Top Artificial Intelligence Jobs in Valencia

The VP Field Marketing is responsible for leading marketing strategy and execution in Europe, focusing on demand generation, brand awareness, and pipeline development while collaborating cross-functionally and driving a data-driven culture.

The Product Manager will own the CRM & Retention module of a casino platform, focusing on player lifecycle management, AI-driven automation, and performance metrics to drive commercial success.

Manage access to Omnipod products across territories, develop payer relationships, and contribute to market access strategies while analyzing data and utilizing health economic tools.

The Associate Legal Officer will support legal operations at UNICC, focusing on public international law, technology law, and legal risk management through research, drafting legal documents, and advising on ICT-related legal issues.

Lead end-to-end delivery of iGaming features, coordinating Product, Development, QA, and Marketing. Manage timelines, resources, risks, third-party integrations, stakeholder communication, and continuous improvement through post-mortems to ensure timely, high-quality releases.

As an AI Product Manager, you will lead the application of AI in Health Information Systems, manage product portfolios, and ensure compliance with healthcare standards while delivering technology solutions that enhance patient care.

Lead design, development, and deployment of AI solutions; evaluate feasibility; build data pipelines; optimize model performance; mentor junior engineers.

Lead business development in Life Sciences, drive client acquisition, and develop AI & Data strategies. Mentor teams and foster collaborations across departments.

Lead a small engineering team in R&D to validate new product concepts quickly. Responsibilities include technical vision, fullstack development, light research, team motivation, and partnership with product and design teams.

The Chief Data & AI Officer will lead the establishment of a company's data and AI infrastructure, ensuring reliable information capture, decision-making processes, AI system integration, and compliance with governance standards.

The role involves designing and deploying ML/AI models, working with large datasets, and integrating AI solutions into existing systems while collaborating with teams to solve business challenges.

Lead the design of scalable data and AI solution architectures on Google Cloud Platform, supporting implementation, troubleshooting, and optimization of data initiatives.

Design, build, and optimize high-performance AI infrastructure systems to support intelligent agents, ensuring reliability and scalability for millions of users.

As an AI Engineer at LanguageWire, you will enhance ML products, design context engineering workflows, and contribute to software engineering efforts with a focus on LLMs.

The AI-Native Engineer will design intelligent systems for an AI-native ecosystem, streamline workflows, and collaborate on innovative solutions in software engineering.

As a Full-stack Software Engineer, you will enhance developer workflows, build AI-native tools, and ensure robust infrastructure for product teams at Alan, focusing on seamless integration and operational excellence.

The AI Engineering Manager will build and lead a high-performing team focused on AI agents, workflow orchestration, and navigating evolving technology, ensuring clarity and delivering impactful results.

The Principal Product Manager will drive the strategy for AI-based pricing and reconciliation across travel services, manage model lifecycles, and ensure operational integrity in real-time financial data processing in collaboration with cross-functional teams.

Lead strategy, production, and commercial performance for owned casino games. Own roadmap, vendor management, end-to-end production, RTP/volatility strategy, live operations, and post-launch performance.

The Principal Engineer will define architecture and strategy for Redis capabilities in AI, design scalable systems for vector search, lead complex initiatives, and mentor engineers.

As an AI Engineer, you will build LLM systems, maintain AI solutions, collaborate across teams, and refine infrastructure integration while ensuring system uptime and accuracy.

Create advanced, verifiable physics problems for AI training and evaluation, ensuring technical precision and reproducibility with complete solutions.

As a Full-Stack Developer, you will build and scale AI products using Next.js and NestJS, manage backend services, integrate APIs, and collaborate with teams to deliver features efficiently.

Contribute to ABB Robotics by developing innovative software solutions, working independently and collaboratively in R&D projects, and ensuring quality and adherence to standards.

As an AI Product Manager at n8n, you'll develop AI-driven product experiences, coordinate with various teams, and innovate through user-centric design, focusing on AI trust and building.