At Maple, we’re building AI agents that work for local businesses: restaurants, salons, repair shops, and everything in between. These agents answer calls, take orders, book appointments, and handle real customer interactions over natural voice. Our bigger mission is to build 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. This role will own the revenue-generating systems at Maple end-to-end, including 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. This involves plumbing, experimentation, and product-adjacent rep-facing tooling, all of which are high-leverage and measurable.
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Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed