Product Manager, Core Models

Details

The Core Models team shapes how OpenAI's frontier models are built, measured, and launched. The team works across Research, Engineering, Model Design, Data Science, and Product to turn advances in model capabilities into reliable, useful experiences. Its scope includes model planning and launches, data flywheels, evaluations, and measurement systems.

As Product Manager for the Core Models team, you will help define how AI models work in real-world applications. You will connect user needs to model and systems decisions involving prompt understanding, information aggregation, training and evaluation data, and the transition of research prototypes into the mainline model and launch stack. The role operates across research, infrastructure, and consumer product surfaces.

This role is based in San Francisco, California, and uses a hybrid work model with three days in the office per week. Relocation assistance is offered to new employees.

Responsibilities

• Translate user and product goals into model requirements, system architecture choices, and research priorities across query understanding, indexing, retrieval, ranking, tool boundaries, data, training, inference, and evaluation.
• Build closed learning loops that turn product usage, explicit feedback, and other user signals into datasets, evaluations, experiments, training priorities, and launch decisions.
• Define success across offline evaluations and online product metrics, balancing model quality, usefulness, latency, safety, reliability, and cost.
• Partner with post-training research, applied product engineering, Model Design, and Data Science to integrate capabilities into the mainline model stack.
• Create reusable platforms and operating systems for evaluation, experimentation, and signal collection so new capabilities improve faster over time.
• Use product failures and emerging user needs to identify gaps, form hypotheses, and shape research and product investment.

Requirements

• Deep expertise in product management or closely related experience, including ownership of technically complex products or platforms.
• Deep fluency in one or more relevant domains, such as search and information retrieval, recommendation or personalization systems, ML platforms, large-scale data systems, model evaluation, or AI product infrastructure.
• Ability to pair offline evaluation with online experimentation and user signals, and distinguish useful metrics from convenient ones.
• Ability to earn the trust of researchers and engineers through technical depth, clear judgment, and direct engagement with details.
• Ability to combine consumer product judgment with systems rigor and care about both user-perceived quality and repeatable infrastructure.
• Ability to move quickly in ambiguous environments, communicate directly, and support sound decisions without waiting for perfect information.
• Humility, judgment, and a strong sense of responsibility regarding the effects of increasingly capable models.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The company develops and deploys AI systems with safety and human needs at their core.

OpenAI is an equal opportunity employer and does 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 characteristics. Background checks are administered in accordance with applicable law. Reasonable accommodations are available to applicants with disabilities.

Benefits

• Base pay of $347,000–$490,000 per year, plus equity.
• Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
• Pre-tax accounts for health and dependent care expenses, and commuter expenses.
• 401(k) retirement plan with employer match.
• Paid parental, medical, and caregiver leave.
• Paid time off, paid company holidays, office closures, and sick or safe time as required by law.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily office meals and eligible meal delivery credits.
• Relocation support for eligible employees.
• Potential additional taxable fringe benefits, including charitable donation matching and wellness stipends.