Engineering Manager, Red Team

Job not on LinkedIn

🔥 0 minutes ago

🌏 Anywhere in the World

💵 $170k - $250k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♀️ Software Engineering Manager

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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FAR.AI

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

🤖 Artificial Intelligence

📚 Education

🤝 Non-profit

Artificial Intelligence • Education • Non-profit

FAR. AI is a research and education non-profit organization focused on ensuring advanced artificial intelligence is safe and beneficial for everyone. It conducts technical research on robustness, deception, interpretability, and evaluation of frontier AI systems, runs events and workshops that convene academic and industry leaders, and operates programs (like FAR. Labs and grantmaking) to support researchers and build capacity in trustworthy AI. FAR. AI also publishes findings, provides training and policy-facing convenings, and collaborates with universities and agencies to advance secure, aligned AI.

📋 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