---
title: 'GTM Engineer at Maple'
canonical: 'https://feeny.ai/job/gtm-engineer-maple-new-york-erp90f17qfna'
type: 'job'
last_seen: '2026-09-05'
---

# GTM Engineer at Maple

- **Company:** Maple
- **Location:** New York, NY
- **Compensation:** $100k–$200k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-04-14
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/maple/99c07e10-f81a-4b62-97c7-9388128c708a

## Job description

HI 👋 I’M AIDAN, FOUNDER OF MAPLE.

At Maple https://maple.inc, 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.

## ABOUT THE ROLE

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.

## WHAT YOU’LL DO

- Build and automate pipelines that close loops from the top of the funnel for any channel to closed-won revenue.
- A rep tooling layer that makes a Maple AE genuinely faster than an AE at any other company.
- Work with sales, marketing, and ops to solve bottlenecks and unlock growth
- Keep our data clean and systems running smoothly
- Prototype, test, and roll out new tools and automations
- Whatever other system needs to exist six months from now that neither of us has thought of yet. You'll find them. That's half the job.

## WHAT WE’RE LOOKING FOR

- 1–3 years in a technical, ops, or growth role
- Gets excited by the business problem underneath the engineering problem.
- Has a reasonable amount of context on, or genuine curiosity about, how modern GTM actually works. You've at least heard of cold outbound, attribution, PLG, partner channels, SDR motions.
- Operates with zero hand-holding. You don't ask "what should I build next", you show up with three options and an opinion on which is right.
- Writes code that ships, not code that architects. When you see a problem, your instinct is to build the scrappy 40% solution, measure it, and iterate and not to design the perfect system first.
- Uses modern tools (Claude, Cursor, Linear, whatever) fluently and without shame.
- If you're not sure whether you're qualified, apply anyway — we hire on trajectory and wiring, not pedigree.

## HOW WE WORK

- We optimize for leverage. That means great internal tooling, fast CI/CD, and code that scales across many customer types
- We believe in deep ownership. Engineers here talk to users, design features, and ship fast
- We value clarity over process. You’ll spend most of your day building, not waiting on decisions
- We move in person. We’re a tight-knit team that moves fast and solves problems together

## WHAT WE OFFER

- Competitive salary + meaningful equity
- A real product with real usage and growing revenue
- Strong In-person culture, fast feedback loops, and zero bureaucracy
- A small team that feels like a founding team
- Full health, dental, vision, 401k, life insurance, and unlimited PTO
- Tools budget, coffee budget, whatever-you-need-to-be-great budget

Want to help reimagine how software works for real-world businesses? Let’s talk.

## About Maple

## Company Overview
- **One-liner**: Maple builds human-like voice AI agents that answer phone calls, take orders, book reservations, and handle payments for restaurants, syncing directly to existing POS systems.
- **Entity Type**: Private (funding stage not publicly disclosed)
- **Headquarters**: New York, New York, United States
- **Founded**: 2023
- **Founders**: Not publicly available (LinkedIn lists Burthomley .J Douzable as Principal Owner)

## Core Business
- **Primary Industry**: Voice AI for restaurants and hospitality
- **Target Customers**: B2B — restaurants (independent, multi-location, and enterprise), with planned expansion into drive-thrus, kiosks, and other phone-based customer service settings for neighborhood businesses.
- **Mission or Purpose**: "Give every neighborhood business an always-on teammate who never misses a guest, so great service is effortless everywhere."

## Products & Services
- **Maple Voice AI Agent**: An AI-powered phone agent that answers inbound calls 24/7. It handles complex orders (modifications, combos, allergy requests), manages reservations, processes takeout and delivery requests, and addresses general inquiries. It features intelligent upselling to increase average ticket sizes by 25% and supports multiple languages and dialects. The system integrates in real-time with major POS systems and can be set up in as little as 24 hours.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Over 1,000 restaurant owners are customers; the platform has processed over 2.1 million calls and 81,000 orders across 567 cities as of the data capture date.
- **Notable Investors/Partners**: Specific investors are not publicly listed. The company offers a partner program for agencies and consultancies (revenue share, marketing co-op).
- **Growth Signals**: The company is actively hiring (10+ open roles across engineering, sales, and growth), indicating a growth phase. It has a presence in the U.S., Argentina, and Canada.

## Competitive Advantages
- **Deep Restaurant Specialization**: Handles complex restaurant-specific tasks like custom combos, allergy notes, and multi-item modifications, going beyond simple FAQ answering.
- **POS Integration**: Real-time, direct integration with major POS systems ensures orders flow error-free to the kitchen without manual re-entry.
- **Always-On Revenue Capture**: Captures orders and appointments during off-hours (late night, holidays), preventing lost revenue from missed calls.
- **Accuracy and Upselling**: Claims 99% accuracy on orders and a proven 25% increase in average ticket size through intelligent upselling.

## Strategic Focus
- **Vertical Expansion**: Scaling from independent restaurants to enterprise restaurant groups and expanding into adjacent verticals like drive-thrus and kiosks.
- **Product Development**: Continued investment in AI and machine learning (hiring ML Research Engineers, Full Stack Engineers) to improve voice agent capabilities and integration depth.
- **Partner Ecosystem**: Growing through a partner program to reach more merchants via agencies and consultancies.

## Why Work Here
- **High-Impact, Early-Stage Environment**: A small, growing team (17 employees as per LinkedIn) where individual contributions have significant impact on the product and company trajectory.
- **Innovative Mission**: Working on cutting-edge voice AI technology in a practical, high-demand market (hospitality), with a clear vision for broader expansion.
- **Culture**: The company values are Innovation, Excellence, Customer-Centricity, and Integrity. The careers page highlights a "collaborative, high-impact" environment.
- **Perks & Benefits**: Competitive salary + equity, flexible work arrangements, health/dental/vision coverage, professional growth budget, and events/happy hours.
- **Work Policy**: The New York HQ is in-office, but the company also hires for remote roles (e.g., Customer Support in LatAm and South Africa), suggesting a hybrid or role-dependent flexibility. Job postings on Built In list both "In-Office" (New York, NY) and "Remote" options.

## Sources
1. [Maple Website](https://maple.inc/)
2. [Maple Careers Page](https://maple.inc/careers/)
3. [Built In NYC Profile](https://builtin.com/company/maple-0)
4. [LinkedIn Company Page](https://www.linkedin.com/company/mapleai)
5. [Maple Jobs Board (Ashby)](https://jobs.ashbyhq.com/maple)

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- [Growth Engineer](https://feeny.ai/job/growth-engineer-maple-new-york-zjtcnnwbs5g2) — New York, NY
- [Forward Deployed Engineer - Growth](https://feeny.ai/job/forward-deployed-engineer-growth-maple-new-york-x219hg8zhb5z) — New York, NY
- [Customer Support Representative (South Africa, Remote)](https://feeny.ai/job/customer-support-representative-south-africa-remote-maple-africa-y8v80t48cg83) — Africa
- [Customer Support Representative (LatAm, Remote)](https://feeny.ai/job/customer-support-representative-latam-remote-maple-latin-america-a8g0e06dzv3v) — Latin America
- [SMB Account Executive](https://feeny.ai/job/smb-account-executive-maple-new-york-tznsp4g4yxzp) — New York, NY
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