We're building the AI workforce for the physical economy — AI agents that replace the manual coordination layer running on emails, spreadsheets, TMS, ERP, and phone calls at companies that move, make, and deliver physical things. Our agents handle complex multi-day workflows, learn from feedback, and reach 90%+ autonomous execution in production.
Our founder Obaid Khan co-founded Motive — scaled it to $350M+ in revenue and a $5B+ valuation. We're going after the next big problem in the same market. Early team but we have multiple customers including Fortune 500. We move fast and hold a high bar.
Join us and build the core agent platform that automates complex operational workflows across the physical economy. You'll work across the stack — from AI agent orchestration to the product surfaces customers interact with daily.
What You'll Do
Ship end-to-end: design, build, and operate features that span agent orchestration, integrations (TMS, ERP, email, voice, vendor portals), and the UIs customers use to train, review, and trust the agents.
Own problems, not tickets. You'll pick up ambiguous customer workflows and turn them into reliable automated systems in production.
Work directly with customers — including Fortune 500 ops teams — to understand what they actually do all day, then compress it into agent behavior.
Raise the autonomous execution rate. Every point from 80% → 95% is a product, infra, and evals problem. You'll work on all three.
Set the engineering bar. Early team decisions compound — architecture, code review culture, on-call, how we ship.
What We're Looking For
5+ years shipping production software, with meaningful full-stack range (you've built the backend and the product surfaces on top of them).
A track record of driving large, ambiguous projects to done — not just completing tickets inside someone else's design.
Strong product instincts. You can tell when something is 90% there and still wrong, and you push until it's right.
You want massive ownership on an early team and are energized by the ambiguity that comes with it
Tech Stack & How We Work
TypeScript across the stack deployed on modern cloud infrastructure. Pragmatic about tools — we pick what lets us ship.
Small team, high trust, low process. Direct access to founders and customers. In-person bias.
Deploy AI agents to handle calls, texts, data entry, and repetitive tasks that slow teams down and drive up costs.
Key team members
Chuck Gartland
Rubab Uddin
Varun Dhananjaya
Obaid Khan
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