Engineering Manager, Red Team

Job Description: - Serve as senior technical owner of engineering for FAR.AI’s Red Team

• Build and scale a red-teaming engine encompassing tooling, products, services, evaluations, agents, and self-improving workflows
• Build and scale internal and external red-teaming tools and products to improve speed, coverage, and severity of findings
• Develop agentic systems to systematically explore attack spaces
• Develop agentic systems to identify new public jailbreaks and releases and integrate them into internal systems
• Advance attacker simulation and output harmfulness evaluation
• Maintain and evolve vulnerability databases, statistical analysis tools, and reporting infrastructure
• Build systems supporting high-stakes red-teaming engagements with frontier AI companies and governments
• Support public reports, benchmarks, and leaderboards that influence industry norms
• Contribute to red-teaming closed- and open-weight frontier models
• Build broadly accelerating agentic workflows for the red team
• Manage, mentor, and support a growing team of red-teaming individual contributors
• Plan sprints and lead engineering execution
• Mentor red team ICs through direct one-to-one support and reusable growth resources
• Set standards and priorities and create paths for rapid team growth
• Create processes for high-tempo engagements without sacrificing quality
• Design and manage hiring pipelines for the engineering team
• Contribute to red-team technical and product strategy
• Partner with the division to translate technical ideas and findings into real-world impact
• Report to Kellin Pelrine with a dotted line to Edward Yee

Requirements: - Strong track record in software engineering, AI, or another computer engineering discipline such as cybersecurity or MLOps

• Strong track record of managing, growing, and leading technical teams
• Experience with coding agents such as Claude Code, Codex, or Cursor
• Experience with Python
• Experience with LLM APIs such as OpenAI, Anthropic, or Google
• Experience with local LLM frameworks such as vLLM
• Experience with evaluation frameworks such as Inspect
• Experience with LLM agents such as OpenClaw
• Experience with cloud infrastructure such as GCP
• Experience with compute clusters such as Kubernetes or Slurm
• Experience thriving in rapidly evolving environments
• Demonstrated drive for mission and impact on frontier AI systems
• Ability to communicate technical solutions to technical and non-technical audiences
• Demonstrated relentlessness in achieving ambitious goals
• Leadership experience
• Willingness to perform hands-on coding and engineering, especially during the first 6 months
• Willingness to participate in team building and hiring
• Timezone flexibility
• Full-time availability, 40 hours/week
• Experience building or red-teaming frontier LLMs or agentic systems is a plus, not required
• Experience building technical teams and products in an entrepreneurial environment is a plus, not required
• Experience discovering non-obvious, high-severity vulnerabilities in complex systems is a plus, not required
• Hands-on experience in adversarial ML or security is a plus, not required
• Prior collaboration with AI labs, security teams, or government safety institutes is a plus, not required
• Published work in AI safety, security, or robustness is a plus, not required

Benefits: - Additional compensation may be available for exceptional candidates

• Work-related travel expenses covered
• Work-related equipment expenses covered
• Catered lunch and dinner at FAR.AI offices in Berkeley
• Visa sponsorship for the USA or Singapore