Technical Project Manager, AI & Data Platforms (AiDP)

Apple Inc.
Sunnyvale, United States of America
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior

Job location

Sunnyvale, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Azure
Google Cloud Platform
Prompt Engineering
Generative AI
Data Management
Virtual Agents

Job description

We are looking for an Technical Project Manager (TPM), 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.

Requirements

  • 2+ years of managing programs, bringing multiple teams together marching towards common objectives
  • BS in a business, project management or related field, * Demonstrated technical acumen, capable of engaging in detailed discussions with engineers and researchers
  • 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
  • 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 proactive person with exceptional interpersonal skills; demonstrated creative and critical thinking capabilities; can quickly triage, prioritize, and lead under pressure
  • Outstanding communication and presentation skills, written and verbal, to all levels of an organization

About the company

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple's Information Systems and Technology (IS&T) organization. From Apple ID to Apple's website to data centers around the globe, IS&T's engineers, designers, and creators manage the massive systems and services that power Apple. IS&T is the engine behind everything Apple does for employees and customers. It's not traditional IT - it's Apple's central nervous system. From supporting 2.5 billion active Apple devices to securing every transaction, download, and interaction, IS&T makes the impossible feel effortless. Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here. AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

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