Customer Success Manager
Timescale- Full Time
- Junior (1 to 2 years)
Salary: $90K - $110K Location Type: Remote Employment Type: Full-Time
Secoda makes the experience of exploring and using data as intuitive, fast, and useful as using Google Search. When hiring, we prioritize candidates who are ambitious, self-starters, and great teammates. We have a deep sense of ownership, and believe every employee should have an impact on Secoda and its mission. Secoda is hiring for a Customer Success Manager to join our growing Customer team. Reporting directly to our Head of Customer, this position is instrumental in managing and growing our relationships, with a focus on renewals and driving growth in Annual Recurring Revenue (ARR).
Secoda is a fast-growing start-up focused on making data exploration intuitive and accessible. We value curiosity, resilience, humility, analytical thinking, and ambition.
We have a small but growing Denver hub that co-works 1-2 times a month. We are open to folks outside of Colorado as well. We believe time together in person is valuable and important. We host quarterly gatherings at our Toronto HQ as well as a yearly 4-day retreat.
Data management and enablement platform
Secoda provides a platform for data management and enablement, helping organizations track, document, and discover their data efficiently. The platform is especially useful for businesses that deal with large amounts of data, ensuring that it is accessible, understandable, and trustworthy. Key features include data lineage tracking, which shows the origin and flow of data, and comprehensive data documentation tools that help create data dictionaries and metadata repositories. This functionality enhances transparency and trust in the data used by teams. Secoda serves a wide range of clients, from small startups to large enterprises, and operates on a subscription model, allowing clients to access various features based on their needs. The goal of Secoda is to provide a single source of truth for data, improving collaboration and productivity within data-centric organizations.