
Manager, Infrastructure Security and Compliance
Required skills
- Infrastructure Security
- Compliance
- Data Centers
- Operational Technology
- Telecommunications Security
- SOX
- SOC 2
- ISO
- Security Architecture
- Vulnerability Management
Nice to have
- AI tools
- ethical AI
- prompt engineering
- agent orchestration
- managed service providers
- subsea
Role summary
Meta's LINCS organization is seeking a Manager, Infrastructure Security and Compliance to lead its Security and Compliance team. This role involves setting strategy, managing a portfolio across Meta's data centers, facilities, operational technology, and networks, and overseeing security architecture, vulnerability management, and compliance with regulations like SOX and SOC 2. The manager will be responsible for hiring, developing, and retaining technical talent, and partnering with cross-functional teams to manage risks and align requirements. Experience in infrastructure security, compliance programs, and people management is essential, with a preference for AI integration and critical infrastructure security expertise.
Responsibilities
- Own the strategy, operating model, and roadmap for infrastructure security and compliance, and report posture, audit readiness, and risks
- Hire, develop, and retain engineers and specialists, build a leadership bench through internal development and external hiring, and own team health, including performance, attrition, and engagement
- Oversee security architecture, product and design reviews, vulnerability management, threat detection, incident readiness, physical security, and security risk governance
- Lead compliance and regulatory assurance across SOX, SOC 2, ISO, media sanitization and IT asset disposition, physical and environmental controls, and subsea cable systems
- Prioritize the portfolio against operational risk, infrastructure growth, regulatory deadlines, and team capacity, and make tradeoff recommendations
- Partner with cross-functional teams to align on security and compliance requirements and resolve risk and resource tradeoffs
- Sponsor tooling, automation, and AI capabilities that scale security coverage faster than the infrastructure surface grows
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
- 10+ years of experience in infrastructure security, network security, enterprise compliance, or telecommunications security
- 5+ years of experience managing technical teams, including senior individual contributors and technical leads
- Experience owning a security or compliance program end-to-end in a large-scale network, data center, or critical infrastructure environment
Preferred Qualifications
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience managing blended teams of employees, contingent workers, and managed service providers
- Experience securing subsea, facilities, industrial control and operational technology, or other regulated critical infrastructure environments
- Experience leading a technical team through reorganization or rapid scope change
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience managing audit, regulatory, control, and remediation programs, including direct engagement with external auditors or regulators
- Experience applying automation, AI, or data products to scale security or compliance operations
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
$193,000/year to $271,000/year + bonus + equity + benefits
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