Jobs at Kiwi.com

Design, build, and deploy AI-driven customer and marketing features using Google Cloud. Work with vector databases and BigQuery, optimize retrieval pipelines tied to CRM/CDP, and deliver production-ready services (Vertex AI, Cloud Run) while collaborating with product and marketing teams.

Build and deploy AI-driven customer and marketing features using Google Cloud. Work with vector databases, BigQuery data models, and retrieval pipelines integrated with CRM/CDP to improve segmentation, targeting, and campaign automation. Collaborate with product and marketing, write tested code, and experiment with new AI tools.

Own and execute retention and lifecycle marketing strategy to boost repeat bookings and LTV. Run omnichannel campaigns (email, push, in-app, web), use A/B testing and cohort analysis, integrate AI for personalization and automation, scale programs, and collaborate with product and data teams.

Lead retention and lifecycle marketing strategy across email, push, in-app and web; plan, execute and optimize omnichannel campaigns using A/B testing and cohort analysis; integrate AI and automation to personalize at scale; drive retention KPIs and collaborate cross-functionally to scale automated programs and improve customer lifetime value.

Lead analytics for customer support and refunds by building data models, dashboards, and SQL pipelines. Partner with Finance, Product, Engineering, Workforce Management, and vendors to optimize airline recovery, agent productivity, forecasting, and automation, and present data-backed insights to senior leadership.

Design, deploy, and maintain production-scale AI/ML systems for personalization, semantic search, and RAG. Own vector database strategy, data models in BigQuery, embedding and retrieval pipelines, and GCP-based AI services. Partner with product and marketing teams and set engineering standards for reliability and production ML.

Design, deploy, and operate production-scale AI/ML systems for personalization, semantic search, and RAG. Own vector database strategy, build embedding and retrieval pipelines, define BigQuery data models, architect AI services on GCP, and partner with product and marketing teams to deliver AI-driven customer and campaign capabilities.

Design, deploy, and maintain production-scale AI/ML systems for personalization, semantic search, and RAG. Own vector database strategy, data models in BigQuery, embedding and retrieval pipelines, and AI services on GCP. Partner with product and marketing teams, set engineering standards, and guide peers through design and reviews to integrate AI into CRM/CDP and marketing automation.

Lead standardization of IFRS accounting policies and group reporting, deliver monthly IFRS and annual Czech GAAP statements, coordinate audits and tax support, coach a small finance team, partner cross-functionally, and embed AI automation into accounting workflows.

Lead development of AI-powered, real-time travel features (automated check-in, disruption handling, baggage/seating). Own end-to-end solutions, write maintainable code, implement robust testing, collaborate cross-functionally, iterate quickly on production services, and use product/data metrics to shape high-impact features.

Lead development of AI-powered, real-time backend systems for disruption handling, automated check-in, baggage and seating. Own end-to-end features, write maintainable Python code, design scalable microservices with Celery/RabbitMQ, manage PostgreSQL/Redis and BigQuery data flows, ensure robust testing and reliable cloud deployments, and collaborate cross-functionally to ship and iterate in production.