Customer Success Engagement Manager

<p> </p> <h2><strong>About Us</strong></h2> <p><a href="https://www.viaduct.ai/">Viaduct </a>uses patented AI to discover hidden patterns in complex time series data to reduce the cost of quality management and enable predictive maintenance at scale.  Our solution was built to solve the toughest problems in connected asset (passenger vehicles, commercial vehicles, construction equipment, agriculture equipment, etc) AI.  We use AI to find meaningful patterns in connected data to aid quality, manufacturing, engineering and after-sales organizations.  Viaduct’s differentiation includes patented AI, proprietary infrastructure and domain expertise. Our output includes data unification, early issue detection, significantly faster root-cause analysis and equipment specific service recommendations.  </p> <p> </p> <h2><strong>Who you are</strong></h2> <p>We are lookinf for a Customer Success Engagement Manager with experience in customer success and data analytics. In this role, you will lead multiple customer engagements to ensure that our clients realize the full value of our solutions. As a key member of the Customer Success team, you will serve as the primary point of contact for customers, ensuring they have the right resources, consistently receive high-quality service, and can fully leverage all the benefits Viaduct provides. Additionally, you will collaborate closely with our Data Science, Product, and Engineering teams to evolve our solutions in line with customer needs and changing market dynamics.</p> <p>The role requires excellent attention to detail, collaboration, communication and organizational skills, paired with the ability to manage multiple projects and customers. Additionally, you are a skilled analytics practitioner who knows how to apply practical data analytics to create solutions that drive measurable impact</p> <p> </p> <h2><strong>Key Responsibilities</strong></h2> <ul> <li>Lead and oversee customer engagement, consulting and/or analytics projects from inception to completion, ensuring timely delivery and high-quality outputs.</li> <li>Develop and maintain strong relationships with customers, understanding their needs and translating them into actionable analytics solutions.</li> <li>Collaborate and provide expert guidance to the product, engineering and data science teams, fostering a culture of continuous learning and improvement.</li> <li>Ensure the alignment of analytics projects with business value.</li> <li>Monitor project progress, manage risks, prioritize actions, and ensure adherence to budgets and timelines.</li> <li>Present findings and recommendations to senior management and customers, effectiv