opengreenhousegoodwatercap
Automation Engineer (Marketing)
Fever
LocationSpain, Madrid
Last observed2026-06-13 05:25:53.471325
Job idgoodwatercap-fever:greenhouse:4601983101
Hey there! We’re Fever , the world’s leading tech platform for culture and live entertainment. Our mission? To democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we’re revolutionizing the way people engage with live entertainment. Every month, our platform inspires over 300 million people in +55 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences. Our results? We’ve teamed up with major industry leaders like Netflix, F.C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right? To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment! Ready to be part of the experience? Now, let’s discuss this role and what you will do to help achieve Fever’s mission. About the role We are looking for a technical Marketing Automation Engineer (CRM) with a strong focus on user lifecycle architecture. Your mission will be to design, build, and maintain the systems, automations, and data flows that support the entire customer lifecycle—from acquisition to activation, repeat engagement, and long-term retention. This is a role for engineers who enjoy working with data models, APIs, lifecycle triggers, segmentation logic, and event-driven architectures rather than campaign operations. You will own the technical foundation that powers all lifecycle journeys across email, push, SMS, and WhatsApp. About the team The CRM Automation team builds and maintains the technical infrastructure that powers Fever’s lifecycle communications. We work closely with Product, Data, and Growth teams to deliver personalized, real-time experiences across email, push, SMS, and WhatsApp. Our mission is to ensure users receive the right message at the right time through scalable architectures, robust automations, and continuous experimentation. Collaboration, engineering excellence, and data-driven decisions are at the core of how we operate. What You’ll Do Lifecycle Architecture Build and iterate scalable lifecycle flows across onboarding, activation, conversion, and retention phases. Translate lifecycle logic into technical architectures, schemas, and event-driven triggers. Automation Engineering Implement advanced logic using AMPscript, SSJS, SQL, and REST/SOAP APIs for dynamic personalization. Create reusable automation components to accelerate development and reduce operational complexity. Data Activation & Modeling Design and maintain data models needed for lifecycle segmentation and decisioning. Develop robust data ingestion and transformation workflows to ensure accurate audience targeting. System Integrations Connect CRM automations with internal APIs, backend systems, and real-time event streams. Align lifecycle trigger definitions and data structures with Data Engineering and Product Engineering. Performance, Reliability & Quality Monitor and improve automation performance, execution time, and system stability. Implement diagnostics, alerting, and validation layers to ensure lifecycle flows run consistently at scale. Experimentation & Optimization Support controlled experiments within lifecycle flows (variant routing, conditional logic, A/B structures). Contribute to frameworks that help evaluate impact on key lifecycle stages and overall system efficiency Qualifications & Skills 2–3 years of experience in CRM and digital marketing within web/mobile product environments. Advanced SQL: able to design complex queries, data models, transformations, CTEs, and audience logic for large-scale lifecycle flow Bachelor's degree in Engineering, Computer Science, or a related technical field. English fluency : able to communicate clearly with technical, product, and data teams in an
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