Posted 1 year, 9 months ago

Roles

Backend Data Science Security

Compensation Summary

Strong US-based (NYC/SF) wages

Locations

Remote

Contacts

careers@pipe.com

Description

Pipe helps businesses grow by allowing them to sell future recurring revenue for cash today. We make a two sided marketplace for these revenue receivables (legally what we're doing is factoring). For growing businesses: instead of selling equity (expensive, time consuming) or doing a debt round (expensive, time consuming) or getting other types of loans (expensive, time consuming), we plug in to your financial systems and underwrite you within 48 hours. As your revenues grow, we automatically adjust your trade limit. You always get the best price that the market is willing to provide for your revenue. Fast, easy, and no equity dilution. Our team is currently about 25 engineers / 15 product+designers, and we're looking to bring on a few more key engineers on the backend, security, and data science side of things. We’re also open to very experienced frontend candidates, but it’s less of a need right now. The security engineering job is primarily about using your backend skills to accomplish security-related projects -- previous security expertise is a plus, but not required. In terms of seniority, we’re looking for IC/Tech-lead shaped senior engineers; we have a healthy mix of experience levels on our current team, but would like to bring on more senior talent at the moment to help with a few key projects and expand our mentoring capabilities. Ideologically, we'd love to hire all types of engineers and be able to help them grow within the company, but right now we're too bandwidth constrained to hire for additional junior positions. We use Postgres, Golang, Kubernetes, Next.js/React/Typescript. We are entirely remote and don't scale wages based on geography (disrespectful, unfair, archaic.) We pay strong US-based (NYC/SF) wages and have a philosophy of keeping the team relatively small so that we can all grow and have a large impact on the company's trajectory. We'd rather spend money on good tooling and processes than wasting it "hyperscaling" our team size.

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