Lead data design, prototype, and development of data pipeline architecture pipelines. Lead implementation of internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability. Lead cause analysis on external and internal processes and data to identify
SaaS Architect – Analytics Platform Position Summary The Founding SaaS Architect is responsible for defining and evolving the technical architecture for Qualitrols Analytics as a Service platform. This individual will establish the engineering standards, architecture and
Product Engineer – Analytics as a Service Position Summary The Product Engineer is responsible for rapidly designing, building and delivering cloud-native analytics services that create measurable customer value. The engineer will operate as a full-stack product
Mindex is looking for a SchoolTool Software Engineering Manager to lead multiple engineering teams responsible for the continued development and evolution of our SchoolTool platform. This role combines people leadership, technical strategy, and operational excellence to
Job Summary:The Chief Technical Officer (CTO) is a C-suite executive and a member of the senior leadership team, accountable for defining and executing CaterTrax®s enterprise technology vision in direct support of the companys AI business transformation
Job Summary:The Senior Agentic AI Engineer is the operational owner of the Constituent Data Layer (CDL) and the safe, secure rollout of AI agents across CaterTrax® constituent surfaces. Reporting to the Director, Enterprise Architecture as a member
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with product managers,
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with product managers,