Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
Customer Support
Engineering Management @ 7
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
The Cooperative AI team is building a model-powered, scaled automated workforce and knowledge system that evolves and learns alongside a human workforce. The team develops systems that reason and work autonomously across operational areas including finance, sales, customer support, integrity, product insights, and internal operations.
This role involves leading a small, fast-moving team building AI-powered automation systems for internal operations. The position sits at the intersection of applied AI, research, and product engineering, with close collaboration with internal teams, external customers, product, research, and operations teams.
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 with architecture and implementation across the full stack.
- Develop systems spanning developer tools, automation platforms, knowledge graphs, and data systems.
- Deploy systems directly to internal users and customers, iterating 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 daily with product, research, and operations teams.
Requirements
- 12+ years of engineering experience, including 3+ years of engineering management experience and at least 7 years as an individual contributor engineer.
- Experience as a hands-on builder working across the stack.
- Deep experience applying AI and willingness to experiment with frontier approaches.
- Strong technical judgment across systems design, infrastructure, and full-stack development.
- Experience building developer tools, internal platforms, or workflow automation systems.
- Comfort with frequent customer interaction and feedback-driven development loops.
- Ability to work effectively with ambiguity in a rapidly evolving environment.
- Experience in operationally complex environments such as logistics, support systems, internal tooling, or warehouse automation.
Benefits
- Base pay of $325,000–$385,000 per year, plus equity.
- Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
- Pre-tax Flexible Spending Accounts and commuter benefits.
- 401(k) retirement plan with employer match.
- Paid parental, medical, and caregiver leave.
- Paid time off, paid holidays, office closures, and paid sick or safe time.
- Mental health and wellness support.
- Employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily office meals and eligible meal delivery credits.
- Relocation support for eligible employees.
- Additional benefits may include charitable donation matching and wellness stipends.
More jobs at OpenAI
Analytics Engineer, GTM
OpenAI · New York City, United States, San Francisco, United States
USD 220,000-335,000 per year
Cyber Operations Strategist, Critical Harm Operations
OpenAI · Toronto, Canada
CAD 140,000-188,000 per year
Product Manager, Multimodal Safety
OpenAI · San Francisco, United States
USD 293,000-325,000 per year
Forward Deployed Engineer (FDE), Legal - New York City
OpenAI · New York City, United States, San Francisco, United States
USD 162,000-280,000 per year
Product Manager, Learning
OpenAI · San Francisco, United States
USD 293,000-385,000 per year
Similar jobs
Manager, Solution Engineering for NVIDIA Experience
Nvidia · Santa Clara, United States
USD 200,000-391,000 per year
Engineering Manager, Agent Runtime Platform
Anthropic · New York City, United States, San Francisco, United States
USD 405,000-485,000 per year
Staff Machine Learning Engineer, Community Support Engineering
Airbnb · United States, San Francisco, United States
USD 212,000-260,000 per year
Systems Software Engineer - AI and Cloud
Nvidia · Santa Clara, United States
USD 124,000-241,500 per year
People Systems Lead
OpenAI · San Francisco, United States
USD 239,000-295,000 per year
Support Program Manager, Partnerships
OpenAI · San Francisco, United States
USD 216,000-240,000 per year
Senior Solution Engineer, Networking
Nvidia · Santa Clara, United States
USD 168,000-322,000 per year
Engineering Manager, Deep Learning Inference
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year