Matic runs a digital insurance marketplace that places home and auto coverage inside mortgage, banking and auto-finance journeys. Hiring is accelerating and skews heavily toward sales, while a heavy contact-center stack (Genesys, Five9, RingCentral, Twilio) points to an agent-assisted selling model. The data team works on a Snowflake + dbt + Meltano + Airflow pipeline, with predictive modeling and A/B testing projects aimed at acquisition and retention.
Matic is a privately held insurance marketplace founded in 2014 and headquartered in Columbus, Ohio. It connects consumers with homeowners and auto insurance from a network of more than 70 carriers. Distribution runs through partners in mortgage origination and servicing, banking and auto financing, which embed insurance into the home and vehicle ownership process. The company employs 201–500 people and is currently hiring in the United States across sales, data and support.
Matic uses Snowflake, dbt, Meltano and Apache Airflow for data, Tableau and Metabase for BI, React and TypeScript on the front end, Docker and Kubernetes for infrastructure, and Salesforce, Genesys and Five9 for sales.
Yes. Sales is the dominant hiring function at Matic, with hiring accelerating and focused mostly on junior and mid-level roles in the United States, alongside smaller data and support openings.
Matic is headquartered in Columbus, Ohio, United States. It was founded in 2014 and has 201–500 employees.
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Matic's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
