Please check our Notion doc to learn more about our mission, founders, and culture.
What You’ll BuildThe AI era is here and the only way to survive is to learn fast and automate everything.
As a developer, you may already feel that the full automation of software engineering is right around the corner.
Your job at Pensive as a full-stack engineer will be to build software that enables college instructors, students, and our team learn fast and automate everything.
Specifically you will build:
AI grading/tutoring platform to help instructors save time and help millions of students learn faster.
Build the MVP of our new product that already has $10B+ enterprises as customers.
Automation for every part of the business, from data pipelines to customer onboarding. We believe fully autonomous business will be possible soon and need your contribution.
1+ year of experience in software development
Fluency in Python and React/Typescript
Ability to ship fast using AI tools, but your PRs are clean, tested, and don't look AI-generated.
Ability to learn fast and adapt to rapid changes
Have founded a company or perviously was an early-hire
Have your own workflow for generating and reviewing AI-assisted code
Backend: Python, FastAPI, Postgres
Frontend: Typescript, React, TailwindCSS, Tanstack Router
Infra: GCP, Cloud Run, Firebase
Mobile App: Capacitor
Interview Chat: 15 minutes
Take home test: (8 hours)
Work trial (paid)
Skills Required
- 1+ year of experience in software development
- Fluency in Python and React/Typescript
- Ability to ship fast using AI tools while producing clean, tested PRs
- Ability to learn fast and adapt to rapid changes
- Founded a company or previously was an early-hire
- Have your own workflow for generating and reviewing AI-assisted code
What We Do
Pensive is an AI-powered grading and tutoring platform designed for higher education. It automates grading tasks for universities running large lectures and provides personalized feedback to students, which can reduce grading time by up to ten times compared to traditional methods. The platform helps professors and teaching assistants manage feedback efficiently while bridging the gap between massive scale and personal engagement in the AI era.
