Customer Success Manager
Panopto- Full Time
- Junior (1 to 2 years)
About Monte Carlo: As businesses increasingly rely on data + AI for competitive advantage, reliability has become a non-negotiable. Named a CBInsights AI100 company and described by Forbes as the "New Relic for data", Monte Carlo supports some of the world's most prestigious companies, including Fox, Roche, Honeywell, and CreditKarma to deliver trustworthy data + AI at scale. Backed by Accel, Redpoint Ventures, Notable Capital, ICONIQ Growth, and Salesforce Ventures, Monte Carlo is powering the future of reliable data + AI.
About the Role: Monte Carlo is growing its Customer Success team. In the role of Strategic Customer Success Manager, you’ll quarterback the relationship with Monte Carlo’s most significant and most strategic customers to help them bring trust to their data. This includes planning and executing enterprise rollouts, navigating stakeholders and executives, defining and sharing best practices, quantifying and articulating value, nurturing expansion opportunities, and collaborating across product, engineering, sales, and marketing. Monte Carlo believes deeply in Customer Success. Our CEO and co-founder, Barr Moses, was VP of Customer Operations at Gainsight, the Customer Success company. Our first company value is Customer Impact.
Company Culture: Monte Carlo believes deeply in Customer Success. Equality is a core tenet of Monte Carlo's culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Monte Carlo is an equal-opportunity employer.
Recognition:
Provides end-to-end data observability solutions
Monte Carlo Data helps businesses ensure the reliability of their data through end-to-end data observability, allowing real-time monitoring of data freshness, volume, schema, and quality. Their platform includes tools for incident detection and resolution, which assist analysts in addressing data quality issues efficiently. By integrating with communication tools like Slack and JIRA, it fits seamlessly into existing data management processes. The goal is to help businesses avoid the costs associated with bad data, making it suitable for data-dependent companies across various industries.