Software Engineer, Full-Stack

Superhuman

. Ship production-grade code impacting over 40 million daily active users across AI-powered productivity tools .

Posted 9/29/2026full-timeToronto • CanadaMid-LevelSenior💰 CA$125,000 - CA$130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates proficiency in programming languages such as Python, JavaScript/TypeScript, and Java, with a strong foundation in computer science fundamentals. Capable of developing AI-native features and collaborating effectively with cross-functional teams to deliver impactful user experiences.

Highest-signal resume keywords

Proficiency In PythonExperience With ReactAI-Native Experience Using AI Coding AgentsStrong Foundation In Data StructuresUnderstanding Of System Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Programming LanguagesData StructuresAlgorithmsSoftware DesignWeb TechnologiesAI-Native DevelopmentBack-End ArchitectureLarge Language ModelsNatural Language ProcessingIntelligent Automation

Soft Skills

Excellent Communication SkillsAbility To Collaborate EffectivelyProactive Task ManagementComfort Navigating AmbiguityAbility To Work Independently

Tools & Technologies

GitCI/CDTesting FrameworksOpenAILangChainTensorFlowPyTorchNode.jsTypeScriptClaude Code

Certifications & Qualifications

Bachelor’s Degree In Computer ScienceMaster’s Degree In Engineering

Industry Keywords

AI-Powered Productivity ToolsLarge-Scale Distributed SystemsTechnical DiscussionsUser ExperiencesFast-Paced Environment

Tech Stack

Tools & technologies

Distributed SystemsJavaJavaScriptNode.jsOpen SourcePythonPyTorchReactTensorflowTypeScriptC++Go

About the role

Key responsibilities & impact

Ship production-grade code impacting over 40 million daily active users across 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 with product, design, and engineering teams to deliver user experiences
Develop AI-native features using large language models, natural language processing, and intelligent automation
Learn and build large-scale distributed systems that are highly available and reliable
Apply best practices in system design, testing, deployment, and scalability
Contribute to technical discussions and help shape team project direction
Grow through mentorship, feedback, and hands-on ownership of real projects
Make an impact on millions of product users

Requirements

What you’ll need

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, such as Python, JavaScript/TypeScript, Java, Go, or C++
Experience with web technologies, including React, Node.js, and TypeScript
Experience building software through internships, personal projects, open source contributions, hackathons, or coursework
AI-native experience using AI coding agents such as 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
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
Previous internship experience at a technology company is nice to have
Exposure to AI/ML tools, APIs, or frameworks such as OpenAI, LangChain, TensorFlow, or PyTorch is nice to have
Familiarity with Git, CI/CD, and testing frameworks is nice to have
Track record of shipping projects end-to-end is nice to have
Comfort navigating ambiguity and learning new technologies quickly is nice to have

Benefits

Comp & perks

Excellent health care, including 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
Flexible sick time
Generous caregiving stipends
Pet care stipends
Wellness stipends
Home office stipends
Annual professional development budget
Professional development opportunities
Mentorship and feedback
Flexible hybrid working model
In-person collaboration and connected culture