NICE
Big data capture and analysis • Multi-channel interactions Recording • Financial crime solutions • Customer experience management solutions • Security and public safety solutions
Product Pre-Sales Engineer
December 12
NICE
Big data capture and analysis • Multi-channel interactions Recording • Financial crime solutions • Customer experience management solutions • Security and public safety solutions
Description
• Seeking a Solutions Engineer to contribute to CXone Customer Engagement Analytics presale function. • Will deploy a consultative approach to uncover customer needs and prepare materials for presales and sales teams. • Support the sales team as an AI and Analytics subject matter expert. • Manage customer requirements and foster an integrated team approach to customer engagement. • Provide product feedback and maintain knowledge of modern technologies across AI, Analytics, and cloud platforms.
Requirements
• BA/BS degree in a technical field such as engineering, computer science, mathematics, or information technology. Master’s degree is also beneficial. • 5+ years of experience in hands-on practical technical experience in (solutions engineering, sales architecture, data, implementation) that was engaged in planning, executing, and managing of complex software sales. • Excellent project management skills with the ability to effectively manage multiple complex opportunities simultaneously. • Experience with cross-functional project and deal teams within Enterprise software/ business solutions. • Experience working with AI and Analytic solutions, customer contact centers or other customer service functions • Experience using or building analytics within the contact center environment to analyze customer interactions, identify trends, and use data to improve customer satisfaction and operational efficiency. • Experience using or building tools like speech analytics, sentiment analysis, and customer journey mapping to translate customer engagement insights into actionable business strategies. • Experience in a role with direct client interaction, with the ability to communicate business and technical concepts to non-technical business users as well client technical stakeholders. • Experience working in Natural Language Processing (NLP), predictive modeling, big data analytics, and generative AI. • Experience developing and deploying machine learning models, analyzing large datasets, and applying advanced AI techniques to solve complex business challenges. • Experience in building and working with Business Intelligence reports doing data analysis and report creation using platforms such as Power BI or Tableau
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