Software Engineer, Full-Stack - Agents Cross-FA

Engineering, Product, Design, and Marketing Engineering

• Zone 1 CA $125K – CA $130K

Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time alongside in-person collaboration that fosters trust, innovation, and a strong team culture. This role requires at least 2 days per week in our Toronto hub.

Grammarly is now part of Superhuman
, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company’s products include Grammarly’s writing assistance, Coda’s collaborative work spaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically.

Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at  .

We’re hiring early-career Software Engineers who want to learn fast, ship real product, and build AI-native software used by millions.

From day one, you’ll work on production systems — not toy problems — alongside experienced engineers who care deeply about craft, judgment, and impact. You’ll contribute to features across our core products, learn how large-scale systems are designed and shipped, and develop a strong engineering foundation in a modern, AI-first environment.

This role is for engineers who are curious, thoughtful, and excited to turn ideas into real outcomes.

As a Software Engineer at Superhuman, you will:

Ship production-grade code that impacts over 40 million daily active users across our suite of AI-powered productivity tools

Build and iterate on features for Grammarly, Coda, Superhuman Mail, and Go

Work with cutting-edge AI technologies and modern web frameworks

Collaborate closely with product, design, and engineering teams to deliver delightful user experiences

Develop AI-native features that leverage large language models, natural language processing, and intelligent automation

Learn how to build large-scale distributed systems that are highly available and reliable

Learn best practices around system design, testing, deployment, and scalability

Contribute to technical discussions and help shape the direction of your team’s projects

Grow rapidly through mentorship, feedback, and hands‑on ownership of real projects

Make a meaningful impact on the lives of millions of people who rely on our products every day

Must-haves:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience), graduating in 2026 or 2027

Strong foundation in computer science fundamentals, including data structures, algorithms, and software design

Experience with web tech (React, Node.js, Type Script)

Experience building software through internships, personal projects, open source contributions, hackathons, or coursework

AI native and experienced in using AI coding agents like Claude Code, Cursor, and Codex for productivity gains

Solid understanding of system design, databases, and back‑end architecture

Excellent communication skills and ability to collaborate effectively with cross-functional teams

A demonstrated ability to work independently with minimal guidance, proactively manage tasks and priorities, analyze and execute work efficiently, and thrive in a fast‑paced, results-driven environment

Nice-to-haves:

Previous internship experience at a technology company

Experience with web tech (React, Node.js, Type Script)

Exposure to AI/ML tools, APIs,…