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Archetype AI is building the world's first physical AI platform that brings artificial intelligence into the real world. The company's foundation model, Newton, understands the physical world through objective sensor data and generates real-time insights into complex physical behaviors—from industrial machinery and systems to wearable devices and smart environments. Founded by a high-caliber team from Google and backed by a renowned Silicon Valley venture fund, Archetype AI is in Series A and rapidly advancing its technology.
In this role, you will own the delivery of Archetype's customer programs across Asia, from initial scope through pilot, production, and expansion phases. You will lead customer engagement and cross-functional execution across Solutions, Research, Product, and Engineering teams. Your core responsibilities include connecting customer goals to technical milestones and dependencies, managing program risks, driving decisions and resolving blockers, and serving as a trusted, consistent point of contact for customers throughout the relationship.
Key accountabilities:
- Ensure customer programs reach pilot, production, and expansion against clear success criteria
- Keep customer goals and engineering work aligned through clear milestones, dependencies, and decisions
- Identify technical risks, gaps, and unresolved issues and establish clear paths forward across responsible teams
- Resolve cross-functional blockers and tradeoffs without losing program momentum
- Maintain consistent customer engagement and relationship management across the Asia region
QUALIFICATIONS (Required):
- Fluent Japanese and strong business English
- 5+ years leading technical programs, customer implementations, or enterprise deployments
- Track record of turning ambiguous goals into successful outcomes without a predefined execution path
- Experience leading engagements directly with enterprise customers and senior stakeholders
- Technical fluency with AI/ML, data, cloud, APIs, or similarly complex software systems
QUALIFICATIONS (Nice to Have):
- Hands-on background in engineering, solutions engineering, or systems integration
- Track record delivering AI/ML or data-centric products in real-world environments
- Experience with edge computing, sensors, industrial systems, or time-series data
