Archetype AI

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…

Computer VisionEmbedded AILarge Behavior ModelMachine LearningPhysical AIReal-timeSensor FusionSpatial Computingarchetypeai.io

Archetype AI

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…

Computer VisionEmbedded AILarge Behavior ModelMachine LearningPhysical AIReal-timeSensor FusionSpatial Computingarchetypeai.io

HQPalo Alto, US

Team Size66

Open Jobs9

Total Funding$48M

Latest Fundraise7 months ago

TL;DR

What they do: B2B Physical AI platform that fuses multimodal sensor data and natural language via a foundation model (Newton) for on-edge agents and automation

Founded: 2023

Headquarters: Palo Alto

Notable tech: Newton Large Behavior Model, sensor fusion, edge deployment, REST/Python APIs, Agent Toolkit

Funding to date: Reported total $48M (multiple rounds including $13M seed and $35M Series A)

Company Overview

Problem Domain

Real-world sensor fusion, on-edge agent reasoning, and automation for industrial and infrastructure environments.

Founded

2023

Industry

Technology, Information and Internet

Tech Stack

Multimodal sensor fusion (radar, camera, accelerometer, temperature, microphones)

Natural language interfaces

REST and Python APIs

Edge deployment / GPU-accelerated inference

Agent Toolkit (no-code)

Funding Track Record

Seed- 2024-04

13000000

Seed round reported on company site as $13M; joined by Hitachi Ventures and the Amazon Industrial Innovation Fund

Series A- 2025-11

35000000

Reported $35M Series A with participation from investors including Bezos Expeditions and Samsung Ventures

Investor Signal

“Backed by strategic and venture investors including Venrock, Hitachi Ventures, IAG Capital Partners, Bezos Expeditions, Samsung Ventures, and the Amazon Industrial Innovation Fund”

Founders

What we do

Join the Team

Technical Program Manager, Partner & Customer Delivery

RemotePalo Alto, CA, US

Remote • Palo Alto, CA, US

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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 pre-Series A, 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 Palo Alto, 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 The Role Archetype AI is seeking a Technical Program Manager, Partner & Customer Delivery to lead technical engagements with enterprise customers and partners. In this role, you’ll work closely with engineering, product, Solutions Engineering , and Sales to ensure successful delivery, deployment, and adoption of our platform across customer cloud and edge environments.

You will operate at the intersection of technical execution and customer success — enabling external teams, surfacing critical feedback to internal teams, and driving delivery processes that scale with enterprise demands.

This role is best suited for someone who thrives in startup environments, bridges technical depth with business context, and can translate complexity into clear actions across diverse stakeholders.

Core Responsibilities

Required Qualifications

4–8+ years of experience in technical program management, solutions architecture, or customer engineering roles.
Proven ability to lead technical programs with diverse customers and partners; experience with enterprise stakeholders is a strong plus.

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Customer & Partner Delivery

Lead programs that deliver our platform to external partners and enterprise customers.

Develop deployment and integration plans tailored to customer needs and timelines.

Ensure high-quality onboarding, technical enablement, and post-launch success.

Track key metrics like activation, usage, latency, and feedback loops.

Collaborate with Solutions Engineering and Sales to run discovery, define scope/SOWs, sequence POCs → pilots → production, and post-sales professional services.

Cross-Functional Technical Execution

Coordinate timelines and hand-offs between internal teams and external stakeholders.

Work with engineering and product to align the roadmap with customer use cases.

Translate partner/customer feedback into actionable product and infrastructure insights.

Technical Depth & Problem Solving

Understand how customers interact with our API, SDKs, and platform features.

Assist customers in debugging integration blockers, triaging bugs, and clarifying documentation gaps.

Use basic scripting (e.g., Python or shell) to validate data, test endpoints, or demo features.

Comfort guiding deployments in customer-managed cloud and edge environments.

Startup Execution & Adaptability

Own your programs end-to-end in a fast-moving, ambiguous environment.

Wear multiple hats: part TPM, part solutions engineer, part customer advocate.

Identify and solve bottlenecks independently, escalating only when necessary.

Executive presence: able to lead customer kick-offs, workshops, and review sessions, driving clear outcomes and recommendations.

Experience working in early-stage or high-growth startup environments.

Familiarity with platform or API-based products (bonus if AI/ML or data-centric).

Comfort working with Python, shell scripts, or similar tools for technical validation and support.

Basic understanding of REST APIs, cloud services, data pipelines, or SDK integration workflows.

Ability to read technical documentation, triage bugs, and contribute to reproducible issue reports.

Excellent communicator, able to represent technical details to non-technical partners.

Strong sense of ownership, urgency, and ability to manage ambiguity.

Able to balance customer empathy with internal clarity, driving aligned decisions across stakeholders.

Clear and confident writing for status updates, documentation, and executive communications.