Claims Adjuster – Commercial Auto Excess Casualty

🕒 May 2

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

📋 Claims Specialist

👻 Ghost score 56%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Reserv Claims

WebsiteLinkedInAll Job Openings

1 - 10 employees

🛡️ Insurance

☁️ SaaS

🤖 Artificial Intelligence

Insurance • SaaS • Artificial Intelligence

Reserv Claims is a B2B SaaS provider and third-party administrator (TPA) specializing in property & casualty (P&C) insurance claims. The company combines an AI-driven claims automation engine, a network of trained adjusters, configurable workflows, and analytics/APIs to help carriers, MGAs, and underwriters process claims more efficiently and deliver better outcomes. Reserv emphasizes a modern technology stack, data-driven reporting, white-glove service, and global operations across North America, the UK, and the EU.

📋 Description

• Investigate, evaluate, and resolve complex commercial auto liability claims involving excess layers of coverage, catastrophic injuries, multi-vehicle accidents, and high-exposure scenarios. • Conduct advanced coverage analysis, including policy interpretation, endorsements, exclusions, and multi-jurisdictional considerations. • Issue coverage position letters, including reservations of rights and denials, in alignment with regulatory and internal standards. • Oversee litigation, partnering with defense counsel to evaluate strategy, monitor case progression, and ensure cost-effective, data-driven decision-making. • Leverage Reserv's AI-powered tools to review claim summaries, severity predictions, and structured data insights to enhance accuracy and efficiency. • Evaluate primary carrier handling and determine when excess involvement is triggered, ensuring timely and appropriate intervention. • Collaborate with MGAs, carriers, brokers, and internal teams, providing clear communication and maintaining Reserv's high-touch, white-glove service standards. • Document all claim activity within Reserv's modern claims platform, ensuring data accuracy and compliance with internal and external requirements. • Participate in audits, trend analysis, and feedback loops to support continuous improvement and inform underwriting insights.

🎯 Requirements

• Bachelor's degree or equivalent experience. • 10+ years of commercial auto liability or casualty claims experience, preferably with excess or high-severity files. • Strong knowledge of coverage analysis, litigation management, and complex liability evaluation. • Excellent communication skills, with the ability to translate complex issues into clear, actionable insights. • Comfort working in a technology-driven environment with modern systems and data-rich workflows. • AIC, CPCU, SCLA, or similar designations preferred. JD is also a huge plus. • Experience with MGAs, TPAs, or non-admitted/excess & surplus lines. • Familiarity with AI-enhanced claims tools or modern claims platforms (a strong plus at Reserv).

🏖️ Benefits

• Generous health-insurance package with nationwide coverage, vision, & dental • 401(k) retirement plan with employer matching • Competitive PTO policy – we want our employees fresh, healthy, happy, and energized! • Generous family leave policy after 8 months of continuous work • Work from anywhere to facilitate your work life balance • Apple laptop, large second monitor, and other quality-of-life equipment you may want. • Technology is something that should make your life easier, not harder! • Listen to your feedback to enhance and improve upon the long-standing challenges of an adjuster and the claims role • Work toward reducing and eliminating all the administrative work from an adjuster role • Foster a culture of empathy, transparency, and empowerment in a remote-first environment