You will design and build a complex multi-tenant enterprise SaaS application while maintaining the backend REST server that supports machine learning and BI data. You will also collaborate with product, data science, and UX teams to shape the product roadmap and drive technical best practices.
You will build and scale production-ready machine learning models for claim time series forecasting and NLP text understanding. Additionally, you will perform exploratory data analysis to identify ML opportunities and translate complex client business problems into technical solutions.
Build and enhance enterprise SaaS applications by writing production code and modernizing legacy platforms. Partner with Product, Data Science, and Data Engineering teams to deliver scalable backend services and intuitive applications.
Architect and implement AI-native backend systems to integrate EvolutionIQ's products into CCC's auto casualty business. This involves modernizing legacy platforms and setting engineering best practices through design docs and code reviews.
Lead the end-to-end design of new 0-1 and existing AI-powered B2B products from discovery through launch. Partner with Product and Engineering teams to shape strategy and translate complex business needs into usable product experiences.
Manage the full sales life cycle for Property & Casualty SaaS solutions, from prospecting and identifying needs to closing complex enterprise deals. Drive business growth by cultivating executive-level relationships and collaborating with product management to refine strategic direction.
The SME will validate AI-generated outputs and provide expert feedback on product features and user experience for a Workers' Compensation tool. Responsibilities include data labeling, prompt editing, and offering insights into claims management workflows.
