Director, AI Cybersecurity Specialist

Vista Equity Partners

. Lead AI SDLC security work, defining and implementing controls for AI-assisted and agentic software development .

Posted 11/12/2026full-timeRemote • United StatesLead💰 $200,000 - $280,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in AI cybersecurity, focusing on the implementation of security controls, vulnerability management, and incident response capabilities. Proven ability to lead AI transformation initiatives that enhance operational efficiency and deliver measurable business impact.

Highest-signal resume keywords

10+ Years Cybersecurity ExperienceHands-On Experience with Frontier AI ToolsStrong Coding Ability in PythonExperience Building Agentic SystemsWorking Knowledge of AI-Specific Security Risks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI SDLC SecurityVulnerability ManagementIncident Response CapabilitiesThreat HuntingDetection EngineeringAutomated RemediationSecurity Questionnaire AnalysisRisk and Threat ModelingAI Governance FunctionsOperational Efficiency

Soft Skills

Problem ReframingCommunication with ExecutivesBuilding Trust with Stakeholders

Tools & Technologies

Claude CodeCursorCodexCloud EnvironmentsCI/CDSecurity Tooling

Industry Keywords

AI Cybersecurity InitiativesAgentic SystemsCyber DiligencePrivate EquityPortfolio Operations

Tech Stack

Tools & technologies

CloudCyber SecurityPythonSDLC

About the role

Key responsibilities & impact

Lead AI SDLC security work, defining and implementing controls for AI-assisted and agentic software development
Advise on AI cybersecurity initiatives by reviewing AI rollouts, architectures, and vendor proposals
Design and implement agentic SOC and incident response capabilities, including automated investigation, enrichment, response playbooks, and escalation paths
Modernize vulnerability management with AI through automated triage, prioritization, exploitability analysis, and remediation support
Build and maintain a shared library of skills, agents, prompts, and runbooks with documentation, versioning, and training
Help portfolio companies establish secure AI governance functions, including policies, ownership, approval and review processes, and enforceable controls
Build risk and threat models for AI initiatives and turn them into prioritized controls and go/no-go guidance
Identify and deliver frontier model use cases such as code and configuration review, threat hunting, detection engineering, alert triage, security questionnaire and evidence analysis, and automated remediation
Work hands-on with portfolio company security and engineering teams from assessment and proof of concept through implementation, scale, handoff, and production validation
Quantify and report engagement outcomes, including efficiency gains, cost savings, and cyber-posture improvements
Evaluate AI security platforms, models, and vendors while maintaining vendor independence
Support AI-related cyber diligence on M&A transactions as needed
Track the evolving AI threat landscape and translate it into practical portfolio guidance

Requirements

What you’ll need

10+ years of general cybersecurity experience
AI transformation stories demonstrating end-to-end delivery, lessons learned, and measurable savings
Track record of building AI-native capabilities that drove operational efficiency and measurable bottom-line impact
2+ years of hands-on, production use of frontier AI tools such as Claude Code, Cursor, or Codex
Demonstrated experience applying frontier and advanced models to security problems including vulnerability analysis, detection engineering, investigation, or remediation
Experience building agentic systems for security use cases, including orchestration, tool use, memory, evaluation, guardrails, and human-in-the-loop design
Experience packaging work as reusable skills, agents, plugins, or runbooks adopted by other teams
Working knowledge of AI-specific security risks and frameworks, including prompt injection, agent identity and permissions, model supply chain, and secure agentic SDLC practices
Strong coding ability in Python or a comparable language
Familiarity with cloud environments, CI/CD, and modern security tooling
Ability to reframe problems, prioritize across many companies, and tie AI opportunities to business value, risk reduction, and dollars saved
Ability to communicate credibly with executives and staff and build trust with CISOs, CTOs, and practitioners
Experience in private equity, portfolio operations, consulting, or multi-company environments is preferred

Benefits

Comp & perks

Annual cash bonus
Comprehensive benefits package