Review AI-generated outputs for commercial insurance submissions against carrier underwriting standards, build QA processes from scratch, and collaborate with engineers to encode underwriting logic into systems. Requires 7+ years carrier-side P&C experience.
150k – 190k/yr
On-site7+ YOEOther
About the role
What You'll Do
Review real submissions and AI outputs daily — Pull up what our system generated, compare it to what a carrier underwriter would expect, and tell us what's broken; this is your core loop, not a periodic review
Build the underwriting review function from scratch — There's no established QA process for submission quality; you define what good looks like, create the review cadence, and own the standard
Gate what ships — Review risk assessment logic, submission workflows, and quoting outputs before they reach customers; nothing with underwriting implications goes live without your sign-off
Shape how our AI thinks about risk — Work directly with engineers to translate underwriting judgment into system logic; you're a thought partner sitting next to the team, not a requestor sending requirements over email
Give us carrier-side feedback — Tell us what carriers and wholesale partners actually care about; what frustrates them about working with brokerages; help us build processes that make their lives easier
Flag what we're missing — Coverage gaps, compliance issues, edge cases, and submission quality problems that a carrier-side underwriter would catch immediately but our team might miss
Requirements
7+ years of commercial P&C underwriting experience
Deep working knowledge of commercial lines products—GL, BOP, WC, commercial property, professional liability, and/or cyber
Experience evaluating submissions, assessing risk, and working with brokers or agents on the carrier side
Able to be a thought partner with engineers—not just translating underwriting concepts, but thinking through how to encode them into systems
Comfortable building without an established underwriting review team or QA infrastructure—you're creating this function, not stepping into one
Comfortable in a high-intensity, in-office, fast-paced environment with fixed working hours
Nice to Have
Insurance designations (CPCU, AU, AINS, CIC, ARM)
Experience at an MGA, program administrator, or wholesaler
Familiarity with how AI/ML is being applied in insurance
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