HiOperator is a next-gen customer service platform, combining AI and awesome people. We growing quickly and are looking for awesome folks to come with us on the journey in Buffalo & Dallas.
HiOperator's mission is to automate customer service by augmenting awesome humans with great technology. We believe that there’s a path to automation that greatly enhances the roles and career paths of customer service agents, rather than makes them obsolete.
We are a profitable, growth stage startup and our investors include Y Combinator, Hearst Lab, and 43North. We have been scaling exponentially and as a senior member of the HiOperator tech team, you will play a central role in delivering the software to achieve this mission through a combination of integrations, machine learning, and clever programming
HiOperator is working towards a highly unified, modular architecture to allow for (a) rapid development of new integrations and modules while (b) also remaining highly accessible for future engineers to easily get up to speed. As a lead engineer, you are expected to be well versed in the following technologies:
Our core product is a web application and several support services all running on Google Cloud. Your primary responsibilities will include the following:
Since we are a fast-growing company, there is an expectation that your role will evolve with new duties and responsibilities introduced over time. It’s all part of the startup fun!
Job offers are contingent on a satisfactory background check as permitted by law. Any falsification of your application or any other hiring materials is grounds for rescinding an offer or termination of employment.
HiOperator is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Come help us automate the customer service industry! Our stack is React, Node, Apollo GraphQL, and mySQL all running using serverless on Google Cloud.