Engineering Manager, Model Flywheel
About The Position
The ChatGPT Model Capabilities and Deployment team's unified goal is to transform model advancements into great ChatGPT user experiences through reliable serving, rapid experimentation, safe deployment, and continuous improvement. The team focuses on Model Experimentation (enabling rapid, safe model validation), Model Deployment (ensuring safe, scalable deployment with robust rollout and operational tooling, automating capacity management, and incorporating platform-wide health monitors), and Model Measurement (building comprehensive evaluation and measurement systems for model quality, and improving end-to-end feedback loops for continual model improvement). Key partnerships include Model Measurement DS, Research, Codex, Fleet, Inference, and API teams. In this role, you will 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, and shape end-to-end measurement systems (evals, grader signals, user feedback, etc.).
Requirements
- Proven experience leading engineering teams in complex, cross-functional environments.
- Demonstrated success shipping 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 skills—experience interfacing directly with engineering, research, and product stakeholders.
Nice To Haves
- 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.).
Benefits
- Tackle highly impactful technical challenges at the cutting edge of AI.
- Collaborate with world-class researchers, engineers, and product leaders.
- Build infrastructure and experiences used by millions.
- Shape the future of how people interact with AI.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
