Role Description DatAds is redefining how marketing and creative teams build winning ads. Our SaaS platform bridges the gap between performance marketers and creative teams by delivering visual ad insights, automated analytics, and AI-powered creative recommendations. The result: faster workflows, smarter decisions, and more high-performing ads – across Meta, TikTok, and YouTube. We’re growing fast, with double-digit month-over-month expansion. Our customers include some of the most innovative eCommerce brands, lead generation companies, and performance marketing agencies across the DACH region – and increasingly, across Europe. Brands like yfood, Greator, Perspective, and Holy trust DatAds to power their creative strategy. If you want to be part of a fast-moving marketing tech startup where your ideas actually shape the product – join us. We're building something big, and we’re just getting started. - Feature Development & Extension across product lines (analytics, inspiration, ai). Possible projects can include: - Build & maintain integrations to ad-platforms like Taboola, Pinterest or Snapchat - Implement AI recommendation system - Extend static AI workflows to dynamic AI agent - Internal Tech Support: Communication with the internal Customer Success team (in English) when bugs or technical questions arise. - End-to-End System Ownership: From system design to deployment, to tech support you'll own entire technology solutions and ensure their operational excellence. We believe in giving maximum freedom – you get the problem, you architect, build and own the complete system solution. Qualifications - Backend: PostgreSQL / SQL - REST APIs - Ideally Node.js + Express.js + TypeScript - Most features involve API updates - Cloud (Azure preferred) - Experience with Docker & serverless containers (Azure Container Apps, Cloud Run) - Event-driven architectures and queue-based background jobs - Frontend: Nuxt.js / Vue.js or Next.js / React - TailwindCSS - Ability to implement clean UI components using modern CSS frameworks - End-to-End Ownership (“Builder Mentality”): Designed, implemented, tested, deployed and maintained features from start to finish. Benefits - Learn from Experience: Work directly with Daniel (CTO), who brings a Master's in Machine Learning and 2 years as Senior Software Engineer in AI infrastructure at HubSpot. You'll have access to mentorship that accelerates your growth. - Ownership & Impact: High responsibility for your projects with a steep learning curve guaranteed. Your code will directly impact how marketing teams worldwide create better ads. - Startup Flexibility: Remote-first culture with flexible working arrangements. Fast communication, flat hierarchies, and a motivated founding team. - Professional Growth: Be part of building something from the ground up. The experience and network you'll build here will be invaluable for your career. - Competitive Compensation: With growth opportunities as we scale. Company Description Mit DatAds haben wir uns ein großes Ziel gesetzt: Wir wollen den Erstellungsprozess von Ad Creatives auf das nächste Level bringen. Unsere Software ist die Brücke zwischen datengetriebenen Performance Marketing und innovativen Creative Teams. Damit ermöglichen wir Performance Marketern und Creative Designern optimal zusammenzuarbeiten und durch tiefere Analysen mehr erfolgreiche Werbeanzeigen zu erstellen. Wir arbeiten mit einigen der größten Marketing Agenturen und starken eCommerce Brands zusammen, wie z.B. Pummys, Beilmann Marketing, Perspective, Health Routine.

• Design and develop AI-powered applications using LLM models. • Create effective prompts and workflows for content generation, analysis, and automation. • Integrate AI solutions into existing systems and processes. • Collaborate on architecture design focused on reliable and user-friendly products.

• Diseñar y desarrollar aplicaciones impulsadas por IA utilizando modelos LLM. • Crear prompts efectivos y flujos de trabajo para generación de contenido, análisis y automatización. • Integrar soluciones de IA dentro de sistemas y procesos existentes. • Colaborar en el diseño de arquitecturas enfocadas en productos confiables y usables.

• Desarrollar y mantener servicios back-end de alto rendimiento utilizando Java y Python. • Colaborar en todo el ciclo de vida del desarrollo de software, desde la conceptualización hasta la implementación técnica. • Implementar arquitecturas basadas en microservicios asegurando la escalabilidad y resiliencia del sistema. • Garantizar la calidad del software mediante la ejecución de pruebas unitarias y el cumplimiento de principios SOLID. • Gestionar y optimizar bases de datos relacionales y no relacionales para el soporte de las aplicaciones. • Desplegar y administrar aplicaciones en entornos de contenedores utilizando Docker y Kubernetes. • Integrar herramientas de análisis estático y procesos de CI/CD para mantener estándares de código limpio.