Session replay, product analytics, and error tracking for software teams
LogRocket operates a three-pillar observability platform (session replay, analytics, error tracking) built on Kubernetes and React Native. The hiring pattern reveals a company balancing product depth with commercial scaling: engineering roles are steady, but the org is actively hiring for sales expansion and marketing pipeline generation. Current projects—ML-driven bug detection, real-time log search across billions of entries, and lifecycle automation—suggest the platform is shifting from manual investigation tools toward predictive, automation-first features.
Notable leadership hires: Growth Director
LogRocket provides session replay, product analytics, and error tracking for engineering and product teams. The platform lets teams diagnose digital experience issues by replaying user sessions, analyzing behavioral patterns, and surfacing application errors. Founded in 2016 and based in Boston, the company operates at 501–1,000 employees across engineering, sales, marketing, design, and support functions. Current operational challenges center on managing infrastructure costs during traffic spikes, scaling the sales organization, and improving the marketing funnel to drive pipeline.
Kubernetes, React Native, JavaScript, Salesforce, Google Workspace, and Microsoft Office. The company is also using GitHub Copilot and Galileo AI in its workflow.
Yes. Engineering has 4 active roles open (part of 16 total company-wide positions), with mid-level and senior engineers represented. Hiring is active in the United States and United Kingdom.
Key projects include ML-driven bug detection, real-time search across billions of log entries, automated user-path detection, lifecycle automation, and sales pipeline acceleration via Salesforce data enrichment.
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