$5,55,000 plus equity: OpenAI is hiring a head of preparedness: Here's what the role involves

OpenAI is actively recruiting for a Head of Preparedness to join its San Francisco team, offering an impressive salary of $555,000 plus equity. This strategic role is part of OpenAI's Safety Systems division, which focuses on the responsible development and deployment of advanced AI models. The Safety Systems team is tasked with creating evaluations, safeguards, and safety frameworks that ensure AI models operate as intended in real-world scenarios. With a significant investment in preparedness for cutting-edge AI models, OpenAI has developed core capability evaluations and threat models to mitigate potential risks. As the capabilities of these models evolve, ensuring robust safety measures has become an essential priority. The incoming Head of Preparedness will play a crucial role in advancing and overseeing OpenAI's preparedness strategy, which is vital for identifying and managing emerging risks associated with new AI capabilities. This position entails leading the technical strategy and execution of the preparedness framework, which focuses on building and coordinating evaluations and threat models to create a cohesive and scalable safety pipeline. Candidates for this role should possess strong technical judgment, effective communication skills, and the ability to navigate complex tasks across various risk domains. The selected individual will lead a specialized team dedicated to core preparedness research, collaborating closely with other teams within Safety Systems to ensure comprehensive implementation of the preparedness framework. Key responsibilities include developing precise and scalable frontier capability evaluations, overseeing mitigation strategies for significant risks such as cyber and biological threats, and interpreting evaluation results to inform critical decisions around product launches and safety policies. As new risks and capabilities arise, the Head of Preparedness will be required to continuously refine and adapt the safety framework, working alongside research, engineering, product, and external partners to integrate these measures into practical deployments.