Mark Chen is the Chief Revenue Officer (CRO) of OpenAI, serving in a leadership position focused on revenue generation and commercialization strategies for the organization. Chen has been involved in key technical initiatives at OpenAI, including collaboration on advanced prompting methodologies designed to enhance model capabilities.

As Chief Revenue Officer, Chen holds responsibility for OpenAI's commercial operations and business development strategy. In this capacity, Chen has worked with researchers and engineers to develop and implement techniques that improve the practical utility of OpenAI's language models. His role bridges technical innovation and commercial application, ensuring that advanced AI capabilities developed within OpenAI can be effectively deployed and monetized.

Chen played a key role in supporting the application of prompt priming techniques to GPT-5, working alongside researcher Alex Lupsasca on this initiative ¹⁾. Prompt priming represents an advanced prompting strategy where models are guided through preparatory tasks before attempting primary objectives. In the context of GPT-5, this approach involved having the model solve related warmup problems—simpler or foundational problems in a domain—before attempting to solve previously intractable physics problems that required deeper reasoning and computational capabilities.

This technique builds on established prompting methodologies such as chain-of-thought reasoning, where intermediate steps are explicitly prompted and generated before final answers, thereby improving model performance on complex tasks ²⁾. The application of priming to domain-specific problems like physics demonstrates how strategic prompt engineering can unlock capabilities in large language models for specialized scientific reasoning.

The work with Lupsasca exemplifies how commercial and technical teams within leading AI organizations collaborate to expand model capabilities. By enabling GPT-5 to solve previously intractable problems through systematic prompt engineering, Chen's involvement contributed to demonstrating the practical value and problem-solving potential of advanced language models in specialized domains. This approach highlights the intersection of prompt engineering innovation and commercial AI strategy, where improving model performance directly supports business objectives and user value.

• OpenAI
• Greg Brockman (OpenAI Co-founder)
• Sam Altman