About Us

Proton.ai is revolutionizing wholesale distribution. Distributors sell nearly every physical good you come across. Key to the economy, they make up over 28% of GDP. But there’s a problem. Selling as a distributor is complicated. They carry hundreds of thousands of complicated products, making it impossible for sales teams to know what their customers need. Proton cuts through this complexity with machine learning. We provide a solution that modernizes distributors' sales efforts. And in doing so, we help distributors better serve their customers and grow.

Our company is in hypergrowth mode. We’ve grown by more than six fold year over year.

Note that while this role is open to all comers, it is intended for students finishing a degree at the end of the 2021-2022 academic year. We will review applications weekly, and interviews will happen as necessary (i.e., there are no set dates).

The Role

At Proton, we're bringing cutting-edge machine learning to B2B distribution. By predicting what customers will buy, we're improving sales and efficiency, and driving growth. Of course, we have to do this in a smart, scalable way, and take steps not to overload the user with data. Our goal is to make things easier for our users to be effective with minimal effort on their part, not to create a new Excel.

As a Backend Engineer, you'll work with our Python and Go code to improve the workflows of distribution sales reps. You'll have access to our growing backend group across the company working across our different products. You'll also have access to actual users to workshop your features, too.

For this new graduate role, we're looking for someone high-potential we can build, nurture, and support in their career, and take along for an exciting startup adventure.

What you'll do:

• Work with UX designers, product managers, and frontend engineers to help devise, design, build, and revise new features.

• You'll achieve this through collaborating with your team to deliver a seamless, performant experience across the web and mobile device

• Collaborate with data scientists to deliver thoughtful features powered by cutting-edge machine learning models.

Experience that may be helpful:

• Our backend code is written in Python and Go, deployed using a microservice architecture

• You will need some familiarity with big data and deploying scalable and tested code, but specific knowledge of Python or Go is not required

Benefits

This is a full-time, fully remote position, with occasional paid travel to in-person meetups. It includes a salary of $100,000 (United States—cost of living adjusted for other countries), plus equity, health benefits (we pay 99%), 401k and a generous vacation policy.

We're a remote-first company and open to candidates anywhere in the world. While we try to accommodate employee's schedules, our business largely operates on East Coast hours.

As you may have noticed, our hiring process is a little different. At Proton.ai, we assess candidates using an unbiased and thoughtful process. We ask questions directly related to the work you will be doing. Resumes are optional. They are not the focus of our selection process.

You can read more about that — and learn more about our engineering organization more generally — on our engineering blog.