Director, AI Cybersecurity Specialist

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee security efforts in the AI Software Development Life Cycle (SDLC), establishing and executing controls for AI-driven and autonomous software development.

• Provide guidance on AI cybersecurity initiatives by assessing AI deployments, system architectures, and vendor proposals.

• Create and implement agentic Security Operations Center (SOC) and incident response capabilities, including automated investigations, enrichment processes, response playbooks, and escalation procedures.

• Enhance vulnerability management through AI by automating triage, prioritization, exploitability assessments, and remediation support.

• Develop and sustain a centralized repository of skills, agents, prompts, and runbooks, complete with documentation, version control, and training resources.

• Assist portfolio companies in establishing secure AI governance frameworks, which encompass policies, ownership structures, approval and review processes, and enforceable controls.

• Construct risk and threat models for AI projects, translating them into prioritized controls and go/no-go recommendations.

• Identify and execute advanced model use cases, including code and configuration reviews, threat hunting, detection engineering, alert triage, security questionnaire and evidence analysis, and automated remediation.

• Collaborate closely with security and engineering teams of portfolio companies from assessment and proof of concept stages through implementation, scaling, handoff, and production validation.

• Measure and report on the outcomes of engagements, highlighting efficiency improvements, cost savings, and enhancements in cyber posture.

• Assess AI security platforms, models, and vendors while ensuring vendor neutrality.

• Assist with AI-related cybersecurity due diligence for mergers and acquisitions as required.

• Monitor the evolving landscape of AI threats and convert it into actionable guidance for the portfolio.

⛳️ Requirements

• A minimum of 10 years of experience in general cybersecurity.

• Proven AI transformation experiences that showcase end-to-end delivery, lessons learned, and quantifiable savings.

• A strong history of developing AI-native capabilities that lead to operational efficiency and measurable impact on the bottom line.

• At least 2 years of hands-on experience with frontier AI tools, such as Claude Code, Cursor, or Codex in production settings.

• Demonstrated experience utilizing frontier and advanced models to address security challenges, including vulnerability analysis, detection engineering, investigation, or remediation.

• Experience in developing agentic systems tailored for security applications, incorporating orchestration, tool utilization, memory management, evaluation, guardrails, and human-in-the-loop design.

• Proven ability to package work into reusable skills, agents, plugins, or runbooks that are adopted by other teams.

• Familiarity with AI-specific security risks and frameworks, including prompt injection, agent identity and permissions, model supply chain, and secure agentic SDLC practices.

• Strong programming skills in Python or a similar language.

• Knowledge of cloud environments, CI/CD processes, and contemporary security tools.

• Capability to redefine problems, prioritize across multiple companies, and link AI opportunities to business value, risk mitigation, and cost savings.

• Effective communication skills to engage with executives and staff, fostering trust with CISOs, CTOs, and practitioners.

• Experience in private equity, portfolio operations, consulting, or multi-company environments is preferred.

🏝️ Benefits

• Annual cash bonus.

• Comprehensive benefits package.