Agentic Compliance TPM - AI-Driven Risk & Controls

Socket.dev; Mountain View (CA); On-site; USD 163,000 - 236,000; Full time

Benefits offered by this job

Equity

Bonus target (15%)

Benefits

Job summary

Google is seeking a Technical Program Manager to lead agentic-based compliance initiatives across multiple domains. You will plan requirements with stakeholders, identify risks, manage schedules, and clearly communicate with executives and engineers.

The role sits within Google’s R3 Office of Compliance, embedding proactive governance into product development to accelerate safe deployment of AI breakthroughs.

Qualifications

• Bachelor's degree in a technical field or equivalent experience.
• 5 years of program management experience.
• Experience in security operations (e.g., vulnerability management, system hardening, pentesting).
• Experience creating or managing internal controls in a technical environment.

Responsibilities

• Advocate, design, implement, and operate agentic-based controls across multiple compliance domains that automate risk analysis, triage issues, and validate control implementation.
• Support enterprise-wide remediation initiatives, acting as a strategic partner to support product teams in resolving flaws and maintaining robust compliance postures.
• Manage multiple compliance programs, leveraging innovative AI tooling to define milestones, track success criteria, and ensure on-time delivery.
• Identify, assess, and advise on compliance risks and controls, using AI-first methodologies and intelligent tools for risk analysis.
• Communicate compliance strategy, tool adoption, schedules, and status to stakeholders across all levels of the organization.

Skills

Program management

Security operations

Internal controls

Cross-functional collaboration

Education

Bachelor's degree or equivalent

Tools

AI tooling

Security frameworks

Job description

Google is seeking a Technical Program Manager to lead agentic-based compliance initiatives across multiple domains. You will plan requirements with stakeholders, identify risks, manage schedules, and clearly communicate with executives and engineers.

The role sits within Google’s R3 Office of Compliance, embedding proactive governance into product development to accelerate safe deployment of AI breakthroughs.