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In office (Seattle)
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Middle · 5+ years exp
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Confirmed on the employer's own hiring board on Nov 7, 2026. First seen by Alion on Nov 6, 2026. Google scores B on the Alion truth index.

Overview
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Impact
Profile match
Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

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.

As a Technical Program Manager on the Cloud AI Security and Abuse (CASA) team, you will help us safeguard users, protect the integrity of our platforms, and ensure the responsible deployment of AI products at global scale. In this role, you will lead complex initiatives dedicated to building the foundational defenses that prevent the misuse of generative models and agents. By steering these critical cross-functional efforts and directly engaging with key internal and external clients, you will ensure we create a safe, secure, and trusted experience for enterprises and users.

At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.

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

  • Lead large-scale, cross-functional programs across Cloud AI to deliver critical product protections and mitigate emerging threats in generative and agentic AI.
  • Act as a key liaison for enterprise clients, understanding their unique security requirements and ensuring our defenses shield customers and users from harm.
  • Serve as a primary point of contact for customer-facing escalations related to Cloud AI abuse, providing timely and transparent communications regarding incident response and mitigation strategies.
  • Coordinate and drive the rapid response for high-priority AI security incidents, and track the implementation of sustainable long-term solutions.
  • Establish and drive a culture of continuous improvement by defining and analyzing metrics to measure program impact, identify inefficiencies, and refine processes for future security-related work.

Qualifications

Minimum qualifications:

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 5 years of experience in program management.
  • Experience in enterprise security.
  • Experience with customer engagement.

Preferred qualifications:

  • 5 years of experience managing cross-functional or cross-team projects.
  • Experience with AI products or platforms.
  • Experience with AI safety and abuse.
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