Teams at EvolutionIQ

Investigate and resolve technical customer tickets, collaborate with Solutions Engineering on analytics and data insights, support client deliverables, track SLAs, and identify ticket trends that inform product and engineering priorities. The role bridges Technical Support, Product Management, Engineering, DevOps, and client-facing teams while using Python and SQL for investigations.

Provide frontline technical support for an enterprise AI SaaS platform through email, chat, and ticketing systems. Diagnose issues, replicate bugs, query databases with SQL, investigate data discrepancies, and escalate complex problems. Educate nontechnical clients, manage cases in Salesforce and Zendesk, document solutions, optimize workflows, and share customer feedback with Product and Engineering. The role is suited to an early-career professional with a bachelor’s degree and interest in AI, SaaS, and technical product support.

Lead data science and analytics initiatives supporting product, engineering, leadership, and insurance clients. Analyze claims and product data, design experiments, generate hypotheses, measure ROI, build dashboards and reproducible analytics, and communicate actionable recommendations. Mentor junior analysts, conduct client-facing analyses, collaborate with ML teams, investigate data issues, and shape product strategy through sophisticated statistical modeling and exploratory analysis.