Lead, Applied AI & Automation Engineering

Precision Labs; San Francisco, Northern (CA, KY); Hybrid; USD 180,000 - 320,000; Full time

Job summary

OpenAI is seeking a hands-on Engineering Manager to lead a small, fast-moving team building AI-powered automation systems that redefine how work gets done across OpenAI.

You’ll operate at the intersection of applied AI, research, and product engineering, and carry real workloads while staying deeply involved in the technical work. You will deploy systems to internal users and close customers to iterate rapidly based on real-world feedback.

Qualifications

• 12+ years of engineering experience with 3+ years in engineering management and 7+ years as an IC engineer.
• Hands-on builder who operates across the stack and enjoys solving complex problems.
• Strong technical judgment across systems design, infrastructure, and full-stack development.

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 customers to iterate rapidly based on real-world 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 ops teams daily

Skills

Engineering leadership

Hands-on builder

Customer interaction

Ambiguity tolerance

Tools

AI frameworks

Full-stack architecture

Developer tools

Job description

OpenAI is seeking a hands-on Engineering Manager to lead a small, fast-moving team building AI-powered automation systems that redefine how work gets done across OpenAI.

You’ll operate at the intersection of applied AI, research, and product engineering, and carry real workloads while staying deeply involved in the technical work. You will deploy systems to internal users and close customers to iterate rapidly based on real-world feedback.