Engineering Manager – Cooperative Systems

Jobtailor; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

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.

Highest-signal resume keywords

• AI Application Development
• Full-Stack Development
• Engineering Management
• Developer Tools Creation
• Customer Engagement

ATS Optimization Keywords

Hard Skills

• AI Systems Design
• Automation Systems Development
• Systems Architecture
• Infrastructure Design
• Feedback-Driven Development
• Internal Tooling
• Workflow Automation
• Data Systems Development
• Knowledge Graphs
• Operational Complexity Management

Soft Skills

• Technical Judgment
• Comfort with Ambiguity
• Team Leadership
• Collaboration
• Adaptability

Industry Keywords

• Logistics
• Support Systems
• Warehouse Automation
• Internal Platforms
• Hybrid Workforces