Engineering Manager, Cooperative Systems
Remote • Seattle • FullTime
Posted 4mo ago
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
OpenAI is seeking a hands-on Engineering Manager to lead a small, fast-moving team focused on building AI-powered automation systems that redefine how work is done across the company. This role is at the intersection of applied AI, research, and product engineering, where you will lead a team that builds systems capable of learning from humans and handling real workloads across various departments like sales, support, and finance. 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 the future of AI in operational work at scale.
Responsibilities
- 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.
Requirements
- 12+ years of experience in engineering.
- 3+ years of experience in engineering management.
- At least 7 years as an IC engineer.
- Hands-on builder who enjoys operating across the stack.
- Deep experience applying AI and experimenting with frontier approaches.
- Strong technical judgment across systems design, infrastructure, and full-stack development.
- Experience building developer tools, internal platforms, or workflow automation systems.
- Enjoy frequent interaction with customers and thrive in feedback-driven development loops.
- Comfortable with ambiguity and excited to operate in a rapidly evolving space.
- Experience in operationally complex environments (e.g., logistics, support systems, internal tooling, warehouse automation).