Engineering Manager – AI-Powered Automation

OpenAI

San Francisco (CA)

On-site

USD 401,000 - 445,000

Full time

2 days ago
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Job summary

OpenAI is seeking an Engineering Manager for Cooperative Systems in San Francisco. You will lead a small, fast-moving team building AI-powered automation systems that transform how work gets done across OpenAI.

You’ll stay hands-on while guiding architecture, collaborating with customers, and delivering scalable internal platforms. You will operate at the intersection of applied AI, research, and product engineering, shaping systems that learn from humans and handle real workloads across

Qualifications

  • 12+ years of experience in engineering
  • 3+ years of experience in engineering management
  • at least 7 years as an IC engineer
  • hands-on builder who operates across the stack

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 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

Skills

Engineering management
IC engineering
Team leadership
Full-stack engineering
AI systems

Job description

OpenAI is seeking an Engineering Manager for Cooperative Systems in San Francisco. You will lead a small, fast-moving team building AI-powered automation systems that transform how work gets done across OpenAI.

You’ll stay hands-on while guiding architecture, collaborating with customers, and delivering scalable internal platforms. You will operate at the intersection of applied AI, research, and product engineering, shaping systems that learn from humans and handle real workloads across

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