Engineering Manager, Model Flywheel

About the Team The ChatGPT Model Flywheel team unified goal is to transform model advancements into great ChatGPT user experiences through reliable serving, rapid experimentation, safe deployment, and continuous improvement. Team Focus Areas - Model Experimentation: - Enable rapid, safe model validation for ChatGPT and Codex products through experiment automation and lifecycle management. - Model Deployment: - Ensure safe, scalable deployment of model capabilities with robust rollout and operational tooling. - Automate capacity management and incorporate platform-wide health monitors. - Model Measurement: - Build comprehensive evaluation and measurement systems for model quality, from user signals to launch scorecards. - Improve end-to-end feedback loops for continual model improvement. Key Partnerships Collaborate cross-functionally with teams including Model Measurement DS, Research, Codex, Fleet, Inference, and API. 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. - Shape end-to-end measurement systems (evals, grader signals, user feedback, etc.). You might thrive in this role if you have: - 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. - Prior involvement with large language models, distributed infrastructure, or experimentation platforms is a plus. Why Work With Us - Tackle highly impactful t

Department: Applied AI; Team: Applied AI Engineering