About the role
Design a system to automatically detect the most common user paths across millions of events
Create a plugin to support react-native in our mobile recording SDK
Implement a search backend that allows users to search in real time across billions of log entries
Build a machine learning pipeline that automatically detects bugs in our users' apps
Enrich Salesforce data with customer usage data to help make our sales team more effective
Automate database scaling to improve operating cost while maintaining the ability to respond to traffic spikes
Build a system that automatically recommends integrations for customers based on their toolset
About the company
LogRocket aims to swiftly and effectively identify bugs and UX issues, assisting developers in solving software engineering problems.
Through front-end monitoring and program analytics, LogRocket enhances customer experiences by preemptively identifying issues., This dedication to efficiency has garnered LogRocket more than 10000 clients, including major names like Airbnb, Bloomberg, and Ikea, Additionally, LogRocket has secured funding to further enhance software development.
The global product analytics market is rapidly expanding, projected to exceed $26B by 2026, driven by the demand for seamless user experiences. Competitors like Quantum Metric are motivating LogRocket to expand its bug-identification strategy and maintain its analytics leadership. A notable advancement in this direction was LogRocket's 2022 launch of Conditional Recording, a mobile app monitor that captures precise experience data.
