AI Security Program Manager — Enterprise Scale

Socket.dev; Seattle (WA); On-site; USD 163,000 - 236,000; Full time

Job summary

Google seeks a Technical Program Manager to lead large-scale, cross-functional programs within Cloud AI Security and Abuse in Seattle. You will plan requirements, identify risks, manage schedules, and communicate with engineers and executives across teams.

In this role, you will safeguard users, protect platform integrity, and drive defenses to prevent misuse of generative models, engaging with enterprise clients and internal partners for a safe, trusted experience.

Qualifications

• Bachelor's degree in a technical field or equivalent practical experience.
• 5 years of experience in program management.
• Experience in enterprise security.
• Experience with customer engagement.

Responsibilities

• Lead large-scale, cross-functional programs across Cloud AI to deliver critical product protections and mitigate emerging threats in generative and agentic AI.
• Act as a key liaison for enterprise clients, understanding their unique security requirements and ensuring our defenses shield customers and users from harm.
• Serve as a primary point of contact for customer-facing escalations related to Cloud AI abuse, providing timely and transparent communications regarding incident response and mitigation strategies.
• Coordinate and drive the rapid response for high-priority AI security incidents, and track the implementation of sustainable long-term solutions.
• Establish and drive a culture of continuous improvement by defining and analyzing metrics to measure program impact, identify inefficiencies, and refine processes for future security-related work.

Skills

Program management

Enterprise security

Customer engagement

Cross-functional collaboration

Education

Bachelor's degree in a technical field

Job description

Google seeks a Technical Program Manager to lead large-scale, cross-functional programs within Cloud AI Security and Abuse in Seattle. You will plan requirements, identify risks, manage schedules, and communicate with engineers and executives across teams.

In this role, you will safeguard users, protect platform integrity, and drive defenses to prevent misuse of generative models, engaging with enterprise clients and internal partners for a safe, trusted experience.