
Archetype AI helps businesses perceive and reason about physical environments using real-time sensor data to detect issues and automate responses. The company develops Newton, a proprietary Large…

Archetype AI helps businesses perceive and reason about physical environments using real-time sensor data to detect issues and automate responses. The company develops Newton, a proprietary Large…
What they do: Builds a Physical AI platform (Archetype Platform) and Newton, a multimodal foundation model for sensor/time-series fusion to enable edge-deployable Physical Agents.
Business model: B2B SaaS with API, agent toolkit, private fine-tuning, edge deployment, and GPU-accelerated inference for embedded AI.
Founded: 2023
Notable funding: $13M seed (Apr 2024) and $35M Series A (Nov 20, 2025)
Target industries: Construction, spatial computing, diagnostics, telecommunications, smart cities
Perception and reasoning over physical environments using multimodal sensor and time-series data to detect issues and automate responses.
2023
Technology, Information and Internet
13000000
Seed round announced tied to the Newton Physical AI model.
35000000
Series A announced on company blog; participation from multiple institutional investors.
3100000
TechCrunch reported a $3.1M seed investment announced Feb 28, 2023 (closed earlier).
“Company lists participation from institutional and strategic investors including Venrock, Bezos Expeditions, Amazon Industrial Innovation Fund, Samsung Ventures, Gaingels, Plug and Play, Comcast NBCUniversal LIFT Labs, and others across rounds.”
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About Archetype AI Archetype AI is developing the world's first AI platform to bring AI into the real world. Formed by an exceptionally high-caliber team from Google, Archetype AI is building a foundation model for the physical world, a real-time multimodal LLM for real life, transforming real-world data into valuable insights and knowledge that people will be able to interact with naturally. It will help people in their real lives, not just online, because it understands the real-time physical environment and everything that happens in it.
Supported by deep tech venture funds in Silicon Valley, Archetype AI is currently at the Series A stage and is progressing rapidly to develop technology for their next stage. This presents a unique and once-in-a-lifetime opportunity to be part of an exciting AI team at the beginning of their journey, located in the heart of Silicon Valley.
Our team is headquartered in San Mateo, California, with team members throughout the US and Europe.
We are actively growing, so if you are an exceptional candidate excited to work on the cutting edge of physical AI and don’t see a role that exactly fits you below you can contact us directly with your resume via jobsarchetypeaiio.
About Job Archetype AI is seeking an AI Solutions Specialist to join our high-velocity Go-To-Market (GTM) Sales team, reporting to the Head of Solutions Architecture. We’re a fast-growing startup building Newton, our multi-sensor data fusion AI platform, and this role is all about rapidly turning customer ideas into working solutions.
In this role, you will help validate customer use cases and shape the solutions they need by combining prompt engineering with AI/ML data workflows. You’ll move quickly from reviewing incoming customer assets to designing prompts, preparing data, and running targeted evaluations. Working closely with Solutions Engineers and Sales Representatives, you’ll help ensure customers quickly see relevant, high-impact results from their data. This is a hands-on, internally focused role in a fast-paced environment that rewards ownership, initiative, and a strong can-do mindset.
Skills & Qualification
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Soft Skills & Attributes
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Data Preparation, Prompt Engineering & Fine-Tuning Support
Review and assess incoming customer assets (video, sensor streams data, use cases, requirements) for feasibility with Newton.
Prepare datasets in Python for evaluation and fine-tuning, including ingestion, cleaning, structuring, and steps such as imputation, filtering, normalization, or other basic signal processing for model readiness.
Support labeling and annotation workflows from dataset creation through evaluation.
Use signal visualization and basic statistical analysis to assess and validate data preparation steps.
Collaborate with engineering to investigate unexpected model performance and identify opportunities for improvement, noting that data preparation is often iterative (data prep → testing → refine prep → repeat).
Design, test, and refine prompts — including natural language and multimodal examples (e.g., n-shot examples in the Machine State Lens) — for Newton’s lenses (physical agents) based on specific customer needs.
Configure and adjust lens parameters to maximize performance on quick evaluations and proof-of-concept runs.
Maintain a library of reusable prompt templates and configuration presets for common scenarios.
Internal-Facing GTM Support
Work closely with Solutions Architects, Solutions Engineers, and Sales Representatives to support the GTM team.
Support Solutions throughout the entire customer engagement lifecycle — from top-of-funnel discovery through solution development, deployment, and follow-on expansion.
Summarize evaluation findings for the Solutions teams, enabling faster follow-up with customers.
Occasionally support demos or training sessions on prompt building and evaluation best practices.
Take ownership of assigned evaluation projects, driving them from raw data to testable results without waiting for step-by-step direction.