We dream in years, plan in months and ship in days. Our culture is honest, fast paced, collaborative and very down to earth. We are a distributed team spanning over seven timezones.
We are passionate about the technical support space and machine learning. We enjoy hanging out with each other outside of work as much as we do working together.
We are a well-funded startup with investments from top tier investors in Silicon Valley. SupportLogic is an Intelligent Support™ Platform that leverages natural language processing (NLP) and machine learning (ML) to empower businesses to improve their customer relationships, products, and operations. SupportLogic provides an abstraction layer for conventional ticketing systems (Systems of Record) such as SalesForce Service Cloud, Zendesk, JIRA, Dynamics and continuously analyzes the content of the ticketing system to provide intelligent recommendations and actionable insights in a timely fashion.
We are seeking an experienced GTM expert who is hands-on, articulate and skilled in product marketing, positioning, packaging and messaging.
We are seeking a Sales player/coach and a hunter who is relentless, hands-on and enjoys building efficient sales operations from scratch.
The mission of the SupportLogic Data Science team is to ensure that SupportLogic provides accurate and timely insights to all of our customers. This entails working with our product design and UI teams to ensure that our Machine Learning (ML) models and ML products emphasize each others’ strengths to maximize value for customers. The team also works with the Data Platform group to ensure ML models have a smooth path to production. Finally, the team is responsible for advancing the frontier of ML performance and Intellectual Property (IP) in order to maximize the value of SupportLogic to our customers.
We are seeking a data scientist with an interest in building and iterating upon ML and/or NLP models, researching and refining features, and evaluating model performance in research and production. SupportLogic is a fast-moving and growing company so applicants should be comfortable learning and using new technologies, systems, and processes.