Sales Engineer - ISO

The Sales Engineer serves as a trusted pre-sales advisor who helps insurance carriers, government agencies and Third Party Administrators (TPA’s) evaluate, validate, and adopt Verisk anti-fraud solutions. Working closely with Sales and client stakeholders across SIU, Claims, Analytics, and Technology, this role leads discovery, solution applicability, product demonstrations, proof-of-value engagements, and technical validation throughout the sales cycle. The Sales Engineer translates business challenges into solution recommendations, communicates value to technical and executive audiences, and supports a seamless transition from sale to implementation. Bachelor's degree or equivalent professional experience. 6+ years of experience in insurance claims, SIU or fraud investigation, fraud analytics, insurance technology, consulting, sales engineering, or a related field. Strong understanding of claims and fraud workflows, suspicious activity indicators, operational KPIs, and the practical use of analytics. Experience leading discovery, translating needs into solution requirements, and connecting capabilities to measurable outcomes. Experience delivering product demonstrations, workshops, technical presentations, or executive briefings. Excellent consultative communication, presentation, facilitation, and written communication skills. Ability to manage multiple sales opportunities and collaborate effectively across business and technical teams. Proficiency in Microsoft PowerPoint and Excel. Ability to travel regularly, occasionally up to approximately 30%-50%. Preferred Qualifications Experience in a Sales Engineer, Solutions Consultant, Pre-Sales Consultant, or similar client-facing technical sales role. Insurance carrier or insurance technology vendor experience. Experience with SIU operations, government investigations, advanced fraud analytics, pilots, proofs of concept, RFPs, or large-scale implementations. Familiarity with Verisk ISO solutions such as ClaimSearch, scoring solutions, Research Hub, and Digital Media Forensics. Working knowledge of data integration concepts, APIs, file-based data exchange, data quality, security reviews, and enterprise technology environments. Industry certifications or memberships such as CPCU, ARM, CFE, or FCLA. #LI-MB1 #LI-Remote