Qualtrics

Principal Product Manager, Core AI Platform

Seattle, Washington, United StatesFull timeManager$199,500 - $262,000 / yearPosted 20 days ago
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At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers. When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing. Principal Product Manager, Core AI Platform Why We Have This Role Define the future of the core AI infrastructure that powers intelligent experiences across Qualtrics. Build the platform capabilities that enable product teams to create trusted, scalable, and differentiated AI experiences using structured and unstructured experience data. Own the product strategy for foundational AI capabilities such as ontologies and semantic systems, agent infrastructure, context and memory, tools and orchestration, agent evaluation, observability, and AI safety. Manage the entire lifecycle for multiple functional areas of the Core AI Platform, from framing the problem, to aligning on architecture and product direction, to forming the plan, delivering implementation, and iterating until the capabilities are world-class. How You’ll Find Success Partner with product, engineering, data science, research, and design teams across Qualtrics to understand the infrastructure and platform capabilities required to build exceptional AI products. Develop a deep understanding of the needs of both enterprise customers and internal AI product builders, and translate those needs into platform strategy, requirements, and roadmaps. Define product strategy for foundational AI capabilities, including areas such as ontologies and semantic layers, agent runtimes and orchestration, tool use, context engineering, memory, model access, agent evaluation, observability, and guardrails. Prioritize platform investments based on customer value, developer productivity, technical leverage, reuse across Qualtrics products, and opportunities for competitive differentiation. Collaborate deeply with engineering, AI research, and data science teams to make thoughtful product and architectural tradeoffs in a rapidly evolving technical landscape. Develop clear frameworks for evaluating the quality, reliability, safety, and business impact of agentic AI ...