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.
What You’ll Do
Architect the Playbook: Take messy, manual coordination layers (emails, spreadsheets, legacy ERPs) from Fortune 500 customers and compress them into structured, reliable agent workflows.
Drive Success via Consulting: Act as the lead "Solutions Architect" for our customers. You don't just answer questions; you consult on their business processes to ensure our AI agents integrate seamlessly into their daily operations.
Own the Feedback Loop: You are the bridge between the customer and engineering. You’ll identify why an agent hit a 20% failure rate and define the operational or product fix required to get it to 95% autonomy.
Scalable BizOps: Build the internal "Agent Command Center." Design the QA frameworks, documentation standards, and monitoring systems that will allow us to scale from 10 agents to 10,000.
End-to-End Ownership: You own the customer journey from post-sale implementation to long-term expansion. If an agent fails in production at 2 AM, you own the process for how we fix it and ensure it never happens again.
What We’re Looking For
4+ years of "High-Stakes" Experience: Background in BizOps, Management Consulting, or Lead Solutions/Customer Success roles at a high-growth SaaS or logistics company.
Technical Literacy: You don’t need to write production code, but you should be a "power user" of the modern stack (Zapier, n8n, SQL, or complex Excel/Airtable logic). You understand how APIs and webhooks work.
Operational Rigor: You have a "systems-first" mindset. You can take a 50-step manual process and map it out with such clarity that an LLM (or an engineer) can execute it.
Extreme Communication: You can hold your own in a boardroom with Fortune 500 executives and then pivot to a deep-dive session with our engineering team.
The Mindset: You are energized by ambiguity, move fast, and want to own a massive vertical of the business.
How We Work
Small Team, High Trust: You will work directly with the founders and have a seat at the table for product strategy.
Bias for Action: We value shipping and iterating over long-winded planning docs.
In-Person Culture: Based in San Francisco to maximize high-bandwidth collaboration and rapid iteration.
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
Jobr aggregates jobs directly from company career portals — no middlemen. Our team applies on your behalf with AI-tailored resumes, reviewed by a human before submission.