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Engineering Manager, Red Team

at Ashby Electrical Limited

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About the role

  • Engineering Manager building scalable tools, agents, and workflows to red-team frontier AI models. Leading FAR.AI’s engineering team to strengthen AI safety and security.

Responsibilities

  • 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

Job title

Engineering Manager

Job type

Full Time

Experience level

Mid levelSenior

Salary

$170,000 - $250,000 per year

Degree requirement

No Education Requirement

Tech skills

CloudCyber SecurityGoogle Cloud PlatformKubernetesPython

Location requirements

RemoteWorldwide

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