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Open nowFirst seen 3 hours ago

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

Google3,292 open roles

Where
Mountain View, CA, USA
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Your applicationOpen nowTechnical Program Manager III, AI and Data Infrastructure, Google AdsGoogle · Mountain View, CA, USA

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Google's own form.

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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. Google postings stay open a median of 26 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.0%14 days
  5. 33.9%30 days
This job: first seen 3 hours ago

Google median: 26 days open

The posting

Minimum qualifications:

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

Preferred qualifications:

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

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.

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.

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.
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