The Director of Marketing Communications & Customer Engagement leads marketing strategy and execution, building brand awareness and customer engagement through integrated programs, storytelling, and corporate communications.

The role involves driving regional marketing initiatives for B2B enterprise environments, focusing on demand generation, event management, and pipeline development while collaborating across teams and optimizing performance using analytics.

The Customer & Lifecycle Marketing Manager will oversee customer marketing strategies, create customer journeys, analyze KPIs, and collaborate across teams to enhance customer retention and value realization.

The Data Scientist will innovate with Generative AI, prototyping scalable solutions, and deploying AI systems for banking, ensuring efficiency and adaptability.

The Software Architect will design scalable backend architectures, enforce technical standards, lead architecture reviews, and collaborate with various teams to align with product strategies while incorporating AI tools.

Design and implement a scalable BI data infrastructure. Build and maintain ETL/ELT pipelines for analytics. Collaborate cross-functionally to translate business needs into data solutions.

As a UX Designer, you will enhance user experiences for a next-generation SAAS product, collaborating across teams to deliver design solutions and conduct user research.

The Sales Executive will identify and acquire new banking clients, engage with C-level decision-makers, and drive complex sales for AI-driven digital banking solutions across UK and Nordics, while ensuring deal closure and pipeline management.

Join Personetics as a Business Analyst to lead client implementations, provide strategic guidance, and conduct data analysis for banking solutions.

The Java Backend Developer will design and maintain scalable backend services, collaborate with teams, troubleshoot issues, and contribute to architecture improvements.

We are seeking an AI Engineer with 3-5 years of experience in ML Engineering or MLOps to enhance our cognitive banking platform by deploying AI models and optimizing their performance in large-scale environments.

The Backend Developer will enhance product infrastructure, ensuring performance and scalability by designing, building, and maintaining backend systems. Responsibilities include full development cycle ownership, troubleshooting, and researching new technologies.