We are passionate about the technical support space and machine learning. We dream in years, plan in months and ship in days. We are a distributed team spanning over seven timezones. Our culture is honest, fast paced, collaborative and very down to earth. We look to hire people who are curious, innovative, and strive for ongoing personal and professional growth.
SupportLogic is a well-funded and highly disruptive SaaS platform company that empowers innovative businesses like Nutanix, Rubrik, Qlik and Databricks to transform their Voice of the Customer programs and proactively improve their customer relationships, products and operations. SupportLogic’s Service Experience (SX) Platform uses natural language processing (NLP) and machine learning (ML) to harness and analyze customer sentiment signals at scale and in real-time. SupportLogic provides an abstraction layer for conventional ticketing systems (Systems of Record) such as Salesforce Service Cloud, Zendesk, JIRA, Microsoft Dynamics 365, and delivers relevant and timely insights and recommended actions to improve customer experience.
The UI Engineering Leader position is an Individual Contributor role requiring proven leadership and team building success, a deep technical background, proficiency in UI design and development, full-stack design principles, and clear communication, collaboration and relationship development skills. You love to delight customers with breath-takingly simple, user-friendly, effective web UIs that solve their real world problems efficiently.
We are seeking a Machine Learning Engineer interested in working with data scientists and software engineers to ensure ML models are deployed into production efficiently, effectively, and with high confidence in customer-facing predictions.
We are seeking a Senior Data Scientist with an interest in researching new ML and NLP models and techniques, researching and refining features, and evaluating model performance in both research and production environments.
We are looking for an experienced Product Marketing leader to build the team and function from scratch. This leader will be responsible for building and driving execution of our GTM to our target buyer audience, typically VPs of Customer Support and Success within mid-to-large enterprises.
We are seeking an enterprise sales leader to build and lead our growing sales team. This person will initially serve as “player-coach” and manage the team and their individual performance to maximize company success.
We are seeking a Technical Account Manager who will be responsible for maintaining and growing relationships with our largest customers, while bringing SupportLogic’s best practices, innovations and capabilities to our customers.
SupportLogic is the world’s premier Intelligent Support platform. Our Customer Facing Data Scientists are experienced applied data scientists, passionate about using machine learning to achieve real-world business results. As a Customer Facing Data Scientist at SupportLogic, you will collaborate closely with our customers, bringing expertise in data science and the SupportLogic platform, to help customers achieve their organization’s objectives. You’ll work with customers on diverse use cases, and with both business and technical (data science, engineering, analytics) stakeholders.
SupportLogic is looking for our first Product Trainer/Evangelist team member. Our Product Trainer/Evangelist will be an expert in our technology and applications that use AI/ML and NLP to harness and analyze customer sentiment signals in real-time at scale and deliver relevant and timely insights and recommended actions to improve customer experience.
The Product Trainer/Evangelist is responsible for successfully training and enabling our customers as well as ensuring both internal and partner sellers fully understand how to talk about and demonstrate our products. You will help our customers and partners to build the technical expertise that they need to deploy, use and administer our products. At SupportLogic, customer enablement is a critical lever in building and growing user adoption and customer loyalty.