Head of GTM, Physical AI

You will identify and prioritize physical AI teams whose training costs or hardware limitations can be addressed. You will manage early commercial cycles from outreach through discovery, technical evaluation, and closing. You will lead technical and commercial discussions, translate technical capabilities into buyer value, share market insight with research and engineering, and establish the foundations of a repeatable pipeline.

Responsibilities

• Identify and prioritize physical AI teams in robotics, autonomy, simulation, and world modeling.
• Manage early commercial cycles from initial outreach through discovery, technical evaluation, and closing.
• Lead technical and commercial conversations with founders, machine learning leads, and infrastructure owners.
• Explain Distributed Diffusion Models in terms of training cost, hardware flexibility, model quality, and stack requirements.
• Share buyer constraints and market insights with research and engineering.
• Establish account maps, qualification criteria, evaluation artifacts, and deal notes.

Requirements

• Demonstrate a track record of opening early sales, business development, or design-partner relationships in a hard technical market.
• Possess technical depth in AI infrastructure, robotics, simulation, cloud, or GPUs.
• Communicate clearly in technical and commercial settings.
• Work independently through ambiguity and long sales cycles.

Benefits

• Competitive compensation.
• Meaningful equity.
• Direct access to the CEO and core research team.
• Ownership of how Bagel Labs enters a physical AI market in its earliest days.
• A front row seat to one of the hardest open problems in generative AI infrastructure.