Top Artificial Intelligence Jobs in Barcelona

The Customer Success Manager at Pacvue guides clients through their eCommerce journey, ensuring optimal product usage and resolving complex issues. They will identify growth opportunities, communicate customer needs for product adjustments, mentor peers, and stay updated on eCommerce trends.

The Senior Product Manager for AI Customer Lifecycle at Smartcat will focus on defining product roadmaps, improving user experience, and increasing customer retention through innovative product strategies and enhancements, leveraging AI technologies and customer insights.

As a Senior Science Manager, AI/ML at EcoVadis, you will lead the Science team focused on quality and delivery of AI technology, innovate with new machine learning algorithms, mentor team members, partner with tech and product leaders, and evaluate customer needs for business value.

The role involves managing AI decision science and data foundations, focusing on leveraging data and implementing AI solutions within organizational structures to optimize performance and drive growth.

The AI Scientist role involves conducting research in Agentic AI, developing methods for intelligent model routing, and designing experiments for validating AI systems in healthcare. Responsibilities include publishing research, mentoring team members, and collaborating with clients to deliver autonomous AI solutions.

As the Product Director for AI at Skyscanner, you will drive the vision and execution of AI-powered products, manage the product roadmap, lead cross-functional teams, and spearhead innovation in machine learning and generative AI. Your role involves market research, model training, ethical AI practices, and ensuring customer-centric AI solutions to enhance traveller experiences effectively.

The AI Sales Leader will lead a team to drive sales growth for the AI platform in the healthcare sector. Responsibilities include negotiating deals, managing and training the sales team, and developing sales strategies to expand market presence.

The Senior Data Scientist will design, evaluate, and optimize AI models and datasets to develop scalable AI solutions that empower SMBs. Responsibilities include model evaluation, data preparation, prompt engineering, and deployment of LLMs while collaborating across teams. The role focuses on solving real-world AI challenges and driving business impact through innovative solutions.

The SAP AI/GenAI Manager/Senior Manager will engage with clients on S/4HANA projects, selecting and piloting GenWizard use cases, measuring effectiveness, and ensuring successful delivery of transformation programs, while maintaining strong communication with stakeholders.

As an AI Adoption Manager, you will lead the definition and implementation of AI adoption strategies, promote AI literacy, collaborate with various stakeholders, support change management processes in IT, and guide a team to deliver innovative AI solutions across Essity.

The Senior Director Analyst will lead research and advisory efforts focusing on AI System Design and Engineering, producing impactful insights and recommendations for clients. Responsibilities include writing and publishing analysis, presenting to clients, and shaping Gartner's research direction through community engagement.

The AI Engineer will incorporate AI technologies into applications, utilizing Large Language Models (LLMs) and APIs from various providers, while collaborating with teams to enhance engineering workflows and processes. This role focuses on automating tasks and improving productivity through the integration of AI capabilities.

As an AI Engineer III, you will drive the development and deployment of AI-powered solutions in the payment industry. Collaborating with cross-functional teams, you will enhance payment systems using Python and AI technologies, contributing directly to the company's growth and success by implementing scalable and efficient AI systems.

The Technical Product Manager at Dataiku is responsible for defining user stories and technical specifications for the Data Science Platform, focusing on generative AI and machine learning. This role involves managing the product backlog, coordinating delivery of features, and collaborating with cross-functional teams, ensuring alignment between market requirements and engineering capabilities.

The Product Manager for AI will manage and enhance AI-powered B2B products, collaborating closely with Product Management and Engineering. Responsibilities include maintaining product roadmaps, monitoring product usage, and ensuring customer satisfaction through strategic improvements and training documentation for sales.

Join Preply’s AI Talent Pool to build AI-powered tools that transform personalized learning experiences. Collaborate with teams in product, design, data, research, and engineering to create impactful education solutions.

Lead the application of Generative AI technology across the organization, focusing on internal processes and customer-facing products to enhance productivity and effectiveness. Responsibilities include strategic leadership, project management, cross-functional collaboration, performance measurement, and team development.