Software Engineer, Full-Stack - Agents Cross-FA

Job summary

Build and ship production features across Superhuman’s products, including Grammarly, Coda, Superhuman Mail, and Go, using modern web frameworks and AI technologies. Collaborate with product, design, and engineering teams to develop reliable, scalable systems and AI-native experiences for users.

Job details

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. About Superhuman 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 workspaces, 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 superhuman.com. The Opportunity 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. What You’ll Do 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 What We’re Looking For 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 Proficiency in at least one programming language (e.g., Python, JavaScript/TypeScript, Java, Go, C++) Experience with web tech (React, Node.js, TypeScript) 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, TypeScript) Exposure to AI/ML tools, APIs, or frameworks (e.g., OpenAI, LangChain, TensorFlow, PyTorch) Familiarity with modern engineering workflows (Git, CI/CD, testing frameworks) Track record of shipping projects end-to-end Comfort navigating ambiguity and learning new technologies quickly Compensation And Benefits Superhuman offers all team members competitive pay along with a benefits package encompassing the following and more: Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits) Disability and life insurance options 401(k) and RRSP matching Paid parental leave 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time Generous stipends (including those for caregiving, pet care, wellness, your home office, and more) Annual professional development budget and opportunities Superhuman takes a market-based approach to compensation, so base pay may vary by location. Our US locations are categorized into two compensation zones based on proximity to our hub locations. Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined by compensation zone and may be modified in the future. Why You’ll Love It Here Learn by doing: You’ll work on meaningful problems with real users, not shadow projects Strong mentorship: Learn from engineers who’ve built and scaled products at companies like Google, Facebook, and Dropbox Real ownership: We trust early-career engineers with responsibility and support them as they grow Connected culture: Highly collaborative teams, in-person connection, and shared wins We encourage you to apply At Superhuman, we value our differences, and we encourage all to apply—especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Superhuman is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada). Compensation Range: CA$125K - CA$130K

What you’ll do

Build and ship production features across Superhuman’s products, including Grammarly, Coda, Superhuman Mail, and Go, using modern web frameworks and AI technologies. Collaborate with product, design, and engineering teams to develop reliable, scalable systems and AI-native experiences for users.

Requirements

Applicants must have or be pursuing a bachelor’s or master’s degree in computer science, engineering, or a related field, graduating in 2026 or 2027, or equivalent practical experience. They should have strong computer science fundamentals, proficiency in a programming language, web development experience, software project experience, familiarity with system design and back-end architecture, and the ability to collaborate and work independently.

Benefits

• Health Care • Medical Insurance • Dental Insurance • Vision Insurance • Mental Health Benefits • Fertility Benefits • Disability Insurance • Life Insurance • 401(k) Matching • RRSP Matching • Paid Parental Leave • Paid Time Off • Paid Holidays • Floating Holidays • Flexible Sick Time • Caregiving Stipend • Pet Care Stipend • Wellness Stipend • Home Office Stipend • Professional Development Budget

Listed skills

• Node.js · Preferred
• Go · Preferred
• React · Preferred
• JavaScript · Preferred
• TypeScript · Preferred
• Java · Preferred
• C++ · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Computer Science Fundamentals
• Data Structures
• Algorithms
• Software Design
• Python
• JavaScript
• TypeScript
• Java
• Go
• C++
• React
• Node.js
• System Design
• Databases
• Back-End Architecture
• Large Language Models

Job areas

• Software
• Technology
• Engineering