Founding Account Executive - Physical AI

About the role

This is not a seat on a machine someone else built. There is no playbook to inherit. You will write one. In your first six months, you will:

• Open doors that don't exist yet. Find the labs, integrators, OEMs, and operators building physical AI, and get into the room. Cold, warm, conference floor, group chat — whatever it takes. Most of these conversations will go nowhere. You will keep making them.
• Turn conversations into partnerships. Take an early signal and carry it all the way to a signed, shipped, referenceable deployment. Not a logo slide — a working thing in the world.
• Find the shape of the market. Notice which pitch lands and which dies. Write down why. Change what we say next week. Repeat until it's a repeatable motion, then hand it to the next person we hire.

Who this is for

The line between technical people and go-to-market people is dissolving. We don't care which side you started on. We need a full stack GTM hacker. You may have been a founder — you raised, you sold, you shipped, you did the taxes. You may be a business person who is unafraid to read the docs, run the SDK, and hold your own with a robotics engineer. You may be an engineer who is unafraid to walk onto a factory floor, into a conference hall, or into a room of strangers and start connecting. What matters is that you can hold both and expand into whatever the company needs next quarter.

You should be:

• A generalist by conviction, not by accident. You've deliberately built range because narrow roles bore you.
• Genuinely fired up about physical AI. Not "AI is hot." You have opinions about what happens when models get bodies.
• Comfortable with ambiguity that never fully resolves. Some weeks the priority changes on Wednesday.
• Willing to knock on every door. Rejection is the job, not a signal that something has gone wrong.
• Honest under pressure. We would rather hear the bad number early than the good story late.

Preferred experience

• Experience in sales, partnerships, or account management of a highly technical product — at a B2B SaaS, frontier AI, physical AI startup, or data collection company.
• Experience working with both startups and enterprise companies, and comfort navigating both fast and longer sales cycles.
• Experience negotiating and closing deals of all sizes.

Who this isn't for

Someone who needs a defined territory, a quota model, and a marketing team feeding them leads. That infrastructure does not exist here. You are the infrastructure.

Schedule

Bay Area, hybrid — 2 days in office / remote with travel expectations.

Pay

$145k–$200k base + variable, plus meaningful equity.

Travel

Regular. Conferences, customer sites, partner labs.