Engineering Manager, Model Flywheel

About the Team

The ChatGPT Model Capabilities and Deployment 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 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.

If you’re passionate about advancing AI reliability, safety, and user impact at a global scale, we encourage you to apply!

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditi

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 including evals, grader signals, and user feedback.
• Collaborate cross-functionally with teams including Model Measurement DS, Research, Codex, Fleet, Inference, and API.

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 with experience interfacing with engineering, research, and product stakeholders.

Preferred Qualifications

• Prior involvement with large language models, distributed infrastructure, or experimentation platforms.

• 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.