Head of Product Security
Tasks
- Build and lead global product and AI security organization
- Conduct penetration testing and vulnerability management
- Create secure by default AI guardrails and model hardening
- Define product security strategy
- Define security standards for model training evaluation deployment and lifecycle
- Drive customer security escalations audits and assurance programs
- Ensure AI training data lineage and model versioning transparency
- Ensure compliance with NSA aligned and NIST frameworks
- Establish AI security architectures
- Implement continuous adversarial testing for LLMs and generative AI
- Lead AI native security for models pipelines and inference services
- Lead threat modeling and architecture reviews
- Manage PSIRT and coordinate incident response
- Operationalize Responsible AI principles
- Oversee audit execution remediation and compliance automation
- Oversee detection and monitoring for AI specific attacks
- Own secure SDLC policies tooling and governance
- Provide executive security risk briefings and stakeholder management
- Run secure coding and vulnerability remediation programs
Perks/Benefits
- N/A
Skills/Tech-stack
800-53 | AI Act | AI Governance | AI Security | Adversarial Resilience | Adversarial Testing | CNSS | Cloud Security | Cloud infrastructure | Cloud infrastructure security | Common Criteria | Data Pipelines | DevSecOps | EU AI | EU AI Act | FedRAMP | Generative AI | Incident Response | Infrastructure Security | LLM security | ML Security | NIAP | NIST SP | NIST SP 800 | NIST SP 800-53 | PSIRT | Penetration Testing | Red Teaming | Responsible AI | Runtime Monitoring | SBOM | SP 800-53 | Secure Coding | Secure Data | Secure SDLC | Secure data pipelines | Security Engineering | Threat modeling | Vulnerability Management
Education
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