Jobs at ZestyAI

Owns multistate U.S. property and casualty insurance product filings from drafting through approval, including AI model documentation, SERFF submissions, objection responses, and regulatory inquiries. The role supports carrier clients, monitors state requirements, develops scalable filing processes, and coordinates with data science, actuarial, product, counsel, regulators, and industry stakeholders. Requires strong technical writing, insurance regulatory expertise, independent judgment, and the ability to translate complex predictive modeling methods into regulator-acceptable documentation.

Manage property insurance client relationships from onboarding through renewal, drive product adoption, connect usage to measurable outcomes, monitor client health, and identify expansion opportunities. Build relationships with underwriters, analysts, and product stakeholders while coordinating cross-functional support and conveying client feedback internally. The role requires strong communication, analytical, organizational, and client management skills, plus the ability to learn insurance workflows, analytics, and AI-driven products.

Own day-to-day accounting operations across accounts payable, accounts receivable, billing, cash reconciliation, employee expenses, month-end close, balance sheet reconciliations, and audit support. The role also improves accounting controls, processes, and automation while partnering with finance leadership and cross-functional teams in a remote-first environment.

Manage property insurance client relationships from onboarding through renewal. Drive product adoption, workflow integration, and measurable outcomes using ZestyAI solutions. Maintain regular client communication, support business reviews, monitor usage and client health, identify expansion opportunities, and relay feedback to internal teams. Collaborate with Product, Risk Analytics, Data Science, Support, Marketing, and senior Client Success leaders while developing expertise in insurance workflows, analytics, and AI-enabled tools.

Use diverse data sources to evaluate product performance, build automated ETL/data workflows, design dashboards and KPIs, own data product quality, and provide analytical insights to guide product and business decisions while establishing monitoring frameworks and best practices.