Claims Handler

Location:Dallas, TX (hybrid) Hybrid| Full-time Compensation: $50,000 - $75,000 We are hiring on behalf of our client, a high-growth claims management organization, applications are being accepted for an Auto Claims Handler to join their office in Dallas, TX on a hybrid schedule. This role is tailored for an ambitious claims professional with 3+ years of experience who is seeking a fast-paced environment where advancement is driven by performance and capability rather than traditional tenure. The client prioritizes talent, strong work ethic, and professional drive, providing dedicated training and resources focused on quality oversight, performance analytics, and capacity planning to prepare high-performing adjusters for future leadership pathways. Key Responsibilities Manage auto claims end-to-end, maintaining oversight from initial notification of loss through final settlement. Serve as the primary point of contact for policyholders, providing clear, professional communication throughout the claims lifecycle. Review documentation, verify policy coverage, and determine liability accurately. Evaluate physical damage, analyze repair estimates, assess total loss valuations, and manage total loss and salvage processes. Evaluate bodily injury claims and manage Personal Injury Protection (PIP) / Medical Payments (MedPay) files. Establish appropriate reserve levels and settle claims within designated authority limits. Detect potential indicators of fraud and detect suspicious files to the appropriate channels. Maintain complete, accurate claim files to ensure strict adherence to audit and compliance standards. Identify workflow bottlenecks and contribute to continuous process improvement. Location: Based in Dallas, TX with active U.S. work authorization (hybrid attendance required). Experience: 3+ years of hands‑on auto claims handling experience, including property damage and total loss claims. Licensing: Active Texas (TX) Adjuster License is required; additional licensing in NY, CA, FL, or GA is considered a strong plus. Technical & Soft Skills: Strong organizational skills, self‑directed prioritization, and comfort leveraging operational metrics to guide decisions. Preferred Experience: Exposure to subrogation, experience mentoring or coaching junior peers, or a background in startup and high‑growth organizational settings. Competitive base salary ($50,000 - $75,000 annually) Quarterly performance bonus potential (up to 15%) Equity participation via company stock options Comprehensive medical insurance coverage 401(k) retirement savings plan with a 5% employer match Paid time off (PTO) Accelerated career growth and promotion pathways within a high-performance environment Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing View email address on click.appcast.io. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting View email address on click.appcast.io. #J-18808-Ljbffr MLabs