OpenAI
Engineering Manager, Model Flywheel
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · San Francisco
Employer listed it 2 months ago · Added 4 days ago
Been open since 2 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
$401,000–$445,000
Location
Hybrid · San Francisco
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Software
Published by the employer
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around San Francisco, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "San Francisco, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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.
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.
- ·Prior involvement with large language models, distributed infrastructure, or experimentation platforms is a plus.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at OpenAI, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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$401,000–$445,000 · You'll be taken to the employer's careers page.