Early-career full-stack engineer building AI-native features for Superhuman’s Grammarly, Coda, Mail, and Go productivity products. Developing scalable web systems used by millions.
Responsibilities
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
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
Excellent health care, including medical, dental, vision, mental health, and fertility benefits
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