OpenAI Executive and Leadership Team

Sarah Friar, the Chief Financial Officer at OpenAI, directs the global financial strategy and capital allocation for the organization. Managing the fiscal health of the company, the Chief Financial Officer oversees long-term investment in research and development for large language models. This leadership role involves balancing the high costs of compute infrastructure with the need for sustainable growth in the competitive AI sector. By optimizing resource distribution, Sarah Friar ensures the company maintains the necessary runway to pursue advanced AI safety and alignment research. The Chief Financial Officer collaborates with the Board to evaluate market opportunities and financial risks associated with the deployment of multimodal AI technologies. Through rigorous financial planning, Friar supports the broader mission of scaling reliable AI systems for enterprise and individual users across international markets, ultimately securing the financial foundation required for future innovation.

Yumiko Numata, the Executive Business Partner to President (Japan) at OpenAI, directs the operational strategy and market engagement within the Japanese region. Overseeing the integration of AI technologies into local enterprise and educational sectors, the Executive Business Partner to President (Japan) ensures that the company's products meet the specific needs of the regional market. This role involves coordinating with local stakeholders to facilitate the deployment of conversational assistants and coding tools while maintaining strict adherence to safety and alignment protocols. By managing the operational scale of the regional office, Yumiko Numata supports the broader mission of expanding access to advanced AI systems. The Executive Business Partner to President (Japan) works closely with the President to translate global research goals into actionable local initiatives. Through these efforts, Numata drives the adoption of reliable AI solutions, strengthening the company's presence and impact within the competitive landscape of the Asia-Pacific region.

Matthew Chin, the Chief Revenue Officer, Visual Storytelling & Innovation Lead, Office of at OpenAI, drives the commercialization strategy for advanced AI products. Overseeing the expansion of the API platform and enterprise automation tools, the Chief Revenue Officer, Visual Storytelling & Innovation Lead, Office of connects cutting-edge research with practical business applications. This role involves architecting revenue streams through strategic partnerships and product adoption across diverse industries. By focusing on visual storytelling and innovation, Matthew Chin translates complex AI capabilities into accessible solutions for global developers and businesses. The Chief Revenue Officer, Visual Storytelling & Innovation Lead, Office of manages the go-to-market execution, ensuring that the deployment of conversational assistants and coding tools aligns with market demand. Through these efforts, Chin maximizes the impact of the company's technology, fostering widespread adoption while maintaining the high standards of reliability and safety central to the organizational mission.

Arvind Kc, the Chief People Officer at OpenAI, directs the talent acquisition, organizational culture, and human capital development strategies. Overseeing the recruitment of top-tier researchers and engineers, the Chief People Officer ensures the company attracts the expertise necessary to build safe and reliable AI systems. This leadership role involves fostering an environment of responsible innovation and transparency, which remains critical for the development of artificial general intelligence. By implementing robust performance management and professional development programs, Arvind Kc supports the growth of the workforce across global operations. The Chief People Officer collaborates with other C-suite leaders to align organizational structure with the company's mission of benefiting humanity. Through strategic workforce planning, Kc maintains the high-performance culture required to sustain the rapid pace of AI research and deployment, ensuring that the team remains focused on safety, alignment, and ethical standards in every project.