Emerging Technology GroupEmerging Technology Group (ETG) is ServiceNow’s Digital Technology (DT) internal incubation group. Being customer zero for ServiceNow products we ensure the products works for us internally and delivers value as it gets in hands of our customers. As Customer Zero we implement all our technology workflows and deliver the best experience. With AI everywhere we are in charge of AI Experiences which cut across the enterprise like Search, Conversational Interfaces, Automation, and helping our DT developers to be productivity to build enterprise grade products on ServiceNow Platform.We are focused on accelerating innovations and developing new concepts, forward-thinking solutions and products leveraging ServiceNow’s Intelligent platform and the best industry standards.If you enjoy learning, growing and making an impact, you will love being in this role. You get exposure to every facet of the enterprise and can make a meaningful impact on both the business and on the people who work here. You will face new obstacles and priorities every day, which can be invigorating and push the boundaries of your thought process.About the Role:We are seeking an AI Search Data Product Manager to lead efforts in driving search quality improvements across ServiceNow’s AI-powered enterprise search experiences. You will focus on ensuring our search solutions deliver fast, accurate, and contextually relevant results by driving content-related requirements and leveraging data-driven insights to optimize search relevance. In this role, you will collaborate with stakeholders across the organization to align search capabilities with business needs, ensuring our platform supports seamless knowledge discovery. You will also play a key role in crafting compelling data stories to communicate the value of search improvements and secure buy-in for your vision.Key Responsibilities:Content Requirements for Search: Define and drive content-related requirements that enhance search quality, including metadata, tagging standards, and content structures that improve discoverability and relevance. Partner with content teams to align on strategies that optimize search performance.Search Relevance Optimization: Use AI/ML techniques to refine search relevance and ranking. Collaborate with data scientists and engineers to fine-tune algorithms and improve contextual search outcomes.Data Storytelling: Translate complex data and search performance metrics into compelling narratives for technical and non-technical audiences. Use data-driven stories to illustrate the impact of search improvements and inform strategic decisions.Search Insights & Monitoring: Analyze user behavior, query patterns, and feedback to uncover opportunities for improvement. Establish systems to continuously monitor search performance and iterate on solutions.Search Experimentation: Develop and implement experimentation strategies to validate and refine search improvements. Use insights to guide future enhancements.Cross-Functional Collaboration: Partner with engineering, design, and analytics teams to ensure search experiences are intuitive, efficient, and aligned with organizational goals.Search Workflow Integration: Collaborate on integrating search with broader intelligent workflows, including conversational AI and automation tools, to streamline knowledge discovery and enhance productivity.User Advocacy: Champion the needs of end users by incorporating feedback into search enhancements and ensuring solutions provide meaningful value.Strategic Roadmapping: Develop and maintain a roadmap for search improvements, balancing quick wins with long-term goals to support evolving business and user needs.
