VP Engineering

As 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.

We need someone like you to help us in the following areas:

• Collaborating in the definition and execution of the company’s technology strategy, aligning it with its business, growth and globalization objectives.
• Leading the Engineering, Architecture and Data & AI teams, fostering a culture of high performance and continuous improvement, innovation, collaboration and technical excellence.
• Developing the technology architecture and product platform to ensure scalability, resilience, security and capacity for global growth.
• Driving innovation in Artificial Intelligence, Machine Learning and advanced analytics, identifying new opportunities to generate value for customers and the business.
• Working closely with the CTO, Product, Sales and other areas to translate corporate strategy into differentiated technology capabilities.
• Defining engineering, architecture, quality, security and technology governance standards that enable the organization to scale efficiently.

• 10+ 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.

EDUCATION

• University degree in Computer Engineering, Telecommunications, Mathematics, Physics or related STEM disciplines.

SKILLS & KNOWLEDGE

• Strong 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

OTHER INFORMATION

• Availability 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.

Lynx Financial Crime Tech S.A., We are 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 technologies and is available both on-premise and on the cloud.

We prioritize VISION, AGILITY, and SPEED to provide outstanding customer experiences and have built long-lasting, trustworthy relationships with some of the top financial institutions, fintechs, and commercial enterprises worldwide.

We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management.

Our mission is to contribute to help more people and businesses prosper. We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management.

Lynx is proud of being an organization where there are equal opportunities regardless of age, gender, disability, civil status, race, religion or sexual orientation.