Founding Engineer
Noto
| Company | Noto |
| Category | Engineering |
| Location | New York City |
| Remote | Hybrid |
| Employment | Not stated |
| Level | Not stated |
| Salary | USD 140k–170k |
| Posted | 10 Jul 2025 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
ABOUT NOTO
Noto is building the AI native operating system for after school businesses like tutoring centers, music schools, and sports academies. Our mission is to be the core platform that powers the 150,000 after school businesses in the country.
Despite their size and importance, these businesses are currently underserved by technology, typically relying on a fragmented mix of basic point solutions and outdated legacy software. Noto is building an all-in-one system that uses AI to provide a magical experiences to a large customer base who are used to sticky notes and spreadsheets.
Noto is fresh off a $3.8M seed round, backed by top tier VC’s like Base10 and South Park Commons. Noto is founded by two technical founders AJ Ding and Steve Wang and is based out of NYC.
We’re excited to build our core team. Join Noto to build great software for the small businesses of the world!
[https://app.ashbyhq.com/api/images/user-content/f9cbb205-0c60-416d-9665-7567b61f256a/4be3625e-18e1-4ec6-a51c-4cc4e5cea3e4/karaoke%20with%20carrie%20and%20tpr.jpg]
(us at karaoke with one of our favorite customers)
TEAM BACKGROUND 🤝🏻
AJ Ding https://www.linkedin.com/in/aj-ding-90826856/ is the CEO of Noto. He's a second-time founder and previously built an AI recruiting company https://www.crunchbase.com/organization/hirefly. He was a machine learning engineer and data scientist at Quora, Lyft, & Meta. He studied Statistics at Yale and most importantly, he comes from a family of small business owners.
Steve https://www.linkedin.com/in/stevewang223/ is the CTO of Noto. He was previously the Head of Engineering at Nitra https://www.nitra.com/, an a16z backed vertical SaaS startup that built back office automation for doctors. He's worked in data science and engineering at Lyft. He studied math at Harvard, and his family is from Canada.
LOCATION 📍
- Noto is based in person in New York, near union square
- 4 days in office 1 day WFH
- 1 week per quarter work from anywhere
- Occasional travel for team off sites and customer visits
WORK CULTURE 💼
- High Camaraderie: We are in the trenches together, so we take care of each other and celebrate our collective success.
- Low Ego: We believe in collaboration over hierarchy 🤝. We have a flat decision-making structure—great ideas can come from anywhere.
- Work hard. Team members are asked to work 50-60 hour weeks. Some late nights and occasional weekends will be expected. But this isn’t about burnout—it’s about growth and impact. If you want to build something meaningful and grow fast, let’s talk. 🪴
- Have fun too! We are not just about grinding. We recently took a work offsite to Mexico City, where we did a hackathon, explored the city, and bonded over tacos. 🌮. In the past, we've hosted a Karaoke Night with one of our first customers, a music school in Manhattan—turns out debugging and belting out pop songs go hand in hand. 🎤
- Growth Mindset: We also attend industry conferences to connect with our users, learn, network, and push the boundaries of our craft
IDEAL CANDIDATE 🎯
- 2+ years of experience
- Full-Stack
- You are a product engineer. You love to build product that users touch.
- You love startups. Not just the hype, but the “let’s build something real” kind 🌐
- You want autonomy—to make key technical & product decisions, move fast, and help shape Noto’s future. There’s no ceiling to your growth here— take on as much responsibility as you’re ready for🔑
- You care about small business owners and want to use software & AI to help them thrive 🤝
OUR TECH STACK🏗️
You don’t need to know them all. We trust you'll learn quickly.
- Frontend: React, Next.js
- Backend: Node.js, PostgreSQL, Drizzle
- Infrastructure: tRPC in a Monorepo, deployed on Vercel
- AI: LLMs to streamline small business operations, data pipelines for seamless onboarding, and agenti
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