About the job
The Cooperative AI group at OpenAI develops model-driven automation and knowledge systems that work alongside human teams. Using both existing and emerging OpenAI technologies, the group creates systems capable of autonomous reasoning and handling a variety of operational tasks. These efforts focus on real-world challenges in areas such as finance, sales, customer support, product insights, and internal operations.
Projects in this group inform OpenAI's product direction and contribute to broader industry understanding. The team collaborates closely with internal partners and global customers, maintaining a feedback loop that enables quick iteration and real-time validation of their work. Team members bring diverse backgrounds and operate with a high degree of independence, all working toward improving large-scale collaboration between people and AI.
Role overview
OpenAI is seeking an Engineering Manager to lead the Cooperative Systems team in Seattle. This role focuses on developing AI-driven automation systems that support operational work throughout the company. The position blends applied AI, research, and product engineering, offering a mix of leadership and hands-on technical challenges.
The Engineering Manager will guide a team building systems that learn from human interaction and manage real workloads in domains like sales, support, finance, and IT. Responsibilities include deploying these systems to internal users, gathering feedback, and refining solutions rapidly. The role is suited for someone who wants significant ownership and enjoys collaborating with customers to drive meaningful change in operational work.
Key responsibilities
- Lead and grow a small team focused on applied AI systems for internal operations.
- Design and build AI-powered automation systems in partnership with customers.
- Stay directly involved in architecture and implementation across the stack.
- Create adaptive systems, including developer tools, automation platforms, knowledge graphs, and data management solutions.
- Deploy systems to internal users and use their feedback to improve solutions.

