Software Engineer Intern

Luca

Date listed

2 months ago

About The Role

Global retail represents $30 trillion USD in revenue, but the revenue tools available to manage retail revenue decisions are antiquated. Operators in retail organizations make ad hoc pricing decisions in spreadsheets, without sufficient measurement or accountability.

At Luca, we are on a mission to bring world class price optimization solutions to retail, powered by machine learning and delivered via an intuitive, data rich and configurable dashboard.

We were founded in January 2023, and are backed by Y Combinator and Menlo Ventures. We are a small team of engineers and data scientists, and serve mid to large-size enterprise retailers.

Today we serve several grocery, apparel, CPG and furniture retailers who have deeply entrenched Luca into their daily pricing and promotional processes. Our customers rave about Luca’s easy-to-use UI and ML-powered insights. We are now looking for the engineer who helps us take these early signals of PMF and helps us make it repeatable and scalable.

TLDR

We are looking for an engineering intern to join our small, but scrappy team in San Francisco. This role is for you if you are a motivated and hard-working student excited to experience what it’s like being an engineer at an early-stage startup.

Our Technical Stack

  • Backend: TypeScript, NextJS, Prisma, tRPC/Zod
  • Frontend: TypeScript, React, RadixUI, Tailwind
  • Infra: AWS, Postgres, Vercel, Render
  • Data Science: Python

Qualifications

  • Currently pursuing a degree in Computer Science or other relevant technical field
  • Strong communication and collaboration skills
  • Previous experience working with React and NodeJS or interest in working with these technologies
  • Excited to work in-person in San Francisco

Bonus Qualifications

  • Demonstrated software engineer experience via an internship or other work experience
  • Experience working with React, Typescript, NodeJS during a prior internship
  • Familiarity or experience with Python and data science libraries like Pandas

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