产品经理，核心模型
Product Manager, Core Models
团队介绍
Core Models 团队帮助塑造 OpenAI 前沿模型的构建、评估和发布方式。我们与研究、工程、模型设计、数据科学和产品团队合作，将模型能力的进展转化为对人们可靠且有用的经验。我们的职责范围包括模型规划和发布，以及构建数据飞轮、评估和测量系统，以确保我们的模型具备强大的能力和行为。
职位介绍
作为 Core Models 团队的产品经理，你将处于定义和指导我们的 AI 模型在实际应用中如何工作的最前沿。你将把用户需求与模型和系统决策联系起来：如何理解提示；如何聚合信息并使其对训练和评估数据有用；以及能力如何从研究原型进入主线模型和发布流程。你将在研究、基础设施和消费者产品界面之间自如运作，在所有权和技术边界尚不明确的地方创造清晰度。
该职位位于加利福尼亚州旧金山。我们采用每周 3 天在办公室的混合工作模式，并为新员工提供搬迁协助。
在这个职位中，你将：
- 将用户和产品目标转化为清晰的模型需求、系统架构选择和研究优先级，涵盖查询理解、索引、检索、排序、工具边界、数据、训练、推理和评估。
- 构建闭环学习流程，将产品使用、显式反馈和其他用户信号转化为数据集、评估、实验、训练优先级和发布决策。
- 定义离线评估和在线产品指标的成功标准，平衡模型质量、实用性、延迟、安全性、可靠性和成本。
- 与后训练研究、应用产品工程、模型设计和数据科学紧密合作，将能力整合到主线模型堆栈中。
- 创建可重复使用的评估、实验和信号收集平台和操作系统，使新功能随时间推移更快得到改进。
- 利用具体的产品失败和新兴用户需求来识别差距，形成假设，并塑造下一阶段的研究和产品投资。
如果你具备以下条件，可能会在这个职位上表现出色：
- 在产品管理或相关领域有深厚的专业知识，包括负责技术复杂产品或平台的经验。
- 具有深入的流利程度
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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 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 the next wave of research and product investment.
You might thrive in this role if you:
- Have deep expertise in product management or closely related experience, including ownership of technically complex products or platforms.
- Bring 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.
- Know how to pair offline evaluation with online experimentation and user signals, and can distinguish a useful metric from a convenient one.
- Earn the trust of researchers and engineers through technical depth, crisp judgment, and a willingness to engage directly with the details.
- Combine consumer product taste with systems rigor, and care about both the quality people feel and the infrastructure that makes it repeatable.
- Move quickly in ambiguous environments, communicate directly, and help teams make sound decisions without waiting for perfect information.
- Care deeply about how increasingly capable models affect people, and bring humility, judgment, and a strong sense of responsibility to the work.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do 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 characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.