Stuut automates your entire order-to-cash process. Collect 40% more revenue with AI agents that actually do the work. Live and collecting cash in days. Backed by a16z.
About the role
At Stuut, you'll build AI agents that do real order-to-cash work: collecting overdue invoices, responding to customer emails about invoices and payments, applying cash, and resolving disputes and deductions. You'll build the agents, their harnesses, and the product that makes them reliable in production. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Have built an agent that calls tools and takes real actions, at work or on your own
- Ask "how would we know if this is wrong?" before you ship, and answer it with evals and traces
- Have handled long-running agent work: state, retries, and runs that pause for a person and resume
- Want to work where a wrong action costs a customer real money, and design for that
- Like learning a new domain from the people who do the work. No finance background required
More about this role
Stuut is the AI coworker that runs order-to-cash for the world’s leading enterprises. Across order management, credit, collections, payments, cash application, disputes and deductions, Stuut does the work end to end and keeps going until the cash hits the bank.
Over 150 companies, spanning the mid-market to the Fortune 50, including Honeywell, ZoomInfo and PerkinElmer, use Stuut to unlock up to 40% more cash flow and cut DSO by 47%. More than $3 billion has moved through the platform to date.
Founded in New York by Tarek Alaruri and Ben Winter, Stuut has raised $93 million from Insight Partners, Andreessen Horowitz, M12, Microsoft’s Venture Fund, and others. Learn more at stuut.ai .
At Stuut, you'll build AI agents that do real order-to-cash work: collecting overdue invoices, responding to customer emails about invoices and payments, applying cash, and resolving disputes and deductions. You'll build the agents, their harnesses, and the product that makes them reliable in production.
Every customer has different processes, policies, and rules. Our agents adapt to how customers work, not the other way around. They need to use tools, manage long-running tasks, recover from failures,...
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