AI-Native Software Engineer, Early-Career, Hybrid

Engg; San Francisco (CA); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health care

Disability and life insurance

401(k) and RRSP matching

Parental leave

Paid time off

Job summary

Superhuman is 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 alongside 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.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, graduating in 2026/2027.
• Strong CS fundamentals and data structures, algorithms, and software design.
• Proficiency in at least one language (Python, JavaScript/TypeScript, Java, Go, C++).
• Experience building software via internships, projects, or coursework.
• AI-native mindset and experience with AI coding agents is a plus.

Responsibilities

• Ship production-grade code affecting millions of users.
• Build and iterate features across Grammarly, Coda, Superhuman Mail, and Go.
• Work with AI technologies and modern web frameworks.
• Collaborate with product, design, and engineering teams for great UX.
• Learn system design, deployment, and scalability best practices.

Skills

CS fundamentals

Programming languages

AI coding agents

Communication skills

Independent work

Education

Bachelor’s or Master’s in CS or Engineering

Tools

React

Node.js

TypeScript

OpenAI APIs

LangChain

Job description

Superhuman is 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 alongside 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.