Vertically integrated insurance for self-storage and commercial real estate
SafeLease is an Austin-based insurtech running distribution, underwriting and reinsurance in-house, with self-storage as its core vertical. Its stack spans a TypeScript/React/Node.js product layer on AWS alongside a heavy analytics footprint (Snowflake, Databricks, dbt, Tableau, Power BI, Metabase), consistent with active work on modernizing analytics and an underwriting reporting platform. Sales leads the hiring mix, and a Revenue Lead search points to a push on pipeline growth.
Notable leadership hires: Revenue Lead
SafeLease is an insurance technology company founded in 2021 and headquartered in Austin, Texas. It builds commercial insurance products for self-storage owners and is expanding into broader commercial real estate coverage. The company handles distribution, underwriting and reinsurance under one roof, aiming to make commercial insurance cheaper and faster to distribute. It is privately held, employs 51–200 people, and hires in the United States.
SafeLease uses TypeScript, React, Node.js and Express.js on AWS (including Lambda, KMS and MWAA), plus Snowflake, Databricks, dbt, Tableau, Power BI and Salesforce. It is adopting Linear and Cursor.
Yes. Sales is the largest area of SafeLease's hiring, alongside engineering, finance and marketing, and the company is recruiting a Revenue Lead. Hiring is focused in the United States.
SafeLease is building client acquisition for its self-storage P&C product, an underwriting optimization reporting platform, policy customization for owners, and a retail agent and broker channel launch planned for 2026.
Other companies in the same industry, closest in size
SafeLease'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.