What you'll be doing

• Lead, hire, and develop a London-based team of engineers focused on 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 oversight systems to better understand user intent, environmental context, permissions, and personalization signals while protecting privacy and minimizing friction.
• Partner closely with alignment researchers to translate research prototypes and new monitoring techniques into scalable product capabilities.
• Collaborate across Product, Security, Infrastructure, and other engineering teams to integrate Guardian capabilities into agent experiences throughout OpenAI.
• Establish rigorous evaluation and operational practices including adversarial testing, failure analysis, monitoring, and metrics for safety performance, false positives, latency, and user impact.

Requirements

• Significant experience leading engineering teams that shipped complex, high-stakes production systems end to end.
• Experience building with AI agents or large language models in core products, startups, or technically serious independent projects, with understanding of agentic system challenges.
• Strong product-engineering judgment capable of navigating tradeoffs among safety, usability, speed, and reliability.
• Ability to partner effectively with research teams and translate open-ended findings into engineering plans, communicating clearly across technical disciplines.
• Thoughtful management approach to hiring, coaching, performance, and execution.
• Deep commitment to building AI systems that are useful, trustworthy, and safe.