paced application and platform development?

Do you like to work with a multidisciplinary team working on the future of enterprise productivity? Then we want to hear from you!

You will play a crucial role within diverse engineering teams across multiple layers of the technology stack, as well as critical cross-functional partners and business units. A profound technical understanding is paramount; you will facilitate requirements brainstorming and design review sessions, providing challenging insights and architectural considerations to engineering discussions. Beyond merely comprehending functionalities, you are expected to contribute meaningfully to technical strategy and problem-solving.

Furthermore, a strong user-centric mindset is essential. You will champion the user experience, challenging decisions and advocating for solutions that prioritize the best outcomes for our users. You will proactively identify and mitigate risks, remove obstacles, and foster seamless communication and collaboration across all involved teams.

• You will be joining a team of highly-skilled and entrepreneurial team members working on groundbreaking and rapidly evolving technological transformation of a lifetime. You will contribute to large cross-functional platforms and solutions to deliver value to Apple teams
• Lead high visibility enterprise generative AI programs, responsible for road mapping, establishing OKRs and reporting statuses to executives regularly and succinctly
• Drive consensus across multiple groups with varying opinions & needs. Influence entire teams around a common purpose and drive conference on the plan of execution
• Create and manage project schedules with clear dependencies, critical path and systematic methodology to communicate status
• Contribute to product definition, identifying and understanding customer needs and priorities, and developing roadmap
• Build and run processes that allow for the maximum agility and adaptation across AiDP teams
• Build relationships across the AiDP organization and across Apple facilitate communication between cross-divisional groups around Apple

• 2+ years of industry experience in an engineering role
• 2+ years of managing engineering programs, bringing multiple teams together marching towards common objectives
• A foundational understanding or keen interest in Generative AI concepts; such as, Retrieval Augmented Generation (RAG), prompt engineering, agentic AI or efficient information access strategies
• Demonstrated technical acumen, capable of engaging in detailed discussions with engineers and researchers
• BS in Computer Science, Engineering, or a technical field, or international degree equivalent

• Ideally, you have one-plus years experience leading AI or ML programs in an enterprise environment
• Experience with major cloud platforms (AWS, GCP, Azure) and their ML services
• Familiarity with Generative AI frameworks and libraries
• Your ability to navigate ambiguity in a high-stakes, fast-moving environment with efficiency, discretion, integrity, and confidentiality is recognized by peers and teams
• A self-motivated, independent, and…