We are looking for a Senior Product Designer to create intuitive, customer-focused product experiences at MindBridge. You will collaborate with product managers, developers, and designers to shape product vision, use data to inform decisions, and turn complex problems into thoughtful design solutions.
We are looking for a Senior Software Developer to lead complex technical work within their product area. You will design and deliver secure, scalable capabilities across data ingestion, analytics, enterprise integrations, AI-assisted workflows, and infrastructure, while taking ownership of execution within established architectural direction
We are looking for a QA & Test Automation Developer to strengthen how software quality is built and scaled at MindBridge. You will use strong testing fundamentals and agentic tools to identify product risks, test beyond happy paths, and improve the speed, depth, and effectiveness of our QA processes.
We are looking for a Data Engineer to help customers manage and prepare their data throughout the implementation process. You will identify data requirements, create effective migration and repeatable ETL processes, and collaborate with internal and external stakeholders to support successful customer implementations.
We are looking for a Customer Value Architect to help customers embed MindBridge into their organization. You will translate customer goals, use cases, workflows, stakeholders, and executive priorities into scalable adoption strategies that drive sustained value and impact.
We are looking for a Senior Data Science Engineer to provide applied data science expertise within Success Engineering. You will configure and tune models, investigate results, and partner with Product, Engineering, and AI/ML to translate complex customer needs into practical solutions.
The Staff Data Scientist leads the development of advanced machine-learning capabilities across large-scale enterprise datasets, combining hands-on modelling with technical leadership to solve complex data problems and build scalable, reusable predictive capabilities.
