AI Security & Trust Engineering Manager

About the role

We're looking for an AI Security & Trust Engineering Manager to help operationalize trust across the company by partnering with Engineering, Product, Infrastructure, AI, and Compliance teams to embed scalable security, governance, and trust into the systems that power our business.

Responsibilities

• Lead cross-functional AI Security & Trust Engineering initiatives through influence, collaboration, and operational excellence.
• Translate security and trust strategy into clear execution plans, measurable outcomes, and shared ownership models.
• Partner with engineering teams to embed trust, security, and governance into AI-enabled products, platforms, and delivery workflows.
• Coach and mentor engineers on modern trust engineering practices, secure AI development, automation, continuous assurance, and scalable security controls.
• Replace manual processes with automated, repeatable, and resilient trust mechanisms.
• Drive operational excellence through documentation, reusable platforms, and engineering best practices.
• Establish meaningful metrics, operational feedback loops, and leading indicators that improve both security posture and engineering effectiveness.
• Help operationalize AI governance and customer trust initiatives across the organization.
• Influence stakeholders across multiple teams to remove friction, improve execution, and reduce organizational risk.

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or equivalent practical experience.
• 6+ years of experience in security engineering, infrastructure engineering, platform engineering, AI engineering, cloud engineering, or related technical disciplines.
• 2+ years of experience leading, mentoring, or influencing engineers in matrixed or cross-functional environments.
• Strong understanding of modern trust engineering, AI security, automation, continuous assurance, system-enforced controls, and scalable risk reduction.
• Experience delivering complex technical initiatives by influencing stakeholders across multiple teams.
• Excellent communication, relationship-building, and stakeholder management skills.
• A passion for using AI to solve meaningful business problems—not simply as a productivity tool.

Preferred Qualifications

• Experience building AI-enabled workflows, intelligent automation, AI agents, or enterprise AI platforms.
• Experience leading engineering initiatives within SaaS, cloud-native, platform, or highly automated environments.
• Background in infrastructure or platform engineering before moving into security.
• Experience supporting governance, compliance, or customer trust initiatives such as SOC 2, ISO 27001, or ISO 42001.
• Experience building engineering metrics, governance models, and operational frameworks that improve predictability and shared ownership.

Pay

Compensation Range: $160K - $175K