PubMatic
Director, Information Security
Redwood City, US · Director
Sponsorship not specifiedDetected 1 day ago
Cloud PlatformsKubernetesLLMsCybersecuritySOC OperationsDetection EngineeringIncident ResponseLeadershipCommunicationCISSP
About the role
- Working knowledge of AI-powered security tooling (automation, threat detection, incident triage) and familiarity with emerging AI-specific risks such as LLM vulnerabilities, prompt injection, and data leakage through AI tools.
Responsibilities
- Lead Security Engineering, Security Operations, Governance, and Incident Response.
- Build a highly automated, AI-enabled security organization focused on excellence and operational efficiency.
- Manage a team of security engineers, security investments, vendor relationships, and strategic security initiatives.
- Lead security architecture across cloud infrastructure, enterprise platforms, products, identity, networks, Kubernetes, endpoints, and data protection.
- Drive security automation, threat detection, vulnerability management, incident response, and continuous improvement.
- Partner with engineering teams to embed security by design throughout the software development lifecycle.
- Build reusable security platforms, self-service capabilities, APIs, and automation that enable developers while reducing operational overhead.
- Develop and execute the company's AI security strategy and governance framework, with a security focus.
Requirements
- Ability to translate complex security concepts into clear, decision-ready narratives for leadership, auditors, and regulators.
- Ability to shape organizational policy on safe AI adoption.
Nice to have
- Bachelor's degree or higher in Computer Science, Cybersecurity, Engineering, or related field.
- CISSP, CISM, CCSP, or equivalent certifications are preferred.
Skills
- Leverage AI-powered technologies to improve threat detection, incident response, security operations, and overall operational efficiency.
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This listing is sourced directly from PubMatic's careers page and normalized into a canonical job model.