Posted 3 years, 4 months ago
Roles
Engineering Manager Frontend Engineer Data Engineer Backend Engineer QA EngineerCompensation Summary
10% above market rate and equity offered to everyone
Locations
Worldwide
Description
At Gorgias we build the e-commerce help desk that turns customer service into a profit center. Our engineering org is growing fast. Multiple teams hiring at all positions, backend engineers, frontend engineers, data engineers and QA engineers. Tech stack: Python, NodeJs, React, Kubernetes, GCP. We pay 10% above market rate and offer equity to everyone. All opened positions: https://jobs.lever.co/gorgias. I am Engineering Manager of the Self-serve team, more info about what we do: The Self-serve team is building tools to help e-commerce websites deflect tickets before they are created. Concretely, we have 2 main projects right now: - the Chat: a chat bubble our clients can integrate on their website to offer live support - the Help Center: a "FAQ style" website our clients can create and link to their website. For each of them, we are building the foundations from scratch with modern technologies (React, WebSockets, NodeJS) and then enhance those with "Self-service features". Instead of just being able to talk to someone, our chat also offers to manage your order directly. Similarly, our FAQ is not just a collection of articles but we are making it into a fully fledged order management dashboard. On a day to day basis it means: - improving the chat (adding video support, support shopping from the chat or optimizing the impact it has on our clients's websites). - building the help center from scratch, allow for our thousands of clients to generate a website on the fly with custom domain name, server-side rendering and great performance and scaling capacities. - integrating with external services to improve our Self-service features: Shopify to offer live shopping from the Chat, AfterShip to offer a better tracking experience, Twilio to improve login security... Our goal: reducing the number of tickets human agents have to work on for our customers. The team is new, with what we've built so far we successfully reduce that number by 15%, we aim to reach 60% in a year!
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