Technical Program Manager III, AI and Data Infrastructure, Google Ads

Google•Mountain View, CA

8h•$163,000 - $236,000

About The Position

The AI and Data Infrastructure (ADI) team's goal is to build, manage, and improve the underlying systems used across Sales, Support, and Marketing Platforms within Customer Engagement (Google Ads). We enable and empower other teams to achieve more than would be possible without our infrastructure. As a Technical Program Manager on the ADI team, you will lead complex and exciting AI and Data Infra programs that impact Google Ads and many Google Product Areas. You will work with cross-functional team members from Product Management, Engineering, and UX/UXR to stay on the of AI and Data technology, execute on end-to-end programs from initiation to post-launch, and contribute to team roadmaps and strategy. Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business. Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.

Requirements

Bachelor's degree in a technical field, or equivalent practical experience.
5 years of experience in program management.
Experience in AI infrastructure.

Nice To Haves

5 years of experience managing cross-functional or cross-team projects.
Experience with data infrastructure.
Experience with ads or customer engagement.

Responsibilities

Own and drive the completion of interdependent programs across multiple teams/partnerships on behalf of the ADI team.
Partner with key stakeholders across Ads and GBO to implement and tailor Google/Ads-wide strategic programs/initiatives to meet the unique needs and mission of the ADI team.
Stay on the edge of AI and data across Google and the broader industry. Attend conferences (both internal and external) to gather knowledge and share learnings with the team.
Identify, assess, and mitigate program risks and dependencies. Develop and execute effective escalation strategies to ensure swift resolution of roadblocks.
Create comprehensive program charters, timelines and milestones, and contingency plans to ensure all programs goals are delivered on-time and within scope.