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Leads Verisk’s product sales team, owns annual sales targets, coaches executives, establishes sales best practices, supports complex opportunity strategy, develops value propositions and proposals, and builds trusted relationships across customers and internal Product, Sales, and Marketing teams.

Own the full catastrophe model product lifecycle, including strategy, investment cases, science translation, client engagement, competitive analysis, launches, and adoption. Lead cross-functional collaboration across research, software development, marketing, sales, consulting, client services, and regulatory affairs. Serve as an industry thought leader through client forums, conferences, publications, and commentary on catastrophe risk, regulatory developments, and scientific advances.

Designs, builds, tests, and deploys enterprise AI solutions using low-code and pro-code tools. Leads business-requested AI engagements, develops agents, workflows, integrations, MCP components, and knowledge-retrieval solutions. Partners with stakeholders to translate requirements into secure, governed, measurable solutions while managing request queues, documentation, support transitions, and reusable engineering patterns. Applies enterprise identity, authentication, authorization, data protection, and responsible AI practices.

Support development and modernization of personal lines actuarial products by performing pricing, territory, and rating plan analysis. Research new modeling techniques and data sources, respond to customer and regulatory inquiries, produce marketing and client materials, and collaborate across actuarial, product, compliance, and data teams to deliver actionable insights.

Supports internal teams and external insurance clients through actuarial expertise, ad hoc analysis, and business process improvement. The role focuses on life insurance and annuity markets and requires strong analytical and problem-solving skills, familiarity with Microsoft Office applications, and preferably a bachelor’s degree in mathematics, statistics, actuarial science, or a related field. ASA designation is preferred, while ACAS designation is a plus.

Provides technical leadership and hands-on software development within a collaborative product team. Responsibilities include designing, coding, testing, troubleshooting, improving CI/CD and engineering practices, supporting production reliability and on-call operations, guiding AI-assisted development, mentoring engineers, managing technical risks, and coordinating technical initiatives across teams. The role requires building and operating production applications across web, backend, and mobile platforms.

Responsible for identifying, developing, and closing complex insurance technology sales opportunities across an assigned U.S. territory. Manages new business and existing-account revenue, builds strategic pipelines, conducts consultative sales, develops proposals and contracts, maintains Salesforce activity, and collaborates with product, marketing, and sales teams. The role focuses on exceeding $3.5M–$6M annual sales goals, retaining customers, and building relationships with insurers, InsurTechs, brokerages, MGAs, and agencies. Remote work is required, with travel of up to 50%.

Manage and coach Account Executives selling complex catastrophe risk modeling and enterprise software solutions to reinsurance and insurance clients across the Americas. Drive team and individual sales goals, develop territory strategies, support proposals and contracts, maintain CRM activity, strengthen client relationships, and identify market trends and product opportunities. Travel to select clients and industry conferences 10–20% of the time.

Manage the full enterprise software sales lifecycle across North American reinsurance and insurance accounts, including prospecting, needs analysis, presentations, proposals, negotiation, and account growth. Build customer relationships, navigate complex buying groups, manage CRM activity, set account goals, and represent Verisk at industry conferences. Travel to selected clients and events approximately 10–20% of the time.

Builds and optimizes AWS infrastructure, CI/CD pipelines, and automated deployments for mission-critical applications. Troubleshoots Linux, Windows, IIS, application, and server issues; monitors production systems; resolves incidents; leads migrations; and performs root-cause analysis. The role also mentors junior engineers and improves automation, reliability, stability, and operational performance.