CM
The Career Machine
Back to Jobs
Ashby Verified ATS

Product Manager, Core Models

Openai San Francisco 2mo ago
FullTime
Analyzing job security signals...
Employer Website Verification
jobs.ashbyhq.com

About Openai (Wikipedia Record):

OpenAI is an American artificial intelligence (AI) public benefit corporation (PBC) headquartered in San Francisco, California. It develops proprietary generative AI models, particularly its generative pre-trained transformer (GPT) series of large language models. Its release of ChatGPT in November 2022 has been credited with catalyzing the AI boom; as of September 2026, ChatGPT is the fifth-most-visited website globally. OpenAI also releases the GPT Image models and Codex, an AI coding agent. In March 2026, OpenAI closed a funding round with a post-money valuation of US$852 billion, making it one of the most valuable AI pure play companies in the world, rivalled only by Anthropic.

About the Role

About the Team The Core Models team helps shape how OpenAI’s frontier models are built, measured, and launched. We work across Research, Engineering, Model Design, Data Science, and Product to turn advances in model capabilities into reliable, useful experiences for people. Our scope includes model planning and launches as well as building data flywheels, evaluations and measurement systems to ensure our models have strong capabilities and behavior. About the Role As a Product Manager for the Core Models team, you'll be at the forefront of defining and guiding the future of how our AI models work in real-world applications. You will connect user needs to model and systems decisions: how prompts are understood; how information is aggregated and made useful for training and evaluation data; and how capabilities move from research prototypes into the mainline model and launch stack. You will operate comfortably across research, infrastructure, and consumer product surfaces, creating clarity where ownership and technical boundaries are still emerging. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - 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 reusab

Similar Roles

View all