Applied AI Engineering Manager – Internal Ops Automation

Neura Market

Seattle, Northern (WA, KY)

Hybrid

USD 180,000 - 260,000

Full time

14 days+

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Job summary

OpenAI is seeking an Engineering Manager to lead a small, fast-moving team building AI-powered automation systems used across internal operations. You will stay hands-on while guiding architecture and delivering end-to-end solutions that scale with real workload feedback.

You will collaborate with product, research, and operations daily, shaping how AI transforms work processes at scale and delivering impact across finance, sales, and IT. This role blends leadership with technical execution.

Qualifications

  • 12+ years in engineering with 3+ years in management and 7+ years as an IC.
  • Hands-on builder who operates across the stack.
  • Strong experience applying AI and frontier approaches.
  • Experience with developer tools, internal platforms, or workflow automation is a plus.

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 leadership
Full-stack development
Customer interaction
AI experience
Architecture design

Job description

OpenAI is seeking an Engineering Manager to lead a small, fast-moving team building AI-powered automation systems used across internal operations. You will stay hands-on while guiding architecture and delivering end-to-end solutions that scale with real workload feedback.

You will collaborate with product, research, and operations daily, shaping how AI transforms work processes at scale and delivering impact across finance, sales, and IT. This role blends leadership with technical execution.

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