Program Manager, AI Data Operations

Minimum Qualifications:

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in program management.
• 3 years of experience with GenAI use cases or AI Agentic development.

Preferred Qualifications:

• 8 years of experience with program management.
• Ability to operate with energy and flexibility in a constantly evolving work environment.
• Ability to work separately and on multiple initiatives at the same time.

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 Program Manager at Google, you’ll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Understand various Google products, tools and processes and leverage them to push machine learning based automation and increase operational efficiencies.
• Deliver critical pieces of analysis and use these to drive new insights and uncover improvement opportunities, identify and implement large-scale measurable and scalable solutions for Machine learning projects.
• Support teams in a changing environment to drive large-scale program delivery from concept to completion, leading through multiple evolutions along the way. Demonstrated ability to prioritize, adapt to change, and provide flexible thought partnership in a rapidly evolving landscape.
• Establish quality framework collaborating with multiple partners/stakeholders and publish methodologies that enable AI improvements across teams.
• Responsible for driving pilots to scale enabling new ways to get data collaborating with multiple Product Areas (PAs) and find ways to improve AI models supporting critical launch dates.