TL;DR

Director, Internal Threat Intelligence and Detection Engineering (AI): Leading and evolving %hirify_global%'s threat intelligence and detection engineering strategies with an accent on protecting enterprise infrastructure and product environments from sophisticated adversaries. Focus on developing intelligence capabilities, building detection engineering pipelines, and leveraging AI/LLM for enhanced threat detection and secure AI operations.

Location: Remote, Eastern & Central US

Company

%hirify_global% is a global leader in cybersecurity, protecting organizations with the world's most advanced AI-native platform.

What you will do

Lead and evolve %hirify_global%'s threat intelligence and detection engineering strategies.
Drive operational excellence in intelligence collection, analysis, and detection engineering processes.
Develop and execute the technical roadmap for intelligence-driven detection engineering pipelines and automation frameworks.
Build and mentor high-performing teams across threat intelligence and detection engineering disciplines.
Partner with incident response teams to ensure delivery of actionable intelligence and effective detection capabilities.
Drive strategy and implementation of AI/LLM security controls and leverage AI/LLM capabilities for enhanced threat detection.

Requirements

12+ years of experience in cybersecurity, with significant focus on threat intelligence and detection engineering.
8+ years of leadership experience managing multiple teams and managers in security operations, threat intelligence, or detection engineering roles.
Proven track record of building and scaling threat intelligence programs and detection engineering capabilities.
Deep understanding of adversary tactics, techniques, and procedures (TTPs).
Strong technical background in security tooling, SIEM technologies, and detection engineering principles.
Understanding of AI/LLM security implications and experience with security controls and governance frameworks for AI/LLM systems.

Nice to have

Experience with cloud security and cloud-native detection engineering.
Background in incident response or security operations.
Knowledge of machine learning applications in security, including hands-on experience securing generative AI platforms or LLM deployments.
Familiarity with AI/LLM security standards and best practices (e.g., OWASP for LLMs, NIST AI Risk Management Framework).

Culture & Benefits

Remote-friendly and flexible work culture.
Market leader in compensation and equity awards.
Comprehensive physical and mental wellness programs.
Competitive vacation and holidays, paid parental and adoption leaves.
Professional development opportunities for all employees.
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections.