Cloud AI Protection Manager

Cloud AI Protection Manager

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corporate_fareGoogleplaceSeattle, WA, USA

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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XIn 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: 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 (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Minimum qualifications:

• Bachelors degree or equivalent practical experience.
• 7 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
• 7 years of experience managing projects and defining project scope, goals, and deliverables.

Preferred qualifications:

• Master's degree or PhD in Computer Science, AI, Machine Learning, or related technical field.
• 10 years of experience in Trust and Safety, cybersecurity, or fraud detection, including 3 years managing technical teams.
• Experience designing machine learning classifiers, neural networks, and automated red-teaming/vulnerability pipelines.
• Experience influencing senior cross-functional stakeholders across Engineering, Product, Research, and Legal to implement large-scale defense-in-depth protections.
• Expertise in Generative AI, LLMs, and autonomous agent threat landscapes, including adversarial risks like jailbreaking and data exfiltration.

About the job

As a part of the Trust and Safety Cloud AI team, the vanguard of Cloud AI security and safety, your mission is to safeguard users, protect the integrity of our platforms, and ensure the responsible deployment of AI products at global scale. You will operate at the critical intersection of cutting-edge AI research and real-world security, building the foundational defenses that prevent the misuse of generative models and agents. You will pioneer proactive threat detection and robust mitigation strategies, empower Google Cloud to push the boundaries of AI innovation safely, ethically, and securely.

As a part of the Engineering Analyst Manager for Cloud AI Security and Abuse, you will lead a high-performing team protecting Google Cloud's cutting-edge AI products and developer platforms (including Vertex AI, Gemini Enterprise, AI Studio, and Cloud APIs) against sophisticated adversarial actors and emerging frontier risks. You will sit at the intersection of data science, security engineering, and threat intelligence, your team uncovers complex abuse patterns across billions of events, architects automated detection and enforcement pipelines, and builds next-generation guardrails for generative and agentic AI systems.

You will combine people leadership with deep technical and analytical acumen, mentoring Engineering Analysts, guiding the development of AI-driven defenses, and partnering closely with leaders across Cloud, DeepMind, Security, Product, and Policy. Your leadership will ensure that Google's enterprise and developer AI deployments remain resilient against exploitation while balancing rigorous protection with a friction-less customer experience.

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

US: $188000 - $274000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Mentor and grow a high-performing team of Engineering Analysts to foster a culture of technical excellence and innovation.
• Define the strategic vision, Objectives and Key Results (OKRs), and roadmaps for Cloud AI security, balancing urgent incident response with foundational, long-term defenses.
• Drive the design and deployment of scaled detection systems, including ML, Large Language Model (LLMs), and heuristic frameworks to mitigate threats like prompt injection and abuse.
• Advance proactive threat intelligence, adversarial benchmarking, and automated red-teaming to identify novel attack vectors in agentic AI.
• Partner cross-functionally across Engineering, Research, and Legal to translate security insights into hardened architectures, while establishing rigorous measurement frameworks to ensure operational precision for enterprise AI requests.

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.

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, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

To all 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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.