Observability Architect EST (Remote, USA)
Grafana LabsFull Time
Junior (1 to 2 years)
Cribl is a rapidly growing, remote-first company looking for collaborative, curious, and motivated team members who are passionate about putting customers first. As the data engine for IT and Security, many of the biggest names in demanding industries trust Cribl to solve their most pressing data needs. We are looking for individuals who love to get stuff done and laugh along the way.
The Customer Success Engineer (CSE) is the primary post-sales customer advocate. As a CSE, you will be hyper-focused on ensuring customer adoption and value realization. You will act as a highly technical, trusted advisor, ensuring customers achieve their use cases and business outcomes using Cribl solutions. This role often involves collaboration within Cribl, with partners, and with the customer. The CSE must be ready to engage with both technical and management functions within an organization and demonstrate the value of Cribl in business discussions with company executives.
Cribl is a serious company that doesn’t take itself too seriously. We are a remote-first company that believes in empowering our employees to do their best work, wherever they are. Join the herd and unlock your opportunity.
Data observability solutions for tech businesses
Cribl operates in the data observability market, helping tech businesses monitor, analyze, and visualize their data for better operational and security insights. The company offers two main products: Cribl Stream and Cribl Edge. Cribl Stream enables businesses to efficiently route and transform logs and metrics, either on their own infrastructure or through cloud services, ensuring timely data delivery. Cribl Edge focuses on collecting and processing real-time observability data from edge devices, which can then be sent to Cribl Stream or other destinations. Cribl distinguishes itself by integrating seamlessly with platforms like Office 365 and Microsoft Azure, allowing clients to enhance their data management capabilities. The company's goal is to create effective data ecosystems that empower organizations to make sense of their data.