Director of Engineering (AI security)

Our client is a fast-growing cybersecurity and artificial intelligence company focused on securing the next generation of AI technologies. As organizations rapidly adopt AI models, large language models (LLMs), and autonomous AI agents, new security challenges are emerging that traditional cybersecurity solutions were never designed to address. The company has developed a purpose-built platform that helps organizations identify, secure, test, and monitor AI systems throughout their lifecycle. Their technology protects against evolving threats such as prompt injection, model exploitation, AI supply chain risks, adversarial attacks, and unsafe agent behavior. Working with enterprises across highly regulated industries, they are helping organizations innovate with AI while maintaining trust, security, and compliance.

Why Join Us

• Join a category-defining company at the forefront of AI security, one of the fastest-growing segments in cybersecurity.
• Play a key role in shaping how organizations securely adopt AI, LLMs, and autonomous agents.
• Work alongside industry-leading experts in artificial intelligence, cybersecurity, and software engineering.
• Help solve complex, high-impact challenges that directly affect Fortune 500 companies, healthcare organizations, financial institutions, and government agencies.
• Influence product strategy, technical vision, and organizational growth during a period of rapid expansion.
• Be part of a well-funded organization with strong market momentum and a commitment to innovation, collaboration, and technical excellence.

About the Opportunity

Our client is a rapidly growing cybersecurity and artificial intelligence company focused on protecting AI systems from emerging threats and adversarial attacks. Founded by experienced AI and security professionals, the organization has developed innovative solutions that help enterprises adopt AI technologies securely and responsibly. The company has earned significant industry recognition for its innovation and leadership in AI security and continues to expand its impact across highly regulated and mission-critical industries.

Responsibilities

• Engineering Leadership & Oversight
  • Oversee the performance and output of multiple engineering teams, ensuring projects are executed effectively and aligned with business goals.
  • Provide guidance and mentorship to engineering managers and senior technical staff.
• Strategic Planning & Vision
  • Collaborate with executive leadership to develop engineering strategy and long-term roadmaps.
  • Lead the evolution of systems and processes through an ongoing agentic AI transformation.
• Project Management & Execution
  • Manage large-scale, complex engineering initiatives, ensuring delivery on time, within scope, and with high quality.
  • Oversee project prioritization, resource allocation, and risk management activities.
• Technical Innovation & Excellence
  • Drive innovation in technology and engineering processes, with a focus on AI-driven development and agentic loop engineering.
  • Foster a culture of continuous improvement, technical excellence, and experimentation.
• Cross-Functional Collaboration
  • Partner with product, design, operations, and other business functions to ensure alignment and successful execution of strategic initiatives.
  • Serve as a key liaison between engineering and business stakeholders.
• Team Development & Mentorship
  • Build, scale, and develop engineering talent.
  • Mentor senior technical leaders and engineering managers, supporting their growth in both leadership and technical capabilities.
• Performance Metrics & Reporting
  • Establish and measure key performance indicators (KPIs) for engineering teams.
  • Provide regular updates and reporting to executive leadership on performance, progress, and risks.
• Process Optimization
  • Continuously improve engineering workflows, development processes, and tooling to increase efficiency and productivity.
  • Implement best practices around Agile development, quality assurance, CI/CD, and DevOps.
• Risk Management & Problem Solving
  • Identify technical risks proactively and drive mitigation strategies.
  • Lead resolution efforts for complex technical and organizational challenges.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred.
• 10+ years of experience in software engineering or related technical disciplines.
• 5+ years of engineering leadership experience, ideally at the Director or Senior Manager level.
• Proven experience leading multiple engineering teams and delivering highly complex, high-impact initiatives.
• Strong technical background in software development, systems architecture, cloud technologies, and modern engineering practices.
• Excellent leadership, communication, and strategic planning skills with the ability to align technical initiatives to business objectives.
• Experience with Agile methodologies, continuous integration, continuous delivery, and DevOps practices.
• Strong analytical and problem-solving abilities with experience managing complex technical challenges.
• Ability to collaborate effectively with executive leadership and non-technical stakeholders.

Skills

• Director-level engineering leadership
• AI/Cybersecurity product environment
• Agentic AI transformation
• Multi-team leadership
• Strategic roadmap ownership

Pay

$250,000 - $350,000 per year + Equity

Schedule

Fully Remote