Invoice Butler is hiring a software engineer that has 3-6 years of experience. We are looking for a strong programmer. Interest in data engineering is a plus. You will join the team of founding engineers on the team and get ground floor experience at one of NY's fastest growing startups.
WHAT WE DO:
Invoice Butler follows up on unpaid invoices and gets our customers paid. We integrate with our customers' invoicing systems, accounting systems, and emails to give customers full visibility into their cash collections. We then take care of all of the back-and-forth with their customers, automating replies and using AI to generate contextful responses.
We are gaining a lot of customers and need to build out more automation for our platform. We are well-capitalized with several years of runway and a healthy (and increasing!) stream of revenue.
WHY SHOULD YOU WORK HERE:
- You will have a huge impact (directly, on thousands of companies' bottom lines).
- You'll be able to take full ownership of entire projects, but also be given the resources you need to solve any problems you run into.
- You'll also have a lot of freedom to work on different areas that interest you.
- Our team has incredible experience and this will be a great place to learn:
- Our CTO is a very experienced engineer: she was the first engineer at MongoDB and a senior engineer at Google and Google Ventures, so it so it's a great place to learn.
- CEO is a 2x founder, early Dropbox, Clockwise and Asana GTM executive, and YC 2016 alum where he was directly advised by Sam Altman.
RESPONSIBILITIES:
You will be responsible for every part of the development process from acquiring the data, cleaning, normalizing, and storing it; doing data analysis on it, drawing conclusions and presenting them, and building the solutions. This will include creating and presenting Jupyter notebooks, interacting with customers to understand their needs, building greenfield code, working with AWS, and scaling your work. Depending on your interests, you may be building classifiers, fine-tuning LLMs, data cleaning and clustering, building state machines and data ingestion pipelines, implementing front-end features, and setting up infrastructure. We are currently two engineers, so everyone does some of everything.
You'll be expected to learn how to scope and execute increasingly complex projects at the highest levels of quality. This is not a position for people interested in theory, but people who want to write excellent software.
The position is language agnostic, but applicants should have a strong grasp of algorithms and data structures. Interviews won't ask "gotcha" or trivia questions, but you will be asked to: hear a problem, come up with a solution, translate it into code, and discuss tradeoffs.
The interview process consists of several hours of traditional coding-on-a-whiteboard-style technical questions.
Our stack is Python on EC2. We use Apache Airflow for pipelines, Postgres for a database, and Pandas for most data manipulation.