Guidewire is widely recognized as the leading provider of software solutions for the property and casualty insurance industry. Our software offers property and casualty insurance companies the tools to take care of their customers when they need it the most, whether that’s a time of crisis, a natural disaster, an accident, or exposure to cyber risks. We are looking for an accomplished leader to join Guidewire’s Product organization, and lead a cross-functional team to drive innovation and continued success for our flagship Policy and Billing products. You will be responsible for understanding all aspects of the Policy and Billing business, including go-to-market, alliances, product strategy, product development, and delivery. The focus of this role is to identify new opportunities that leverage Guidewire’s cloud platform and AI technologies to help our Policy and Billing customers achieve their business goals and transform policy admin and billing in P&C insurance. In this role you will lead a global product team spanning P&C insurance domain experts, UX design, engineering, product marketing, alliances and other cross-functional teams to own and drive Policy and Billing product vision and strategy from ideation to successful adoption by Guidewire customers. You will be responsible for understanding the Policy and Billing business, including alliances and Go-to-Market. You will work with Sales and Go-to-Market leadership to set and track targets, understand pipeline, assist with deal closures, and ensure internal and external enablement and education of policy and billing product and features to further adoption. You will also work with our alliances team to understand insurtech and partner offerings that can further the Policy and Billing roadmap and vision. This position is remote, however, expectation of travel to Guidewire, San Mateo HQ and customers globally is expected. At Guidewire, we foster a culture of curiosity, innovation, and responsible use of AI—empowering our teams to continuously leverage emerging technologies and data-driven insights to enhance productivity and outcomes.
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Job Type
Full-time
Career Level
Executive
Number of Employees
1,001-5,000 employees