About ko-br
We give robots the ability to reliably perform mundane manufacturing work. We gather physical AI and embodied AI data from robots doing real factory tasks through human-in-the-loop teleoperation, reducing factory OPEX by 50% from day one. Today we sell the data, later, we will use that data to build our own foundation models so robots can do the work autonomously.
The role
You will sell embodied AI data to robotics companies and foundation model labs. Own the technical conversation and the close.
Find teams that need real-world robot data. Understand what they are building and where their data falls short.
Turn their needs into concrete datasets, pilots, and commercial agreements.
Work with engineering and operations to deliver what we promise.
Build the sales process by selling, not writing playbooks nobody uses.
We want you if you are technical enough to dig into data requirements and commercial enough to ask for the deal. No ego, no handoffs, no waiting for inbound.
Why join?
Generous base + equity.
Own our early customer relationships in physical and embodied AI data.
Sell data grounded in real factory work, not staged demos.
Our team comes from Amazon, Meta, Microsoft, Universal Robots, Siemens, and the University of Cambridge.
Skills Required
- Technical ability to understand customer data requirements
- Commercial ability to sell and close deals
- Ability to identify prospective customers without relying on inbound leads
- Ability to collaborate with engineering and operations teams
What We Do
ko-br develops infrastructure for collecting and preparing teleoperation data from robots performing real tasks on factory floors. Its human-in-the-loop approach helps robots reliably handle routine manufacturing work, with the company saying this can reduce factory operating expenses by 50% from day one. It currently sells the collected data and plans to use it to build foundation models that enable autonomous robotic work.
