Senior Director, AI Security Systems

Accountabilities:

Build, lead, and scale a world-class organization of engineering managers, principal engineers, and research scientists, fostering a culture of ownership, innovation, technical excellence, and accountability.
Define and execute the long-term engineering strategy and roadmap for AI security systems, establishing measurable objectives, performance indicators, and investment priorities.
Lead the development and deployment of AI-powered security capabilities on endpoint devices, optimizing models for strict latency, memory, and computing constraints while maintaining system stability and performance.
Oversee the design and delivery of cloud-scale AI infrastructure, including distributed detection pipelines, real-time inference platforms, intelligent model routing, and GPU-efficient serving systems.
Drive the transition of autonomous AI agents into production environments, enabling advanced security investigation, threat hunting, detection engineering, incident response, and remediation capabilities.
Establish effective processes for translating cutting-edge AI research into reliable, scalable, and customer-ready products, ensuring seamless collaboration between research and engineering teams.
Define rigorous evaluation frameworks, benchmarks, and testing environments to measure detection accuracy, reliability, false-positive rates, latency, and operational costs.
Ensure AI systems are resilient against adversarial manipulation, data poisoning, prompt injection, evasion techniques, and misuse of automated tools.
Collaborate with product management, engineering, threat intelligence, security operations, and executive leadership to align technical initiatives with broader business objectives.
Communicate strategic priorities, technical decisions, progress, risks, and investment opportunities clearly to senior executives and key stakeholders.
Develop relationships with leading AI research organizations, infrastructure providers, universities, and cybersecurity communities, representing the organization through partnerships, publications, and industry events.
Requirements:
Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, or a related technical discipline. An advanced degree is preferred.
15+ years of progressive professional experience in software engineering, machine learning, or security engineering, including at least 8 years managing engineering or applied research teams and 4 years leading managers across multiple teams.
Demonstrated experience architecting, building, and operating production-grade AI or machine learning security systems, either in endpoint environments or at large cloud scale.
Strong technical understanding of modern AI technologies, including large language models (LLMs), autonomous and agentic architectures, planning, tool usage, memory management, and context optimization.
Hands-on familiarity with advanced AI training and optimization techniques, including supervised fine-tuning (SFT), reinforcement learning from human or AI feedback (RLHF/RLAIF), DPO, GRPO, model evaluation, and inference optimization.
Significant cybersecurity expertise in areas such as threat detection and response, threat hunting, malware analysis, vulnerability research, adversary tactics and techniques (MITRE ATT&CK), or security automation.
Proven experience leading teams responsible for distributed systems, high-throughput data infrastructure, real-time analytics, and GPU-based inference platforms with demanding performance, reliability, and cost requirements.
Strong organizational leadership skills, with a track record of building and scaling high-performing technical teams, developing future leaders, managing performance, and maintaining high engineering standards.
Excellent communication and executive stakeholder management skills, with the ability to translate complex technical concepts into clear strategic recommendations and drive alignment across departments.
Demonstrated ability to leverage AI technologies to improve decision-making, automate workflows, increase operational efficiency, and deliver measurable business outcomes.
Strongly preferred additional experience includes leadership within a leading cybersecurity company, experience at a frontier AI research laboratory, or expertise in adversarial machine learning and AI red teaming.
Experience developing autonomous cybersecurity systems, AI-driven offensive and defensive security capabilities, or extensible AI platforms that enable multiple teams to build and deploy intelligent applications safely at scale is an advantage.
Previous experience establishing a new research laboratory, engineering organization, or AI-focused business unit is highly valued.
Recognized technical contributions through research publications, patents, influential open-source projects, or presentations at leading AI and cybersecurity conferences (such as NeurIPS, ICML, ICLR, USENIX Security, IEEE S&P, ACM CCS, or NDSS) are considered a plus.
Benefits:
Competitive compensation: Annual base salary ranging from $235,000 to $355,000, depending on experience, qualifications, and location.
Additional compensation: Eligibility for performance-based bonuses and equity grants.
Comprehensive healthcare: Health insurance and programs supporting physical and mental well-being.
Retirement planning: Access to a 401(k) retirement savings plan.
Paid time off: Competitive vacation and leave policies to support work-life balance.
Parental support: Paid parental and adoption leave.
Professional development: Learning, training, and career development opportunities at every level.
Employee communities: Access to employee networks, regional communities, and volunteering opportunities.
Remote flexibility: Full-time remote opportunity based in the United States.
Meaningful impact: The opportunity to shape emerging AI security technologies that help protect organizations, critical infrastructure, and communities worldwide.
Innovation-driven environment: Work alongside leading AI researchers, cybersecurity experts, engineers, threat hunters, and incident response specialists.
Foundational leadership opportunity: Play a central role in shaping the structure, culture, and technical direction of a growing AI security organization.