Director of Product, AI

Archetype AI•San Mateo, CA

About The Position

Archetype AI is building a physical AI platform intended to bring artificial intelligence into the real world. Its Newton foundation model uses objective sensor data to understand the physical world and generate real-time insights into complex physical behaviors across areas such as industrial machinery and systems, wearable devices, and smart environments. The Director of Product, AI will establish product ownership for Archetype AI’s AI capabilities. Working closely with the CTO, Chief Scientist, and engineering teams, this person will define the roadmap, prioritize investments, translate emerging research into product capabilities, and drive readiness for customer adoption and commercialization. The role is based with Archetype AI’s team in Silicon Valley.

Requirements

  • At least 5 years of experience in product, AI startup founding, or technical consulting roles.
  • Strong technical understanding of AI/ML, including model architectures and applied machine learning.
  • Demonstrated ability to translate complex technical capabilities or research into product opportunities.
  • Experience working closely with AI/ML researchers and engineering teams to deliver technical products.
  • Strong product judgment and ability to identify customer problems, prioritize investments, and drive outcomes.

Nice To Haves

  • PhD in AI/ML, Computer Science, Robotics, or a related technical discipline.
  • Experience in Physical AI, industrial AI, robotics, computer vision, or time-series ML.
  • Experience as a founder or early employee at an AI/ML startup.
  • Experience with foundation models, multimodal AI, model evaluation, or fine-tuning.
  • Experience in AI consulting or enterprise AI implementation, such as at QuantumBlack, BCG X, or Palantir.

Responsibilities

  • Define and drive a coherent AI product roadmap aligned with company strategy and customer needs.
  • Translate AI research and model capabilities into differentiated, commercially relevant product capabilities.
  • Establish clear priorities and requirements for model development, adaptation, and evaluation.
  • Work with the evaluation lead to define model and agent evaluation frameworks and measurable criteria for product readiness.
  • Drive cross-functional alignment across Research, Engineering, and Product to deliver roadmap outcomes.
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