Maple

Maple

Visit websiteLinkedIn11-50 employeesH1B sponsor

Maple builds AI voice agents that answer calls, take orders, book appointments, and handle payments for restaurants and other local businesses, syncing with existing POS and booking systems. It sells this as a software service that powers phone ordering, reservations, drive-thru, and kiosk experiences. Founded in 2023 and headquartered in New York, the company is privately held.

Open Positions at Maple

6 open positions

New York, NY, USAEntry Level / Mid Level
$100k - $200k/yr

Maple is looking for a Growth Engineer to build the pipelines, sales tooling, automations, and experiments that directly drive revenue. You’ll work closely with sales, marketing, and operations in a hands-on, in-person founding-team environment.

5 months ago
New York, NY, USAEntry Level / Mid Level
$100k - $200k/yr

Build the revenue, sales, growth, and internal tooling systems that help Maple scale its AI agents for local businesses. This hands-on role combines scrappy software development, experimentation, automation, and close collaboration with sales, marketing, and operations.

5 months ago
New York, NY, USAEntry Level / Mid Level
$100k - $200k/yr

Own the systems, automations, and internal tools that power Maple’s revenue engine, from lead generation through closed-won business. This is a high-ownership growth engineering role combining technical execution, experimentation, and rep-facing tooling.

5 months ago
New York, NY, USAEntry Level / Mid Level

Join Maple, a company building AI agents for local businesses, in a role that emphasizes ownership, innovation, and collaboration.

1 year ago
New York, NY, USAMid Level / Senior
$120k - $250k/yr

Join Maple as a Full Stack Engineer building real-time voice-agent systems, customer dashboards, internal tools, APIs, and backend logic for local businesses. You’ll own features end to end in a fast-moving, in-person NYC environment.

over 1 year ago
New York, NY, USAMid Level / Senior
$120k - $250k/yr

Build and deploy advanced ML systems powering Maple’s natural-voice agents for real-world business interactions. You’ll combine research in speech, language models, and autonomous agents with production optimization and direct product impact.

over 1 year ago
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