The Pre-Sales Manager will act as a technical advisor to prospective clients, managing demonstrations and proof of concepts to support the sales process. They will also collaborate with internal product and integration teams to ensure technical specifications meet client requirements.
You will lead and manage a team of machine learning engineers to develop and deploy fraud detection models while maintaining strict performance SLAs. You will also drive cross-functional initiatives to improve data architecture and foster innovation across the product roadmap.
Design and implement intuitive, scalable, and responsive user interfaces for fraud detection products. Collaborate with engineers, designers, and product managers to translate business requirements into high-quality, functional applications.
You will be responsible for managing and growing relationships with channel partners to accelerate customer acquisition and revenue in the NORAM and LATAM regions. This includes leading sales demonstrations, developing channel strategies, and providing enablement resources to partners.
You will develop reliable and resilient software while working closely with data scientists and product managers to build microservices. The role involves contributing new ideas and building internal processes and tools to support a high-volume fraud technology platform.
You will be responsible for building and maintaining strong relationships with channel partners to accelerate customer acquisition and revenue growth. This includes leading sales calls, developing channel strategies, and providing partners with the necessary training and support to effectively sell Ravelin solutions.
You will lead the architecture and orchestration of scalable ML pipelines, focusing on high-performance training for fraud detection models. Additionally, you will mentor team members and drive cross-functional initiatives to optimize ML infrastructure and data quality.
You will join the Infrastructure Engineering Team to maintain and scale the core platform infrastructure. This involves building reliable, secure, and scalable systems while optimizing CI/CD pipelines and Kubernetes performance.
Lead the development and optimization of 3D Secure and Transaction Optimisation products to combat fraud. Manage the end-to-end product lifecycle, from discovery and roadmap prioritization to delivery and performance monitoring.
