About the RoleWe 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 01 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
You Might Thrive in This Role If You- Have 12+ years of experience in engineering, including 3+ years of experience in engineering management, and at least 7 years as an IC engineer
- Are a hands-on builder who enjoys operating across the stack
- Have deep experience applying AI, and are ready to experiment with frontier approaches
- Bring strong technical judgment across systems design, infrastructure, and full-stack development
- Have built developer tools, internal platforms, or workflow automation systems
- Enjoy frequent interaction with customers and thrive in feedback-driven development loops
- Are comfortable with ambiguity and excited to operate in a rapidly evolving space
- Have experience in operationally complex environments (e.g., logistics, support systems, internal tooling, warehouse automation, etc.)
