Pitch Your Own Role

**About Preload** Preload builds the data layer for physical AI. Robots learn mostly from video, but human interaction is much richer: touch, force, and muscle activity. We build a wearable multimodal stack (egocentric video, tactile gloves, EMG) to capture how people actually interact with the physical world, and turn it into datasets robotics teams can train on. We're a YC (F26) team of PhD founders from Johns Hopkins and Caltech with backgrounds at Neuralink, Paradromics, and other neurotech companies. **Don't see your role?

Pitch us.** We're early, and some of our best hires won't fit neatly into a job description. If you're exceptional and believe you can help us build the data layer for physical AI, we want to hear from you, whatever your background. **Areas where we'd love to hear from you** - Robotics, manipulation, and robot learning - Biosignals, neuroengineering, and wearable sensing - Hardware, mechanical design, and manufacturing - ML research, multimodal modeling, and data infrastructure - Surgery, clinical research, and medical devices - Operations, partnerships, and go-to-market **How to apply** In your application, tell us: - What you'd own at Preload and why it matters now - The most impressive thing you've built or done - What you'd accomplish in your first 90 days **What we're looking for** - A track record of building real things, fast - Comfort with ambiguity and owning problems end to end - Genuine excitement about robotics and physical AI **Why join** Early, in-person team in San Francisco.

You'll shape the product, the stack, and the culture from day one. Compensation depends on the role and experience.