Security Engineering Manager, Trust and Safety, Gemini and Labs

Security Engineering Manager Trust and Safety Gemini and Labs

Locations

• Austin, TX, USA
• Kirkland, WA, USA
• 3 more locations

Job Details

• Role: Security Engineering Manager
• Team: Trust and Safety, Gemini and Labs
• Company: Google

About the Job Our Security team works to create and maintain the safest operating environment for Googles 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.

Googles 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 Googles 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 a thought leader and domain expert to inform the teams 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.

Responsibilities

• Lead the teams 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 teams 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, and discovery programs to surface unknown attack vectors and risks of AI systems and next-generation capabilities.
• Architect 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.

Minimum Qualifications

• Bachelors 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.

Preferred Qualifications

• Experience in applied vulnerability research or advanced pen testing, red teaming, or 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 the core role.
• Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

Compensation The US base salary range for this full-time position is $207,000 - $300,000 (bonus, equity, benefits). Our salary ranges are determined by role level and location. Within the range, individual pay is determined by work location and additional factors including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Note: The compensation details listed in US role postings reflect the base salary only and do not include bonus, equity, or benefits.

Benefits In accordance with Washington state law, we are highlighting our comprehensive benefits package which is available to all eligible US-based employees. Benefits for this role include:

• Health: Dental, vision, life, disability insurance.
• Retirement Benefits: 401k 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).
• Event Discretionary: 5 days.
• Maternity Leave: Short-Term Disability, Baby Bonding (28-30 weeks).
• Baby Bonding Leave: 18 weeks.
• Holidays: 13 paid days per year.

By applying to this position, you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Kirkland, WA, USA; Seattle, WA, USA; Washington D.C., DC, USA.

Additional Information

• English Proficiency: Google is a global company and in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
• Accommodations: If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
• Recruitment Agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
• Privacy: Information collected and processed as part of your Google Careers profile and any job applications you choose to submit is subject to Googles Applicant and Candidate Privacy Policy.

Equal Opportunity Statement Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding, expecting, or parents-to-be), criminal histories consistent with legal requirements, or any other basis protected by law. See also Googles EEO Policy. Know your rights: workplace discrimination is illegal. Belonging at Google.