You will architect and own the backend systems that power AI-driven property risk intelligence at enterprise scale. You’ll design APIs, data pipelines, and model-integrated services that deliver reliable, real-time insights insurers can trust in billion-dollar underwriting decisions. As an early team member, you’ll collaborate closely with the founders to shape both the platform’s technical foundation and how cutting-edge AI is applied safely and effectively in the insurance industry.
At ResiQuant, we're tackling one of the biggest challenges in disaster resilience: the lack of accurate, standardized, and dynamic property data. In a world increasingly impacted by climate change and natural disasters like earthquakes, hurricanes, and wildfires, decisions about risk are often made with incomplete or incorrect information.
Our mission is to empower insurers, financial institutions, and asset managers with AI systems fused with structural engineering expertise. These systems bridge critical data gaps to deliver precise, actionable building insights for better decision-making.
Founded by Stanford PhDs, we are committed to leveraging cutting-edge AI to protect communities and businesses from disaster impacts. At ResiQuant, we're building a future where every organization has access to world-class property risk intelligence to drive resilience and safeguard what matters most.
Pay not posted
Posted Jun 23, 2026
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