• 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.
• 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.
• Can partner effectively with research teams, translate open-ended findings into engineering plans, and communicate clearly across technical disciplines.
• Have a thoughtful management system for hiring, coaching, performance, and execution.
• Care deeply about building AI systems that are useful, trustworthy, and safe.