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Manage a portfolio of enterprise customers to drive adoption, retention, expansion and value from MariaDB solutions. Onboard customers, run business reviews, act as escalation contact, collaborate with sales and technical teams, measure customer health, and deliver ROI analyses to meet net retention goals.

As a Senior Data Scientist, you will utilize analytical methods and programming skills to derive insights from data, design solutions, and communicate effectively with stakeholders.

As a Principal Software Engineer, develop and optimize distributed database solutions, focusing on replication, sharding, and performance across cloud and on-prem environments, while ensuring code quality and leveraging tools for debugging and profiling.

Design and implement end-to-end application layers and APIs that integrate AI agent frameworks with relational databases. Build multi-cloud deployable services, optimize performance and queries, ensure multi-tenant data isolation and security, integrate vector/RAG systems and monitoring, and own production features from design through deployment and observability.

Design and implement end-to-end AI platform features integrating agent frameworks, vector search/RAG, and relational database capabilities. Build multi-cloud deployable services, enforce multi-tenant data governance, optimize performance, and own APIs, monitoring, and security.