M3 Insurance operates a tech stack spanning Salesforce (sales), Snowflake + Redshift (analytics), and Python/ML libraries (TensorFlow, scikit-learn, PyTorch) — unusual depth for a traditional broker, suggesting internal data science capability beyond standard P&C operations. Active hiring tilts heavily toward sales (13 roles) against a backdrop of decelerating velocity, while pain points cluster around lead generation, renewal friction, and operational efficiency, indicating a sales organization stretched thin on pipeline and a backend team working to automate mail/claims processes.
M3 Insurance is a privately held insurance broker and risk management firm headquartered in Madison, Wisconsin, founded in 1968. The firm serves mid-market employers with employee benefits, property & casualty, workers' compensation, and related risk solutions, positioning itself as a hybrid of high-touch advisory and institutional scale. Active projects span sales operations (lead generation, targeted outreach), compliance and workflow standardization, business continuity planning, and employee training delivery. The organization operates across multiple states, navigating complex regulatory and jurisdictional claims environments while managing renewal cycles and client retention.
Salesforce (CRM), Snowflake and Redshift (data warehouse/analytics), Python with scikit-learn, TensorFlow, and PyTorch (ML), Dagster and Apache Airflow (data orchestration), and AWS RDS for operational databases.
Lead generation and sales pipeline, renewal process friction, client retention, multi-state claims complexity, mail handling automation, and operational time reduction—concentrated in sales and back-office operations.
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