Technical Program Manager, Cloud AI

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
• 8 years of experience in program management.
  

Preferred qualifications:

• 8 years of experience managing cross-functional or cross-team projects.
• Knowledge of AI model training, testing, evaluation, and tuning processes.
• Knowledge of Key Performance Indicators for AI products.
• Understanding of ML/AI principles and their distinctions from traditional software development.

About the job

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

As a Technical Program Manager (TPM), you will lead the charge in delivering Generative AI products to enterprise customers. Partner with product managers, engineers, and leadership to define road maps, prioritize features, and ensure timely releases. You will grow in a fluid environment where your technical expertise and program management skills will directly impact Google's AI strategy. If you have a passion for AI, and experience managing complex programs, and excellent communication skills, this is the role for you. You will help us empower developers to build the next generation of intelligent applications.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities

• Manage project life-cycles, from gathering requirements and assessing risks to prioritizing features with stakeholders (product, engineering, etc.).
• Work with engineering, product management, and other partners to define all work streams, requirements, schedules, resources, and milestones.
• Demonstrate technical knowledge and thought leadership to enhance project efficiency.
• Identify, develop, and implement process improvements to help the team.
• Oversee important customer engagements, promote new evaluation methodologies and standard procedures, and identify Key Performance Indicators and data quality metrics for success.