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Mountain View, CA, USA
Source: Google careers · View original posting
From Google's posting. “We” and “our” refer to the employer.
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.
The AI and Data Infrastructure 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 AI and Data Infrastructure (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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits
Learn more about
benefits at Google.
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