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VAST Data is looking for a Customer Support Engineer to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is at the center of the revolution in artificial intelligence. VAST’s data management vision is the future of the market – Forbes. VAST Data is the data platform company for the AI era, building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis, AI training, and inference. Designed from the ground up to simplify AI deployment and management, VAST removes cost and complexity from deploying enterprise and AI infrastructure across data center, edge, and cloud. Our success has been built through intense innovation, a customer‑first mentality, and a team of fearless VASTronauts who leverage their skills and experience to create real market impact. This role is a key contributor at a pivotal time in our company’s growth and in computing history.
As part of the Customer Support Engineering team, you will be regarded as a VAST Data technical expert. You will be involved in daily technical operations and escalations, working with a small team of Support Engineers and Success Managers to handle all post‑sales activity for customers. Your main responsibilities include responding to customer issues—reactive and proactive—evaluating problems, using hands‑on keyboard skills to resolve issues, and escalating to engineering with detailed information when necessary. You will also develop and test solutions for strategically and tactically significant applications and use cases, such as file protocols, machine learning, object storage, and high-performance computing at customer sites and in the lab. Additionally, you will collaborate with customers and various business functions: consulting pre‑sales teams on technical sales activities, supporting Professional Services with onsite field work, and collaborating with engineering teams to solve technical challenges.