Country: SpainLynx Financial Crime Tech is looking for a VP Engineering for our Madrid offices.Why you should consider this opportunityLynx Financial Crime Tech S.A. is an AI‑driven software company specializing in detecting and predicting behavioral patterns. Led by industry experts and academics, we develop and implement cutting‑edge, self‑learning AI technologies. Our platform excels in low latency transaction processing and is available on‑premise and in the cloud.We prioritize VISION, AGILITY, and SPEED to provide outstanding customer experiences and have built long‑lasting, trustworthy relationships with top financial institutions, fintechs, and commercial enterprises worldwide.We embrace a strong risk culture and expect all professionals to take a proactive and responsible approach to risk management. Our mission is to help more people and businesses prosper.Lynx is proud of being an inclusive organization where equal opportunities are afforded regardless of age, gender, disability, civil status, race, religion or sexual orientation.What You Will Be DoingAs VP Engineering, your objective will be to lead the engineering organisation to transform the business vision into scalable, high‑impact products, driving innovation, operational excellence and the development of high‑performing teams.Collaborate in defining and executing the company’s technology strategy, aligning it with business, growth and globalization objectives.Lead the Engineering, Architecture and Data & AI teams, fostering a culture of high performance, continuous improvement, innovation, collaboration and technical excellence.Develop the technology architecture and product platform to ensure scalability, resilience, security and capacity for general growth.Drive innovation in Artificial Intelligence, Machine Learning and advanced analytics, identifying new opportunities to generate value for customers and the business.Work closely with the CTO, Product,



Sales and other areas to translate corporate strategy into differentiated technology capabilities.Define engineering, architecture, quality, security and technology governance standards that enable the organization to scale efficiently.Experience10+ years of experience in technology, software engineering or data platforms.At least 5 years in executive technology leadership positions (VP Engineering, Chief Architect or similar).Demonstrable experience scaling technology organizations such as SaaS companies, enterprise software, fintech, fraud prevention‑related sectors or data and AI‑related environments.Track record of leading multidisciplinary engineering, architecture, data and artificial intelligence teams.Experience actively participating in technology transformation, international growth and product evolution processes.EducationUniversity degree in Computer Engineering, Telecommunications, Mathematics, Physics or related STEM disciplines.Skills & KnowledgeStrong knowledge of cloud‑native architectures, microservices, distributed systems and high‑availability platforms.Experience deploying solutions on AWS and using Kubernetes. Knowledge of Kafka will also be valued.Experience in Artificial Intelligence, Machine Learning, Data Platforms and solutions based on advanced analytics.Knowledge of lean and agile methodologies, DevOps, CI/CD, observability and system reliability.Excellent leadership, communication and influencing skills in multicultural, fast‑growing environments.Experience working with enterprise clients and presenting technology solutions to executive stakeholders.High level of English, both spoken and written.Hands‑on involvement in product development.Other InformationAvailability to travel occasionally to visit clients and attend strategic events in Spain and internationally.Previous experience in sectors related to financial crime, fraud prevention and anti‑money laundering (AML) is highly desirable.Experience in product environments based on generative AI and advanced machine learning models will be valued.Visit our website: https://lynxtech.Com/#J-18808-Ljbffr

📌 Vp Engineering (Madrid)
🏢 Experteer
📍 Madrid