The opportunity
The Guardian team builds practical safety and oversight systems for increasingly capable AI agents. Our goal is to make it possible for agents to take on longer-running, higher-autonomy work while preserving meaningful safeguards, respecting user intent, and intervening when…
What you'll do
Lead, hire, and develop a London-based team of engineers working across agent: safety, backend systems, applied AI, and product infrastructure.
Set the technical roadmap for Auto-review and the broader Guardian platform,: balancing safety, product utility, latency, and operational reliability.
Build production systems that evaluate agent actions in real time, detect: potentially harmful behavior, and support safe recovery or escalation paths.
Improve how oversight systems understand user intent, environmental context,: permissions, and relevant personalization signals while protecting privacy and avoiding unnecessary friction.
Partner closely with alignment researchers to turn prototypes, evaluations,: and new monitoring techniques into scalable product capabilities.
Work across Product, Security, Infrastructure, and other engineering teams to: integrate Guardian capabilities into agent experiences throughout OpenAI.
What they're looking for
- Establish rigorous evaluation and operational practices, including: adversarial testing, failure analysis, monitoring, and metrics for safety performance, false positives, latency, and user impact.
- Have significant experience leading engineering teams that shipped complex,: high-stakes production systems end to end.
- Have built with AI agents or large language models in a core product,: startup, or technically serious independent project, and understand the unique challenges of agentic systems.
- Bring strong product-engineering judgment and can navigate tradeoffs across: safety, usability, speed, and reliability.
