Coralogix is a contemporary, full-stack observability platform transforming how businesses process and understand their data at scale. We are a high-growth, 100M+ ARR business building the revenue infrastructure to match our ambition. The companies winning right now are not the ones with the biggest sales teams — they are the ones with the smartest revenue systems. This team builds those systems.
Role Overview
This is a builder role. You will own the automation and AI layer of our GTM Engineering stack — designing and deploying the workflows that make our revenue engine intelligent, automated, and self-improving. You will work with workflow orchestration tooling (currently n8n), LLM-based AI development tools (currently Claude Code), and a Snowflake-powered data foundation.
Equally important: you are expected to stay current with the automation and AI tooling landscape and proactively evaluate alternatives. If you find a better orchestration platform, a more capable AI coding tool,
or an integration approach that meaningfully outperforms what we are using today — bring the case. Tool recommendations based on evidence are a core part of this role.
Your success metric is straightforward: how many manual GTM processes have you eliminated this quarter? Every workflow you build should free up time for sellers, provide better intelligence for leaders, and improve the accuracy of our forecasting and pipeline systems.
What you will build
Automation & AI Workflows
- Design and deploy AI-enabled automation workflows across the GTM stack using workflow orchestration tooling (n8n is our current platform — evaluate and recommend alternatives as appropriate)
- Build LLM-powered tools for pre-call research, deal intelligence, pipeline gap analysis, and automated executive briefings — using AI coding assistants such as Claude Code or equivalent
- Integrate LLM capabilities into operational revenue workflows — prompt engineering, output parsing, confidence scoring
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