
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 The Role Archetype AI is seeking a hands-on Revenue Operations Manager to build and optimize our revenue engine from the ground up. You'll be the architect of our lead-to-revenue process, implementing systems, defining qualification criteria, and enabling our sales and marketing teams to hit ambitious growth targets. This is a high-impact role for someone who thrives in a fast-paced startup environment and wants to directly influence our path as we scale our business.
Core Responsibilities
Required Qualifications
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Lead Management & Qualification
Define and implement MQL/SQL criteria from scratch based on our enterprise customer profile and ASP targets;
Build lead scoring models and monitor and optimize conversion rates at each funnel stage (MQL→SQL→Opportunity→Close→Post-sales)
Create lead routing workflows to ensure proper handoff between marketing and sales teams
Establish SLA frameworks for lead response times and follow-up cadences
Systems Architecture & Implementation
Design and implement HubSpot + Salesforce integration to support our sales process and pipeline management
Configure marketing automation workflows for lead nurturing, scoring, and segmentation
Implement and manage best-in-class tools for:
Data enrichment and lead intelligence
Demand generation and ABM campaigns
Product analytics and customer journey tracking
Build reporting dashboards for pipeline visibility, conversion tracking, and revenue forecasting
Ensure data hygiene and maintain single source of truth across systems
Process Optimization & Enablement
Document and optimize sales processes from qualification through close
Create training materials for sales team on lead qualification and system usage
Collaborate with cross-functional teams to streamline processes, identify areas for automation, and implement tools and systems to enhance efficiency
Support ABM campaign execution with account research, list building, and campaign tracking
Collaborate with sales leadership on quota setting and capacity planning
Experience & Background
3-4 years of Revenue Operations experience at B2B SaaS companies, preferably Series A/B stage
Deep expertise with HubSpot CRM, including automation, data structure, and reporting
Hands-on experience with Salesforce setup, configuration, and optimization
Track record of building lead qualification frameworks and managing marketing-to-sales handoffs
Experience with ABM campaigns and enterprise sales processes
Familiarity with sales development and inside sales processes
Technical Skills
Expert-level proficiency in HubSpot and Salesforce
Strong analytical skills with experience in Excel/Google Sheets, data visualization tools
Knowledge of sales enablement tools
Experience with data enrichment platforms (ZoomInfo, Apollo, Clearbit, etc.)
Basic understanding of APIs and system integrations
Familiarity with product analytics tools (Mixpanel, Amplitude, etc.)
Soft Skills & Attributes
Self-starter mentality with ability to work independently and prioritize effectively
Strong project management skills with experience leading cross-functional initiatives
Excellent communication skills for training, documentation, and stakeholder management
Problem-solving mindset with ability to diagnose process issues and implement solutions
Startup adaptability — comfortable with ambiguity, rapid changes, and wearing multiple hats