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Salary
≈ $135k – $260k per year (Estimated)
Location
In office (Seattle)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 21, 2026. Google scores B on the Alion truth index.

Overview
Company
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

Our Security team works to create and maintain the safest operating environment for Google's users and developers. Security Engineers work with network equipment and actively monitor our systems for attacks and intrusions. In this role, you will also work with software engineers to proactively identify and fix security flaws and vulnerabilities.

The Senior Security Engineer, Trust and Safety (T&S) Intel Security Engineering leads Detection and Response for severe GenAI-related security incidents impacting third-party users, customers, and the general public. You will serve as a subject matter expert for AI Security within T&S, and will develop deep cross-Google relationships to ensure risk transparency and to mobilize effective prioritization, mitigation, and resolution of AI security risks. Outside of active incidents, they will work to improve D&R readiness, including building and maintaining playbooks and escallation processes, ensuring appropriate detection coverage, and exercising incident management processes through tabletop exercises.

The Senior Security Engineer will also support T&S's Operational Intelligence lifecycle for AI security-related issues, with a focus on emerging cybersecurity and frontier AI risks. You will be responsible for designing or developing tools and pipelines to surface risk signals, and will drive the detection, enrichment, and analysis of those signals to deliver actionable intelligence to internal stakeholders.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Drive T&S Intel's Detection and Response functions, including pre-incident preparedness activities, cross-Google development of relationships, playbooks, escalation procedures, and process improvement.
  • Support urgent detection and response for critical AI security issues impacting external users, developers, and the general public, including on-call incident management during business hours.
  • Support T&S Intel with security subject-matter expertise. Develop tools, processes, and signal sources supporting detection, enrichment, and analysis of security-related issues, especially focused on risks related to GenAI products.
  • Inform and mobilize decision makers and other stakeholders to catalyze systemic risk mitigation and enhance transparency.
  • Assess the validity and severity of externally- and internally- discovered AI security and abuse issues. Reproduce and validate reports, capturing information required by the product teams to understand and resolve the issue.

Qualifications

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience with security assessments or security design reviews or threat modeling.
  • 5 years of experience with security engineering, computer and network security and security protocols.
  • 5 years of coding experience in one or more general purpose languages.
  • 1 year of experience leading teams in a technical capacity or leading technical risk analysis in an enterprise environment.

Preferred qualifications:

  • Experience working with product teams to remediate identified issues.
  • Experience working with external parties or in a publicly-facing role.
  • Experience with generative AI or similar AI/ML systems.
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