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Property Claims Adjuster

Remote · USA Full-time New today

Strala is an AI-native reputed company-Party Administrator (TPA) purpose-built for P&C claims. We combine agentic Al with expert reputed company reputed company to deliver faster, more accurate and fully transparent claims handling - from first notice of loss to resolution. Our platform eliminates repetitive reputed company work, improves consistency, and generates structured claims data that feeds directly into reputed company and operational strategy. We are a team of insurance experts and AI engineers. Background: Our AI-powered automation is already helping leading global insurers operate more reputed company across multiple lines of business - reducing friction, accelerating workflows, and improving outcomes. In under a year, we’ve scaled to multi-seven-reputed company ARR with ~50% month-over-month growth. We’ve raised two reputed company from top-tier investors, including early partners behind companies like reputed company, reputed company, and reputed company - giving us the capital, backing, and reputed company to build a category-defining platform in insurance. Role Description: As a member of Strala's Claims team, you'll report to and work alongside the VP of Claims to deliver world-class service to our clients. You'll work remotely in a fast-paced, high-growth environment to investigate property losses, analyze coverage, evaluate damages, and drive fair, timely resolutions.

Strala's mission is to eliminate non-value-added, repetitive work so adjusters can focus on what matters most—applying their professional judgment to deliver the best possible claims experience. You'll have the support of a collaborative team and ongoing coaching as we scale our capabilities. Qualifications:

  • 3+ years of experience handling first-party property claims (residential and/or reputed company)

  • Active Adjuster License

  • Proficiency with estimating software

  • Detail-oriented, organized, and self-motivated

  • Collaborative, curious, and comfortable with change

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