Engineering Manager, Model Flywheel

Compensation

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this position is $293K – $385K, and total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits include:

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The ChatGPT Model Capabilities and Deployment team works 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.

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.).

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.

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.