产品主管
Director of Product
**TL;DR:** 如果你：
- 有设计复杂物理系统的经验；
- 能将客户工作流程转化为连贯、可扩展的产品；
- 对AI模型、代理、评估和故障模式有严谨的理解；
- 有将AI产品从早期能力发展为持续使用经验；
- 既喜欢亲自动手，也擅长构建和领导团队；
- 与我们对“物理世界AI工程师”的愿景一致…
… 那么你应该申请这个职位！
**关于P-1 AI：**
在P-1 AI，我们正在打造一个名为Archie的物理世界的AI工程师代理。我们最大化Archie的人性化程度，使其以人类工程师的形式无缝融入现有的工程团队和工作流程。目前Archie相当于一名初级机械和电气工程师，具备对产品设计空间的量化直觉，并能使用复杂的工程工具——这些工具与他的人类同事使用的相同。Archie的技术栈包括定制的代理框架、结构化设计表示、持续技能学习，以及使用专有的半合成训练数据集和环境进行微调的小型定制模型，这创造了深厚的竞争壁垒。我们的最终目标是构建工程型ASI。我们最近宣布获得由NEA领投的5000万美元A轮融资，同时前通用电气CEO Jeff Immelt加入我们的董事会。本轮融资还引入了来自Anthropic和Nominal的多位AI专家，以及来自Google和OpenAI的现有天使投资人。
**关于这个机会：**
这是公司中最具影响力的角色之一。你将与CEO一起完善并将Archie的产品愿景转化为可执行的路线图，并在以愿景驱动和以客户驱动的产品开发之间找到微妙的平衡。你需要对当前复杂物理产品的设计方式有深入理解，同时对现代AI模型和框架的能力与局限有细致的认识。你将成为我们产品战略和执行的关键推动者，因此你必须真正认同我们为物理世界构建工程型ASI的使命。
**关于这个角色：**
- 持续将我们雄心勃勃的愿景转化为聚焦的产品策略和功能路线图。
- 深入客户，理解他们的工作流程，并将客户用例注入产品路线图。
- 与团队共同制定功能规格和需求。
查看英文原文
**TL;DR:** If you:
- Have yourself designed complex physical systems;
- Can translate customer workflows into a coherent, scalable product;
- Have a rigorous understanding of AI models, agents, evals, and failure modes;
- Have taken an AI product from early capability to sustained use;
- Are as happy and capable being hands-on, as you are building and leading a team;
- Share our vision of an AI engineer for the physical world…
… you should apply for this role!
**About P-1 AI:**
At P-1 AI, we are building an AI engineer agent for the physical world named Archie. We maximize Archie’s anthropomorphism so that he fits seamlessly into existing engineering teams and workflows in the form factor of a human engineer. Archie today is at the level of a junior mechanical and electrical engineer, with a quantitative intuition over the product design space and the ability to use complex engineering tools—the same tools his human teammates use. Archie's tech stack includes a custom agentic harness, structured design representation, continual skills learning, and small custom post-trained models using proprietary semi-synthetic training data sets and environments which create a deep competitive moat. Our ultimate aim is to build engineering ASI. We recently announced a $50 million Series A financing led by NEA, which added former General Electric CEO Jeff Immelt to our board. The round also included the addition of several AI luminaries from Anthropic and Nominal to our existing angel investors from Google and OpenAI.
**About the opportunity:**
This is one of the most impactful roles in the company. You will work alongside the CEO to refine and translate the product vision for Archie into an actionable roadmap and strike the delicate balance between vision-driven and customer-driven product development. You must bring to the role a thorough understanding of how complex physical products are designed today, as well as a nuanced perspective on the capabilities and limitations of modern AI models and harnesses. You will be a key driver of our product strategy and execution, and as such you must be a true believer in our mission to build an engineering ASI for the physical world.
**About the role:**
- Continuously map our ambitious vision into a focused product strategy and feature roadmap.
- Embed with customers, understand their workflows, and inject customer use cases into the product roadmap.
- Develop feature specifications and requirements alongside the engineering teams.
- Work alongside engineering leaders to drive overall product architecture.
- Lead product from emerging AI capability to trusted, sustained use in real engineering environments, setting a rigorous bar for performance, evals, reliability, and graceful failure modes.
- Build and lead a world-class product team—while staying deeply hands-on with discovery, design, and delivery.
**About you:**
- You have intimate familiarity with engineering design for some class of complex systems. If the complex systems align with our target product verticals: data center cooling and power systems, automotive, aerospace and defense—so much the better.
- You are deeply embedded in the AI ecosystem and have a thorough understanding of how modern AI works, its limitations, and its failure modes.
- You’ve taken an AI product from early capability to sustained customer adoption.
- You love the 0->1 part of the journey, being hands on, attracting top talent, and motivating a team.
- You share our conviction that AI building the physical world will be beneficial and transformative for the human experience.
**Location:**
Remote (US/Canada) or in-office in San Mateo, CA. Remote employees spend one week out of six working together on-site in our San Mateo office. Relocation support available.
**Benefits:**
Competitive salary, bonus, meaningful equity ownership, healthcare, dental, vision, 401(k) match, and unlimited PTO.
**Interview process:**
- Introductory call (30 mins)
- Biographical/behavioural interview (45 mins)
- Case study interview (60 mins)
- CEO interview (30 mins)