Maple builds AI voice agents that answer calls, take orders, and book appointments for restaurants, and it is building automated ontologies that model how businesses operate. This role owns Maple's revenue systems end-to-end: lead pipelines, rep tooling, growth experiments, and data. Stack details beyond CI/CD and tools like Claude, Cursor, and Linear are not specified.
Hi 👋 I’m Aidan, founder of Maple.
At Maple, we’re building AI agents that work for restaurants. These agents answer calls, take orders, book appointments, and handle real customer interactions over natural voice.
But our bigger mission goes deeper: we’re building automated ontologies that model how businesses actually operate — their services, workflows, constraints, and language — so our agents can adapt to them instantly. We meet businesses where they are, not where software wants them to be.
We have many customers, strong revenue growth, years of runway, and backing from world-class investors. I’ll share more once we meet.
You will own the revenue-generating systems at Maple end-to-end. That means the pipes that feed leads in, the tools reps use to close them, the experiments we run to figure out what works, and the plumbing that tells us whether any of it is actually moving the business. Some of this is plumbing. Some of it is experimentation. Some of it is product-adjacent rep-facing tooling. All of it is high-leverage, and all of it is measurable.
How we work
What we offer
Want to help reimagine how software works for real-world businesses? Let’s talk.
Compensation: $100K - $200K