Senior Security Engineer, Trust and Safety Workspace
Listed on 2026-09-16
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IT/Tech
Cybersecurity, Security Management & Operations, Information Security & Data Protection, Network Security
The Trust and Safety Workspace Account Security and Integrity (AIS) team is dedicated to protecting Google Workspace and Cloud customers from account-based threats. The mission is to safeguard the integrity of Workspace accounts by delivering a unified, scalable defense against account hijacking, takeover (ATO), and malicious automation. We operate at the critical intersection of product security and abuse prevention, balancing robust security controls with a frictionless experience for both individual users and enterprise organizations.
By studying adversarial behavior and building state-of-the-art telemetry and agentic defense systems, we ensure a secure, trusted, and resilient ecosystem that protects our customers' businesses, data, and users.
- Drive the technical strategy and threat modeling for Workspace account security, identifying systemic weaknesses in authentication, recovery, and API integration paths.
- Lead vulnerability research and adversarial simulation to expose novel account takeover (ATO) and "Made for Abuse" (MFA) techniques.
- Design and build advanced agentic systems, debugging tools, and simulators to autonomously detect, analyze, and mitigate complex account security threats.
- Architect and deploy customer-facing agentic tools that empower Workspace and Google Cloud customers to proactively monitor and secure their own environments.
- Lead the investigation of high-severity account security incidents, developing robust, long-term mitigations and patches in collaboration with Product Engineering teams.
- 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.
- Master's degree or PhD in Computer Science, Cybersecurity, or a related technical field, or equivalent practical experience.
- Experience in account security mechanisms, identity and access management (IAM), and modern authentication standards (e.g., OAuth 2.0, OIDC, FIDO/Passkeys, SAML).
- Experience building or deploying AI agents, LLMs, or agentic workflows for security automation, threat detection, or user-facing product features.
- Understanding of anti-abuse systems, bot detection, and mitigations against malicious automation (credential stuffing, bulk creation).
- Ability to identify novel security vulnerabilities (e.g., threat research, bug bounties, security advisories) and implementing systemic engineering fixes.
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