Principal Product Manager, Core AI Platform

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.

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 systems.

• Create shared platform 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 for the Core AI Platform to senior leaders, product teams, technical stakeholders, and customers.

• Define and monitor meaningful KPIs for platform adoption, AI quality, evaluation performance, developer velocity, reliability, and customer impact.

• Stay at the forefront of developments in agents, foundation models, evaluation methods, context engineering, semantic systems, and enterprise AI infrastructure—and translate those developments into concrete product opportunities for Qualtrics.

How You’ll Grow

• By shaping the technical and product foundations for the next generation of AI experiences across Qualtrics.

• Through developing deep expertise in emerging areas such as agent architecture, ontologies, semantic systems, evaluation, and AI infrastructure.

• 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’ Core AI Platform.

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

• Lead product strategy for areas including:

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

• Agent infrastructure, including orchestration, planning, tool use, delegation, and multi-agent patterns.

• Agent evaluation, including offline and online evaluation systems, task success measurement, quality frameworks, regression testing, and human-in-the-loop evaluation.

• Context engineering, memory, retrieval, and mechanisms for providing agents with the right information at the right time.

• AI observability and debugging capabilities that help teams understand why AI systems behave the way they do.

• Model infrastructure and abstraction layers that allow Qualtrics teams to use the right models for the right tasks while managing cost, latency, reliability, and quality.

• Guardrails, permissions, governance, and safety systems required for trusted enterprise AI.

• Work closely with product teams across Qualtrics to understand their AI use cases and identify opportunities for shared platform capabilities.

• Connect with enterprise customers to understand their expectations for trusted, explainable, governed, and reliable AI systems.

• Discover and prioritize platform requirements from product te

Similar jobs

• Principal Product Manager, AI — Zip · San Francisco
• Principal Product Manager, AI — Armada · Bellevue Office, Sunset Corporate Campus
• Principal Product Manager, AI/ML — Tatari · New York, New York, United States
• Principal Product Manager, AI/ML — Tatari · Los Angeles, California, United States
• Principal Product Manager, AI/ML — Tatari · San Francisco, California, United States
• Principal Product Manager, AI Infrastructure — Okx · San Jose, California, United States
• Senior Product Marketing Manager - AI Core Services — Tanium · Addison, TX (Hybrid); Bellevue, WA (Hybrid); Durham, NC (Hybrid); Emeryville, CA (Hybrid); Reston, VA (Hybrid)
• Principal Product Manager, Agentic AI Platform — Drata · Hybrid - San Francisco