Head of GTM, Physical AI

Bagel Labs is an AI research lab building Distributed Diffusion Models, or DDM, which train frontier diffusion models across commodity hardware instead of one uniform GPU cluster by training many smaller expert models independently and combining them with a lightweight router at inference. We proved the approach with Paris, our first public model, and we are now bringing it to physical AI, where robotics, autonomy, and simulation teams need large models but cannot get the compute to train them the usual way.

We ignore years of experience and pedigree. If you can find the teams this matters to and turn a hard technical story into signed pilots, we want to hear from you. Every requirement below is flexible for the right person with enough judgment and network to open this market.

Role Overview

As our first commercial hire, you will find the physical AI teams whose training costs or hardware limits DDM can change, and move them from a first conversation toward a technical evaluation, a design partnership, or a paid pilot. This is how Bagel Labs sells into a market that barely exists yet, and how it gets done is up to you.

What You'll Do

• Find and prioritize the physical AI teams in robotics, autonomy, simulation, and world modeling whose training costs or hardware limits DDM can change.
• Run the whole early cycle yourself, from first outreach through discovery, technical evaluation, and close.
• Lead technical and commercial conversations with founders, ML leads, and infrastructure owners, and earn enough trust to get their real workload constraints on the table.
• Explain DDM in terms a buyer cares about, like training cost, hardware flexibility, model quality, and what it takes to run their own stack.
• Bring what you learn back to research and engineering so the roadmap reflects real buyer constraints.
• Set up the basics a repeatable pipeline needs, like account maps, qualification criteria, evaluation artifacts, and deal notes.

Who You Might Be

You have opened a hard technical market before, maybe as a founder, an early commercial hire, or the first business development or GTM person at an infrastructure or deep tech company. You know enough about ML infrastructure, robotics, or simulation to earn a technical buyer's trust, and you are commercial enough to turn that trust into a deal. You are comfortable working without a playbook, through a long sales cycle, on a product that is still taking shape. We care more about whether you can open this market than about your background.

Desired Skills

• A track record of opening early sales, business development, or design partner relationships in a hard technical market.
• Enough technical depth to hold your own with buyers in AI infrastructure, robotics, simulation, or cloud and GPU.
• Clear and direct writing and speaking in settings that are both technical and commercial.
• High agency and good independent judgment when things are ambiguous.

What We Offer

• Direct access to the CEO and the core research team.
• Competitive compensation and meaningful equity.
• 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.