Collaborate with customers and cross-functional teams to understand requirements and design intuitive, user-centered product experiences, including analytics dashboards and workflows for complex financial data. Create and iterate on design artifacts, document specifications for development hand-off, and partner with developers and QA to ensure high-quality implementation and consistency across the product.
You will design and maintain automated test suites while integrating AI-powered agentic tools to accelerate quality workflows and failure triage. Additionally, you will contribute to the validation strategies for AI-native features, ensuring reliability and performance across the development lifecycle.
The Data Engineer will lead end-to-end ETL processes for financial data and advise clients on data standardization and best practices. They will also collaborate cross-functionally to troubleshoot data issues and influence product development based on customer needs.
The Senior Data Science Engineer will provide applied data science expertise to help customers maximize the value of MindBridge's AI models and ensembles. This role involves configuring models, investigating behavior, and acting as a technical liaison between customers and internal product and engineering teams.
