Engineering Manager – Cooperative Systems

OpenAI

San Francisco (CA)

Hybrid

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Jobtailor is seeking an experienced engineering leader to head a small team building applied AI systems for internal operations. You will design AI-powered automation closely with customers and stay hands-on across the full stack, developing systems that span developer tools, automation platforms, knowledge graphs, and data architectures.

You will deploy to internal users and customers to rapidly iterate on real-world feedback, while collaborating daily with product, research, and operations in

Qualifications

12+ years of engineering experience.
3+ years in engineering management.
At least 7 years as an IC engineer.
Hands-on building experience across the stack.
Deep experience applying AI.
Strong judgment across systems design, infra, and full-stack development.
Experience building developer tools, internal platforms, or workflow automation.
Experience interacting with customers and feedback-driven development.
Comfort with ambiguity and evolving environments.
Operational complexity in environments like logistics, support systems, internal tooling, or warehouse automation.

Responsibilities

Lead and grow a small team building applied AI systems for internal operations.
Design and build AI-powered automation systems close 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 to internal users and customers to iterate rapidly based on feedback.
Engage with scaled workforces to understand needs and validate solutions.
Create systems for visibility and learning in hybrid workforces.
Partner with product, research, and operations teams daily.

Skills

Hands-on full-stack development

Engineering management

Customer engagement

Technical judgment

Job description

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 operations 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 building experience across the stack
Deep experience applying AI
Strong technical judgment across systems design, infrastructure, and full-stack development
Experience building developer tools, internal platforms, or workflow automation systems
Experience interacting frequently with customers and working in feedback-driven development loops
Comfort with ambiguity and rapidly evolving environments
Experience in operationally complex environments, such as logistics, support systems, internal tooling, or warehouse automation
Ability to work from the US office three days per week

Core Competencies

Demonstrates extensive experience in engineering management and hands-on full-stack development, with a strong focus on building AI-powered automation systems and developer tools. Proven ability to lead teams in operationally complex environments while engaging with customers to iterate on solutions.

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