Security Engineering Manager, Trust and Safety, Gemini and Labs

Google • Austin, TX

5d • $207,000 - $300,000

About The Position

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. Google's Trust and Safety (T&S) team is entrusted with an immense responsibility: making the internet safer for everyone. Within this group, our T&S Gemini and Labs team operates at the absolute frontier of technology. We are the stewards tasked with safety for Google's generative AI products and features, ensuring it is developed and deployed with the highest standards of safety and integrity. As the Security Engineering Manager for T&S Gemini and Labs, you would be thought leader and domain expert to inform the team's strategy and drive execution to combat novel Generative AI (GenAI) threats and provide technical leadership in cyber-security, intelligence, and threat analysis. You will mentor and lead the team to grow at the critical intersection of AI research and real-world security/harms to build the foundational defenses that prevent the misuse of generative models and agents. By pioneering threat detection and mitigation strategies, you will empower products to push the boundaries of AI innovation safely, ethically, and securely. You will not just participate in this mission; you will help lead it, setting the standard for the industry in addressing unprecedented safety issues at a global scale.

Requirements

• Bachelor's degree or equivalent practical experience.
• 8 years of experience with security engineering, computer and network security and security protocols.
• 8 years of experience with security analysis, abuse detection or threat modeling.
• 3 years of experience leading teams in a technical capacity or leading technical risk analysis in an enterprise environment.
• Experience in people management.

Nice To Haves

• Experience in applied vulnerability research, or advanced pen testing/red teaming/bug bounties.
• Experience in analyzing systems and identifying security and abuse problems, threat modeling, and remediation.
• Understanding of generative AI technologies, large language models (LLMs), and AI agents.
• Ability to review or be exposed to sensitive or violative content as part of core role.
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

Responsibilities

• Lead the team's strategy, research and direction to identify risks and threats with an evolving AI threat landscape.
• Translate insights into proactive mitigation goals to address novel abuse and attack vectors across product surfaces and capabilities.
• Provide technical leadership to scope and drive comprehensive, transparent and scalable anti-abuse defenses for interconnected AI ecosystems.
• Be the team's thought leader and engage with Engineering, Product, Policy and Legal to deploy scalable, and defensible mitigation processes for risks with Large Language Models (LLMs).
• Lead adversarial simulations, proactive assessments, discovery programs to surface unknown attack vectors and risks of AI systems and next-generation capabilities.
• Architecting novel testing frameworks to expose, multi-stage vulnerabilities.
• Direct rapid investigation, mitigation and response for high-severity AI abuse incidents, collaborating across product, research and policy teams.

Benefits

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 5,001-10,000 employees