Product Manager, Core Models

Details

The Core Models team helps shape how 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. Scope includes model planning and launches as well as building data flywheels, evaluations, and measurement systems to ensure models have strong capabilities and behavior.

This role is based in San Francisco, CA and uses a hybrid work model (3 days in office per week). The company offers relocation assistance to new employees.

Responsibilities

• Translate user and product goals into clear 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 closely 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 that new capabilities improve faster over time.
• Use concrete product failures and emerging user needs to identify gaps, form hypotheses, and shape research and product investment.

Requirements / Qualifications

• 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: search and information retrieval, recommendation or personalization systems, ML platforms, large-scale data systems, model evaluation, or AI product infrastructure.
• Experience pairing offline evaluation with online experimentation and user signals, and the ability to distinguish useful metrics from convenient ones.
• Technical depth and the ability to earn the trust of researchers and engineers; willingness to engage directly with technical details.
• Ability to operate across research, infrastructure, and consumer product surfaces and to move quickly in ambiguous environments while communicating clearly.
• Strong judgment about how increasingly capable models affect people, with attention to safety, responsibility, and real-world impact.

About OpenAI

OpenAI is an AI research and deployment company focused on ensuring that general-purpose artificial intelligence benefits all of humanity. The company emphasizes safe deployment and values diverse perspectives. OpenAI is an equal opportunity employer and provides reasonable accommodations for applicants with disabilities. Background checks are administered in accordance with applicable law.

Benefits

• Base salary within the listed range plus equity and potential performance-related bonuses.
• Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
• Pre-tax accounts (Health FSA, Dependent Care FSA, commuter expenses).
• 401(k) with employer match.
• Paid parental leave and paid medical/caregiver leave.
• Flexible PTO and paid company holidays/office closures.
• Mental health and wellness support; employer-paid basic life and disability coverage.
• Annual learning & development stipend; daily meals in offices and meal delivery credits as eligible.
• Relocation support for eligible employees and additional taxable fringe benefits (e.g., donation matching, wellness stipends).