Director of Product

P-1 AI•United States,

1d•$250,000 - $300,000•Hybrid

About The Position

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. 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.

Requirements

Intimate familiarity with engineering design for some class of complex systems.
Deeply embedded in the AI ecosystem and have a thorough understanding of how modern AI works, its limitations, and its failure modes.
Taken an AI product from early capability to sustained customer adoption.
Love the 0->1 part of the journey, being hands on, attracting top talent, and motivating a team.
Share our conviction that AI building the physical world will be beneficial and transformative for the human experience.

Nice To Haves

If the complex systems align with our target product verticals: data center cooling and power systems, automotive, aerospace and defense—so much the better.

Responsibilities

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.