Senior Product Manager - Core AI (Understand)

About this role

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.

Senior Product Manager, Core AI (Understand)

Why We Have This Role

• Define the future of Qualtrics' Understand layer — the intelligence that turns raw experience data into structured meaning, prediction, and insight across the entire portfolio.

• Own the product strategy for the capabilities that let AI systems and product teams reason about experience data: ontologies and semantic systems, text analytics enrichments, prediction, simulation, and benchmarking.

• Own the Core AI platform foundations that these capabilities depend on: agent infrastructure, context and memory, tools and orchestration, agent evaluation, observability, and AI safety.

• Manage the entire lifecycle for multiple functional areas of Understand, 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 what enrichment, modeling, and platform capabilities they need 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 strategy, requirements, and roadmaps.

• Define product strategy across the Understand surface area: ontologies and semantic layers, text analytics and enrichment pipelines, predictive models, simulation, benchmarking, and the agent runtime, orchestration, memory, evaluation, and guardrail capabilities that support them.

• Prioritize investments based on customer value, insight quality, 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, accuracy, reliability, safety, and business impact of enrichment models, predictive systems, and agentic AI.

• Build the benchmarking discipline that lets Qualtrics prove its models and enrichments are better than alternatives — internally and to customers.

• Create shared capabilities that accelerate AI development across Qualtrics while providing the reliability, governance, security, and observability required by enterprise customers.

• Develop and communicate a compelling vision and roadmap to senior leaders, product teams, technical stakeholders, and customers.

• Define and monitor meaningful KPIs for adoption, model and enrichment quality, prediction accuracy, evaluation performance, developer velocity, reliability, and customer impact.

• Stay at the forefront of developments in foundation models, agents, evaluation methods, semantic systems, causal and predictive modeling, simulation, and enterprise AI infrastructure — and translate them into concrete product opportunities.

How You'll Grow

• By shaping the technical and product foundations for how Qualtrics understands experience data.

• Through developing deep expertise across ontologies, semantic systems, text analytics, prediction, simulation, benchmarking, agent architecture, and evaluation.

• By making high-leverage product decisions that influence multiple product lines and teams.

• Through leading complex, ambiguous initiatives that require alignment across product, engineering, research, data science, security, and go-to-market organizations.

• By developing your ability to connect rapidly evolving AI technologies to durable customer value and differentiated product strategy.

Things You'll Do

• Develop and execute the product strategy for Qualtrics' Understand layer.

• Define the foundational architecture and capabilities required for teams across Qualtrics to build reliable, differentiated AI experiences.

• Lead product strategy for areas including:

• Ontologies and semantic layers — grounding AI systems in the meaning and relationships within enterprise experience data.

• Text analytics and enrichments — topic and theme detection, sentiment and emotion, intent, effort, entity extraction, summarization, and the enrichment pipelines that make unstructured feedback machine-usable at scale.

• Prediction — predictive models over experience and operational data, including churn, satisfaction, and outcome modeling, and the drivers behind them.

• Simulation — modeling how experience programs, interventions, and design choices would perform before they ship, including synthetic respondents and scenario modeling.

• Benchmarking — internal and external benchmarks for model and enrichment quality, plus customer-facing benchmarks that put results in competitive and industry context.

• Agent infrastructure — orchestration, planning, tool use, delegation, and multi-agent patt

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