Engineering Manager, AI Model Platform & Deployment

OpenAI

California (MO)

On-site

USD 170,000 - 210,000

Full time

14 days+

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Job summary

OpenAI is seeking a senior engineering leader to unify and scale the ChatGPT model harness, context management, and system prompt frameworks. You will drive multi-tier model experiences, automate guardrails for experiments, and oversee rollout, capacity, and health monitoring across AI-backed services.

Ideal candidates have proven success shipping production systems at scale, deep knowledge of model-driven development, and strong cross‑functional collaboration with research, product, and

Qualifications

  • Proven experience leading engineering teams in complex, cross-functional environments.
  • Successful shipping of production systems at scale, ideally for AI or large backend services.
  • Deep understanding of model-driven product development, deployment lifecycle, and measurement tooling.
  • Excellent communication and collaboration with engineering, research, and product stakeholders.
  • Prior involvement with large language models, distributed infrastructure, or experimentation platforms is a plus.

Responsibilities

  • Elevate and consolidate ChatGPT’s harness, context management, and system prompt frameworks.
  • Drive expansion and improvement of multi-tier model experiences.
  • Support and scale self-serve experiment capabilities and automated guardrails.
  • Lead model rollout automation, capacity management, and health monitoring.
  • Shape end-to-end measurement systems (evals, grader signals, user feedback, etc.).

Skills

Engineering leadership
Production systems at scale
Model-driven product development
Experimentation platforms
Cross-functional collaboration
Clear communication

Job description

OpenAI is seeking a senior engineering leader to unify and scale the ChatGPT model harness, context management, and system prompt frameworks. You will drive multi-tier model experiences, automate guardrails for experiments, and oversee rollout, capacity, and health monitoring across AI-backed services.

Ideal candidates have proven success shipping production systems at scale, deep knowledge of model-driven development, and strong cross‑functional collaboration with research, product, and

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