The opportunity
We’re looking for an engineering manager to lead a team building software systems that detect and prevent harmful misuse of frontier AI models—before incidents occur. This is a builder’s role: you’ll lead engineers shipping production services, detection pipelines, and…
What you'll do
Lead a team of software engineers building detection + mitigation systems for: frontier model misuse, with an emphasis on model IP protection / distillation detection and emerging risk surfaces from autonomous agents.
Set the technical roadmap and execution strategy: prioritize, design, ship, iterate, measure impact.
Build production systems: services, pipelines, tooling, instrumentation, and automation that scale with frontier model usage.
Partner deeply with Research and Product to translate evolving model: capabilities into concrete tests, signals, and mitigations that can be deployed at scale.
Drive strong engineering fundamentals: architecture, reliability, monitoring, performance, and operational excellence.
Hire and grow an exceptional team across backend, data systems, and applied ML engineering domains as needed.
What they're looking for
- Anticipate what breaks at scale as agentic workflows become more capable.
- Experience building systems in adversarial, fast-evolving environments
- Are comfortable with ambiguity and novelty
- Have experience adjacent to security (e.g., abuse prevention, fraud,: integrity, platform defense, auth/identity, malware/spam, adversarial environments)
