About this role
The Cooperative AI team is building a model-powered scaled automated workforce and knowledge system that evolves and learns alongside a human workforce. Leaders on this team guide a small, fast-moving group focused on transforming the workplace through smart systems, knowledge primitives, and applied AI capabilities across various operational domains.
The incoming engineering manager spends time designing and building AI-powered automation systems while remaining hands-on with architecture and implementation across the full stack. Candidates who succeed here bring strong technical judgment, enjoy frequent interaction with customers, and thrive in feedback-driven development loops within operationally complex environments.
What you will 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.
What you need
- Have 12+ years of experience in engineering, including 3+ years of experience in engineering management, and at least 7 years as an IC engineer.
- Demonstrate ability as a hands-on builder who enjoys operating across the stack.
- Bring deep experience applying AI and readiness to experiment with frontier approaches.
- Possess strong technical judgment across systems design, infrastructure, and full-stack development.
- Have prior experience building developer tools, internal platforms, or workflow automation systems.
- Show comfort with ambiguity and the ability to operate in a rapidly evolving space.
- Bring experience in operationally complex environments such as logistics, support systems, internal tooling, or warehouse automation.
Benefits
- Offers Equity
Questions candidates ask
What is the salary range for this position?
The salary range for this role is $401K – $445K. The compensation package also includes offers for equity.
Where is the job located?
This position is located in San Francisco. The team partners closely with internal teams and external customers globally.
What kind of background is required for the role?
Candidates need 12+ years of experience in engineering, including 3+ years of experience in engineering management, and at least 7 years as an IC engineer. Applicants should also have deep experience applying AI and building developer tools or workflow automation systems.
What will I actually be working on?
You will lead a small team building applied AI systems for internal operations across sales, support, finance, IT, and more. The work involves staying hands-on in full-stack architecture, developing knowledge graphs and automation platforms, and deploying systems directly to internal users.