SOFTWARE ENGINEERING MANAGER REMOTE £100k - £110k THE COMPANY This cutting-edge AI company is transforming the hospitality industry through intelligent, data-driven solutions that help hotels optimize revenue and operations in real time. As part of a dynamic, independent division, this role will play a pivotal part in powering the predictive engine behind smarter pricing decisions. THE ROLE As a Software Engineering Manager, you will lead a small, high-performing team focused on building the infrastructure that powers core AI and ML capabilities. Your work will directly enable smarter forecasting and real-time pricing for hotel partners around the world. Specifically, you can expect to be involved in the following: Leading the design and maintenance of scalable infrastructure (Kubernetes, GCP) for ML-powered pricing systems Collaborating closely with Data Science teams to understand, support, and productionize predictive models Contributing hands-on to Python-based codebases, especially within data science contexts Providing light-touch line management to a capable and largely autonomous team Driving technical excellence and being the go-to technical leader within the Science Platform team SKILLS AND EXPERIENCE The successful Software Engineering Manager will have the following skills and experience: Strong recent experience with Kubernetes, auto-scaling systems, and infrastructure on GCP Proficiency in Python, particularly in data science and ML-driven environments Experience working closely with Data Science teams and understanding algorithmic workflows Proven ability to lead and inspire engineers through technical depth and guidance Prior management experience Comfortable being hands-on while balancing strategic leadership BENEFITS The successful Software Engineering Manager will receive the following benefits: Salary between £100k - £110k – depending on experience Mostly remote work, meeting the team 1x per quarter in London More HOW TO APPLY Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.