# Full Stack Engineer at Maple > Onsite · United States · Unspecified · Full-stack · open. Source: https://alderhq.app/jobs/ashby%3Amaple%3Aa8c2ae7d-25d6-4b68-baf1-e58d02f3f069 (read 2026-11-10). ## Facts (observed) - Company: [Maple](https://alderhq.app/companies/maple) - Location text: New York, NY (HQ) - Where it can be done from (inferred): Onsite · United States (evidence: "Location: New York, NY (HQ)") - Posted: 2025-04-13 (576 days ago) - First seen by alder: 2026-11-07 · last verified: 2026-11-07 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/maple/a8c2ae7d-25d6-4b68-baf1-e58d02f3f069 - Skills listed (inferred): TypeScript, JavaScript, React, CSS, Node.js, PostgreSQL, LLMs ## Pay and sponsorship - Posted pay: $120k–$250k per year (from the listing's pay field) - Market band for similar posted roles (New York, n 36): p25 $167k, median $183k, p75 $220k ## Description (the employer's text) ### 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. ### About the role As a Full Stack Engineer, you’ll work across our entire stack, from real-time voice interactions to operational tooling and backend logic. You’ll help us build and scale the systems that power AI agents in the wild, working closely with product, infra, and design to deliver real value, fast. You’ll own features from end to end, touch everything from UIs to APIs, and help shape our internal architecture as we grow. You’ll be helping define how software represents real-world business logic at scale. We work in person, 5 days a week in our NYC office. Collaboration here is fast, noisy (in the best way), and high-trust. We move quickly, break things intentionally, and fix them just as fast. ### What you’ll do Build and maintain full-stack features across our TypeScript monorepo Work across frontend (React + Tailwind) and backend (Node.js + Postgres) systems Build internal tooling, customer dashboards, and agent management interfaces Design APIs and data models that reflect real-world workflows and logic Collaborate closely with design and product to simplify complex problems Help scale and harden core infrastructure as usage grows Own projects end to end — from user need to shipped product ### What we’re looking for Strong experience with TypeScript across both frontend and backend Fluency with React, CSS, modern component libraries, and design systems Experience designing and building APIs and data flows A product mindset: you care about speed, clarity, and usability Excitement about AI systems, voice interfaces, or modeling real-world logic Bonus: experience with Postgres, LLMs, Twilio, Sync Engines, or WebSockets 4–8+ years experience preferred, but we’re flexible for the right person ### 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. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Amaple%3Aa8c2ae7d-25d6-4b68-baf1-e58d02f3f069 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.