Engineering Manager

About the Team

The Cooperative AI team is scaling OpenAI with OpenAI.

We are building a model-powered scaled automated workforce and knowledge system that evolves and learns alongside a human workforce. By leveraging OpenAI’s state-of-the-art models and technologies, some already in production, others still in the lab, we develop systems that reason and work autonomously for a wide variety of operational work.

We leverage real workloads for critical systems across finance, sales, customer support, integrity, product insights, internal operations, and more in order to drive insights into product and industry. We partner closely with internal teams and external customers globally, operating in a hyper-fast feedback loop where many of our users are just a few steps away. This proximity allows us to iterate quickly, validate impact in real time, and accelerate industry impacting learnings and systems builds.

We are a highly multidisciplinary, self-contained team focused on transforming the workplace via smart systems, knowledge, scalable and reliable primitives that apply world-class AI capabilities across domains. Our mission is to learn fast and transform how humans collaborate with AI at scale.

About the Role

We are looking for a hands-on Engineering Manager to lead a small, fast-moving team building AI-powered automation systems that redefine how work gets done across OpenAI.

This role sits at the intersection of applied AI, research, and product engineering. You’ll lead a team that builds systems that know how to learn from humans, and carry real workloads across, sales, support, finance, IT, and more, while staying deeply involved in the technical work.

You will operate in a highly iterative environment, deploying systems directly to internal users, gathering rapid feedback, and evolving solutions in real time.

This is a high-ownership role for someone excited about building 0→1 systems, working closely with customers, and shaping how AI transforms operational work at scale.

What You’ll Do

• Lead and grow a small team building applied AI systems for internal operations
• Design and build AI-powered automation systems in close proximity to customers
• Stay hands-on in architecture and implementation across the full stack
• Develop evolving systems spanning developer tools, automation platforms, knowledge graphs, and data systems
• Deploy systems directly to internal users and close customers to iterate rapidly based on real-world feedback
• Engage frequently with scaled workforces to understand needs and validate solutions
• Create systems for visibility and learning in hybrid workforces
• Partner with product, research, and ops teams daily