Engineering Manager (Red Team)

Responsibilities

• Build and scale internal and external red-teaming tools and products
• Develop agentic red-teaming systems to automatically explore attack spaces
• Manage, mentor, and support a growing team of red-teaming engineers
• Plan sprints and lead engineering execution
• Contribute to the overall technical and product strategy of the red team
• Partner with frontier labs and governments to translate technical findings into real-world impact

Requirements

• Strong track record in software engineering, AI, or computer engineering (e.g., cybersecurity, MLOps)
• Proven experience managing, growing, and leading technical teams
• Experience with Python, LLM APIs (OpenAI, Anthropic, Google), and local LLM frameworks
• Experience with cloud infrastructure (GCP) and compute clusters (Kubernetes, Slurm)
• Ability to communicate technical solutions to both technical and non-technical audiences
• Thriving in rapidly evolving, mission-driven environments

Preferred Qualifications

• Experience building or red-teaming frontier LLMs or agentic systems
• Experience building technical teams in an entrepreneurial environment
• Demonstrated ability to discover high-severity vulnerabilities in complex systems
• Published work in AI safety, security, or robustness

About the Company

FAR.AI is a non-profit AI research institute dedicated to ensuring advanced AI is safe and beneficial for everyone. The Red Team works to raise the bar for safety and security of the most widely deployed and capable AI systems in the world through rigorous testing and strategic engagements.