Fullstack Engineer (Product Minded)- Ai-first - Marketing
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When travelers are searching for a hotel, we want the obvious choice to be trivago! Our leading metasearch engine is super fast and constantly optimized - enabling millions of travelers to compare hotel prices from hundreds of booking sites and find great deals in just a few clicks. We use cutting-edge technology, real-time auction, and machine learning techniques with petabytes of data to create an experience - time and money saved! In the lively city of Düsseldorf, we seize opportunities to learn everyday, innovate, and make an enduring mark on the travel industry. At trivago you will find those who aren't afraid of change but rather embrace it, turning every challenge into a pathway for growth. Join trivago, work with a great team, and grow with us! Join us in making a difference Our Marketing Solutions team is building an AI-first marketing engine that transforms messy, real-world data into autonomous, multichannel growth. We're not just building features-we're creating intelligent agents that research, reason, and execute across brand, paid, social, and CRM channels. As a Full-Stack Engineer, you'll be at the heart of this mission, turning ambitious ideas into production systems that drive measurable marketing impact. This is your opportunity to own problems end-to-end, from architecture to pixel, and see your code ship to production within hours. You'll work in a high-agency environment where speed meets quality, and where your technical decisions directly influence how trivago reaches millions of travelers. If you're energized by autonomous systems, love the challenge of turning chaos into clarity, and want to build products that marketers love, this role will push you to grow in ways you didn't expect. Ready to make an impact? Let's build the future of marketing together! Get an inside look at trivago's engineering culture: How you'll make an impact: Design and ship autonomous agent workflows that orchestrate research, decisioning, and multi-channel execution at scale Build robust data ingestion pipelines that transform millions of raw records from diverse sources into a reliable context layer for AI-driven personalization Develop customer-facing dashboards that translate complex AI operations into simple, actionable insights for marketing teams Own reliability and observability by implementing comprehensive logging, tracing, alerting, and performance budgets integrated into CI/CD Prototype and productionize rapidly , shipping agentic playbooks from concept to production in hours using lean experimentation and feature flags Close feedback loops by instrumenting end-to-end performance metrics and building self-optimizing systems that learn and improve continuously What you'll need to thrive: Product-first thinking - you start from customer problems, define success metrics, and ship the smallest valuable solution before iterating Strong full-stack expertise in TypeScript/Node.js and React/Next.js, with comfort moving into APIs, data pipelines, and infrastructure when needed Hands-on experience with data and AI systems - familiarity with data pipelines (Postgres/BigQuery, Kafka), vector search, and agent/LLM frameworks (ai-sdk, LangChain, OpenAI, Anthropic) High agency and ownership mindset - you default to action, clarify ambiguity independently, and learn by shipping to production Operational excellence - you care deeply about SLAs, test coverage, observability, security, and cost efficiency Collaboration and communication skills - you thrive working with cross-functional stakeholders and can translate technical complexity into business value Stand out with: Nice to have: GCP (GKE/BigQuery/GCS), Python for data tasks, feature flagging/experimentation, growth/RevOps tooling, GDPR/CCPA awareness. Not ticking every box? We still want to hear from you. Apply, tell us what motivates you, and you could be a great match-now or in the future. This is the recruitment process that you can expect for this role (subject to modifications): Hireflix: One-way video interview First call with recruiter Technical interview with team and practical exercise Interview with stakeholders What you can look forward to: As you grow, so do we. This is why at trivago, we prioritize your development, offer personalized coaching through Nilo, and provide workshops, educational meetups, conferences, free online learning courses, and access to a fully-equipped campus library. Moving to join us? No problem. You can count on the visa support from our talent support team, a relocation package, interest-free newcomer loan, free language classes, regular team and many company-wide events to build experiences together. Life happens. We offer self-determined vacation (with a minimum of 25 vacation days), flexible working hours, up to 2 work from home days weekly. Additionally you can work remotely from a different location, within Germany or selected countries abroad for up to 20 days per year. You also ge
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