Build and deploy AI-driven data solutions to optimize revenue operations.
•As a RevOps & Data Engineer, you will be the co-architect of Reonic's data ecosystem.
•You'll take full ownership of making customer and revenue data accessible, building internally used applications from the ground up, and deploying AI to supercharge growth.
•Key Responsibilities Process innovation and AI implementation in customer-oriented workflows.
•Own data product experience, identifying bottlenecks and refining analytical fit.
•Design and maintain pipelines for data accessibility from customers, HubSpot, and Aircall.
•Implement AI-driven workflows and predictive models for automation and insights.
•Collaborate with Sales, Marketing, and Success teams to create BI dashboards.
•Requirements Expertise in n8n, Python (TypeScript is a bonus), and deep understanding of modern BI tools and SQL.
•Passion for how AI can optimize revenue processes and skills to implement it.
•Proactive and structured approach to identifying and fixing data flow bottlenecks.