Top Tech Jobs & Startup Jobs in Barcelona

Lead product planning and delivery for sports live-scores or sports-betting products. Define strategy, maintain backlog and roadmap, author user stories and acceptance criteria, analyze data for improvements, coordinate releases with engineering, QA and design, and represent users to stakeholders.

Lead technical delivery of heavy industrial projects across Europe, focusing on MV/LV electrical systems, VFDs, PLC/SCADA automation, energy optimisation, FAT/SAT, commissioning, troubleshooting and client handover while ensuring safety and engineering standards.

Own end-to-end product features for an enterprise semantic intelligence platform: define UX, build data extraction pipelines and semantic storage, integrate AI capabilities, make technical decisions, and collaborate with founders and design to ship polished, user-facing products.

The Backend QA Engineer will design tests for APIs and databases, validate performance, and maintain quality through collaboration with engineering teams.

As an AI Engineer, you will build AI agents for preventive health, focusing on reasoning, clinical workflows, and ensuring reliable production systems.

As a Senior AI Product Manager, you will own the AI Travel Agent product, leading the full post-booking servicing scope while collaborating with engineering and customer success on product discovery and delivery.

Lead e-commerce client growth through strategic forecasting, daily execution against forecasts, media-buying best practices, campaign monitoring, and client communication. Build and maintain growth maps, marketing calendars, and use data analysis to optimize performance within tight accuracy targets while mentoring and coordinating cross-functional pod members.

Design and architect scalable, secure enterprise back-end systems using Java/Spring Boot, CQRS, messaging and RESTful APIs; collaborate in Agile teams, mentor developers, refactor for performance and cost, integrate cloud deployments and security, and lead data transformation initiatives.

Develop, validate, and deploy machine learning and statistical models for soccer betting products. Create soccer-specific features, run offline and online experiments, collaborate with data engineering and product teams, follow software engineering best practices, document work, and present findings to technical and non-technical stakeholders.

Drive continuous improvement in sales processes by co-leading optimization projects, maintaining CRM/ERP alignment and data accuracy, supporting market and client segmentation, generating sales insights and target lists, and collaborating with sales and marketing to improve client information and sales performance.