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Reonic is a fast-growing, VC-backed AI operating system for renewable energy installers, serving 3000+ B2B customers across Europe. As RevOps & GTM Engineer, you will be the co-architect of the company's data ecosystem, owning the full lifecycle from strategy to implementation.
Your core responsibilities include: designing and maintaining robust data pipelines that integrate customer data, HubSpot, and Aircall into a unified, accessible system; implementing AI-driven workflows and predictive models for lead scoring, trend forecasting, and automated insights; building internally-used applications and BI dashboards that empower Sales, Marketing, and Success teams with data-driven decision-making; and identifying and eliminating bottlenecks in data workflows across the organization.
You will work hands-on in Python or TypeScript, leveraging n8n for workflow automation and modern BI tools (SQL proficiency required). The role demands both strategic thinking—collaborating with cross-functional stakeholders to understand their analytical needs—and tactical execution, personally driving improvements from concept through deployment.
You are a self-directed problem-solver who doesn't wait for tickets; you proactively identify inefficiencies and fix them. You have deep expertise in data engineering, BI tools, and SaaS integrations (HubSpot, Aircall preferred). A passion for AI-driven optimization of revenue processes is essential. Fluency in English (C2 level) is required; German, Italian, French, or Portuguese is a plus.
This is a full-time, on-site role in Reonic's Berlin office near Hackescher Markt, with a 5-day/week in-person commitment. The company offers competitive compensation, gym membership, regular team events, MacBook, and a vibrant, collaborative culture focused on innovation and rapid execution in the renewable energy space.
