关于Meshy
Meshy 是一家创立于硅谷的生成式 AI 公司，始终以「解放 3D 创造力」为使命，致力于推动 3D 内容创作方式的根本变革。我们正全力构建业界领先的 3D 基础大模型，能够生成高精度几何结构与逼真材质贴图，让专业设计师与创作爱好者都能通过简单的文字或图片，在几分钟内轻松打造出高质量 3D 资产。过去耗时费力的建模流程，如今正被重塑为高效、便捷的创意体验。
Meshy 汇聚了来自计算机图形学、人工智能与 3D 艺术领域的全球顶尖人才。团队成员毕业于 MIT、斯坦福、伯克利等世界一流高校，并曾任职于英伟达、微软等高科技企业。公司业务遍及全球，在多地设有分部，形成了多元包容的文化氛围与高效协同的全球协作机制。Meshy 的技术实力与创新潜力也赢得了资本市场的认可，已获得包括红杉资本、GGV 纪源资本在内的顶级机构 5200 万美元融资。
在行业影响力方面，Meshy 已确立全球领先地位。我们被 A16Z Games 2024 年度报告评选为最受欢迎的 3D AI 工具，并在 SimilarWeb 网站流量统计中位列第一，月访问量突破 300 万。目前，Meshy 已服务全球 600 万用户，累计生成 4000 万以上 3D 模型，成为越来越多创作者与开发者的信赖之选。
创始人兼 CEO 胡渊鸣（Ethan Yuanming Hu） 拥有 MIT 计算机图形学与人工智能博士学位。他主导开发了广受认可的 Taichi 编程语言，该项目在 GitHub 上收获超过 2.7 万星标，已被全球 300 多家机构采纳使用。
About Meshy
Headquartered in Silicon Valley, Meshy is the leading 3D generative AI company on a mission to Unleash 3D Creativity by transforming the content creation pipeline. Meshy makes it effortless for both professional artists and hobbyists to create unique 3D assets—turning text and images into stunning 3D models in just minutes. What once took weeks and cost $1,000 now takes just 2 minutes and $1.
Our world-class team of top experts in computer graphics, AI, and art includes alumni from MIT, Stanford, and Berkeley, as well as veterans from Nvidia and Microsoft. Our talent spans the globe, with team members distributed across North America, Asia, and Oceania, fostering a diverse and innovative multi-regional culture focused on solving global 3D challenges. Meshy is trusted by top developers, backed by premiere venture capital firms like Sequoia and GGV, and has successfully raised $52 Million in funding.
Meshy is the market leader, recognized as the No.1 in popularity among 3D AI tools (according to 2024 A16Z Games) and No.1 in website traffic (according to SimilarWeb, with 3 Million monthly visits). The platform boasts over 6 Million users and has generated 40 Million models.
Founder and CEO Yuanming (Ethan) Hu earned his Ph.D. in graphics and AI from MIT, where he developed the acclaimed Taichi GPU programming language (27K stars on GitHub, used by 300+ institutes). His work is highly influential, including an honorable mention for the SIGGRAPH 2022 Outstanding Doctoral Dissertation Award and over 2,700 research citations.
About the Role：
We are exploring the next generation of 3D creation products and are looking for a Product Leader for 3D Agents. This role will define how AI Agents are applied in 3D creation, driving the evolution from capability exploration to truly usable products for global creators and enterprise customers. This is a highly strategic and early-stage position. You will work closely with teams across research, design, engineering, and data, directly contributing to the definition, validation, and rapid iteration of new product directions.
What You’ll Do:
Product Strategy & Execution: Own the end-to-end lifecycle of the 3D Agent product, including requirement definition, solution design, roadmap planning, and iterative releases.
User Research & Scenario Discovery: Develop a deep understanding of workflows and pain points across different user segments. Identify key scenarios suitable for agentization and continuously optimize task efficiency and user experience.
AI Capability Productization: Integrate large language models, 3D generation/editing capabilities, and workflow orchestration into usable products. Design effective interaction models, task flows, feedback mechanisms, and controllability solutions.
Agent Evaluation Framework Design: Establish metrics such as task success rate, cost efficiency, and user satisfaction. Build evaluation systems for human-AI collaboration and drive continuous optimization.
Cross-functional Collaboration: Partner closely with engineering, research, and growth teams to efficiently drive the delivery of complex projects.
What We're Looking For:
Bachelor’s degree or above, with 3+ years of product management experience. Experience with Agent, Copilot, Automation, or Workflow products is required.
Strong, systematic understanding of AI Agent architecture, including intent understanding, tool use, task orchestration, context management, and memory systems, and how these impact product design. Familiarity with the limitations of mainstream LLMs.
Comprehensive knowledge of the AI Agent tech stack (LLMs, Tool Use, Orchestration, Context Engineering, Memory, Skills), with the ability to translate system-level understanding into product decisions.
Excellent user insight, logical thinking, and cross-functional leadership skills. Pragmatic, execution-driven, and results-oriented.
Comfortable in fast-paced startup environments with high uncertainty. Strong curiosity for emerging technologies and proactive use of AI tools to improve productivity.
Proficiency in English as a working language.
Nice to have:
Hands-on experience with prompt engineering and Agent evaluation design.
Background in 3D, gaming, modeling, animation, or digital art tools.
Experience with AI products, creator tools, productivity tools, APIs, or international products.
Basic coding ability; engineering or research background is a plus.
Strong spoken English, with the ability to communicate effectively with global users.
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