RevOps & GTM Engineer (AI x Greentech) (m/f/d)
About this role
Do you thrive in fast-paced environments and have a passion for renewable energy?
As our RevOps & GTM Engineer, you will be the co-architect of our 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 our growth.
Please note that for this role, C2 English proficiency is required. This is a full-time, on-site position based in Berlin.
What You’ll Do
Process Innovation & AI Implementation: You will dive deep into our customer-oriented workflows to reshape them with your creative, AI-driven ideas and technical skills. As the owner of the implementation, you won't just strategize - you will personally drive these improvements from concept to reality.
Vertical Owner (Data Driven Analytics): You will relentlessly improve our data product experience by working with internal and external stakeholders to identify bottlenecks, refine analytical fit, and personally onboard them into a world-class, data-driven workflow.
Data Accessibility: Design and maintain robust pipelines to make data from our customers, HubSpot, and Aircall fully usable and accessible across the organization.
AI Integration: Implement AI-driven workflows and predictive models to automate insights, lead scoring, and trend forecasting.
Hands-on Engineering: Work directly in Python (or TypeScript) to integrate diver
Responsibilities
- Process Innovation & AI Implementation: You will dive deep into our customer-oriented workflows to reshape them with your creative, AI-driven ideas and technical skills. As the owner of the implementation, you won't just strategize - you will personally drive these improvements from concept to reality.
- Vertical Owner (Data Driven Analytics): You will relentlessly improve our data product experience by working with internal and external stakeholders to identify bottlenecks, refine analytical fit, and personally onboard them into a world-class, data-driven workflow.
- Data Accessibility: Design and maintain robust pipelines to make data from our customers, HubSpot, and Aircall fully usable and accessible across the organization.
Requirements
- AI Integration: Implement AI-driven workflows and predictive models to automate insights, lead scoring, and trend forecasting.
- Hands-on Engineering: Work directly in Python (or TypeScript) to integrate diver