Claims Adjuster - Physical Damage
Nirvana InsuranceAtlanta, GAPosted 26 March 2026
Job Description
Claims Adjuster - Physical Damage
Who we are:
Nirvana is on a mission to harness the power of data to revolutionize commercial insurance and enable a safer world. We are bringing much-needed innovation into the legacy, trillion-dollar commercial insurance industry. We have developed cutting-edge predictive models that use real-time IoT data from billions of connected devices, allowing us to better understand and price risk. Our AI-driven platform fundamentally changes the way an insurance company operates with personalized risk scoring, faster underwriting, modernized claims, and proactive, data-driven insights to help customers prevent accidents.
We’ve already proven the scale—serving thousands of fleets and more than doubling our written premiums year over year. Our data moat is growing exponentially with more than 30 billion miles of telematics data, leading to more predictive models and new insights into how we can better understand and reduce risk. Altogether, our loss ratio, efficiency, and customer experience are redefining what can be done in the industry.
With $270+ million raised, including our Series D round in December 2025, we’re only accelerating our growth, with strong support from top-tier VCs including Lightspeed, General Catalyst, and Valor.
Born as a spinout of Nirvana and backed by the same investors, Vega Claims (AI native insurance claims solution) is building from the ground up to modernize the $250B global market.
For too long, the claims process has been a "black box" of manual workflows, fragmented data, and administrative friction. We are bringing a new era of intelligence to this trillion-dollar industry with an AI-native platform designed to turn claims into a competitive advantage. By unifying disparate data sources and automating complex adjudication tasks, Vega enables carriers and MGAs to move from reactive processing to proactive resolution. Our partners are seeing a significant reduction in cycle times and a drastic decrease in loss adjustment expenses (LAE), all while delivering the seamless, transparent experience today’s policyholders demand.
About the role:
Vega Claims is growing at light speed and we are officially opening our Active Talent Pipeline for Claims Adjusters. We believe the best hires happen through relationships.
We’re building a roster of top-tier talent so that when our next expansion phase hits, we’re ready to move instantly. If you have a passion for technical excellence and want to be part of an AI-native future, let’s start the conversation. In this role, you'll play a critical part in creating a world-class claims experience by handling first and third party claims, including cargo, auditing and driving claim success through a third party claims administrator.
We’re a distributed team spread across the US, Chile, and India, with offices in San Francisco, CA, Columbus, OH, New York, NY and Atlanta, GA. This role is a hybrid position going into the Atlanta office.
What you’ll do:
- Analyze coverage based on the facts of the loss
- Make informed liability decisions, including the consideration of comparative negligence
- Collaborate with claims leadership on severity losses, reserve adjustments and claim evaluations
- Negotiate settlements with first and third party claimants
- Utilize data available to drive focus on claim trends
- Handle special projects or additional duties assigned related to your role as an individual contributor of the claims organization
- Work across departments to pilot and test new innovations
About you:
- 5+ years of auto claims handling experience
- Active adjusters license in home or designated home state
- New York licensing required within first 3 months of employment
- Consistently exceeds targets including, but not limited to, cycle time and recovery rates
- Strong written and oral communication skills
- Bias-to-action - you’re not afraid to get your hands dirty and stretch yourself
- Owner mentality - take acco ... (truncated, view full listing at source)
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