AI Security Systems Director — Lead Autonomous Defense

Jobgether; United States; A distancia; USD 235.000 - 355.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Remote flexibility: US-based

Healthcare benefits

401(k) retirement plan

Professional development

Descripción de la vacante

Jobgether seeks a Senior Director to lead AI security systems, guiding a multidisciplinary team across AI research, security engineering, and operations in the United States. You will shape long-term strategy, build secure AI-powered defenses, and drive production-ready solutions for endpoint and cloud environments.

The role emphasizes strong leadership, strategic communication, and collaboration with product, threat intelligence, and executive teams to deliver high-impact security capabilities

Formación

• 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.

Responsabilidades

• 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.

Descripción del empleo

Jobgether seeks a Senior Director to lead AI security systems, guiding a multidisciplinary team across AI research, security engineering, and operations in the United States. You will shape long-term strategy, build secure AI-powered defenses, and drive production-ready solutions for endpoint and cloud environments.

The role emphasizes strong leadership, strategic communication, and collaboration with product, threat intelligence, and executive teams to deliver high-impact security capabilities