Automation, Big Data Technology, Containerization, Continuous Integration & Continuous Delivery - CI/CD, Cypress, Docker, GitLab, JavaScript, Kubernetes-K8s, Machine learning techniques, Natural Language Processing (NLP), REST API, SaaS, Software Development, TypeScript, XML-JSON
About SupportLogic
SupportLogic SX is a platform that elevates customer service experience by leveraging natural language processing (NLP) and machine learning (ML). The platform seamlessly integrates with your existing ticketing system (such as Salesforce Service Cloud, Zendesk, Microsoft Dynamics), reads all the comments in every ticket to extract key signals related to customer sentiment and churn, predicting outcomes and providing proactive recommendations. Customer Support and Success organizations use the platform to stay on top of how their customers feel about them thus improving customer relationships, products and operations.
We are a well-funded startup with investments from top tier investors in Silicon Valley (Sorenson Ventures, Sierra Ventures) and a customer list that is a who’s-who of Enterprise IT companies. We are privileged to have customers who are not only outspoken fans of our product but also prove it by renewing every year.
Overview of role:
The team at SupportLogic is dedicated to improving the experience of today's Support professionals while helping companies serve and retain their customers through intelligent escalations, proactive interactions, and problem resolutions. In order to serve our customers in a way that enables them to serve their users, we are currently seeking customer-centric, energetic, and highly motivated individuals to join our Quality Engineering team. So, if you are driven by endless curiosity and passionate about transforming the customer support space using the power of AI and ML technologies, we want to talk with you!
How your work will support our growth:
About you (don't worry if you don't have this whole list- we expect you to learn with us):
How we support our employees’ growth and well-being:
Predictive and Generative AI for Customer Support Protect your brand experience. Predict and prevent customer escalations. Observe and act on the voice of the customer in real time.