Program Manager, AI Data Operations

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.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

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. Able 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.
• Be 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.