Principal Product Manager, Core AI Platform

At Qualtrics we create software the worlds best brands use to deliver exceptional frontline experiences build high-performing teams and design products people love. But we are more than a platformwe 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 conventionbut 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 youll be part of a nimble group thats 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 wont have to look to find growth opportunitiesready or not theyll find you. From retail to government to healthcare were on a mission to bring humanity connection and empathy back to business. Join over 5000 people across the globe who think thats 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 Youll 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 infrastructureand translate those developments into concrete product opportunities for Qualtrics.

How Youll 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 Youll 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 teams customers prospects analysts researchers engineers and the broader AI ecosystem.
• Write Product Investment Documents and turn strategy into clear investment decisions platform roadmaps and measurable outcomes.
• Manage complex cross-functional work across product engineering AI research data science UX design and research.
• Create strong platform adoption strategies so that new infrastructure is easy to discover easy to use and meaningfully improves the speed and quality of AI product development.
• Know the technical landscape platform adoption metrics AI quality measures and emerging market trends better than anyone.
• Lead the rollout of new AI platform capabilities including internal adoption developer enablement documentation customer communication and external positioning where appropriate.

What Were Looking For On Your Resume

• Bachelors degree in Engineering Computer Science Data Science Business or a related field.
• 8 years of product management experience including significant experience building technically complex platforms infrastructure products AI/ML products developer platforms or data systems.
• A proven track record of defining product strategy and delivering technically sophisticated products in partnership with engineering machine learning data science or AI research teams.
• Hands-on product experience in one or more of the following areas is strongly preferred:
  • Agentic AI systems and agent orchestration.
  • AI or agent evaluation systems.
  • Ontologies knowledge graphs semantic layers or metadata systems.
  • Retrieval context engineering or AI memory systems.
  • LLM infrastructure model gateways inference platforms or AI developer platforms.
  • AI observability experimentation safety governance or reliability.
• Strong understanding of modern AI system architecture and the tradeoffs involved in building production-grade AI applications.
• Ability to operate comfortably at both the strategic and technical levels from articulating a multi-year platform vision to working with engineers and researchers on detailed product and architecture decisions.
• Strong understanding of enterprise software requirements including security permissions privacy governance reliability explainability and scale.
• Excellent analytical and problem-solving skills particularly in ambiguous technical domains where best practices are still emerging.
• Ability to translate complex technical concepts into clear product strategy and communicate effectively with technical and non-technical audiences.
• Strong communication and collaboration skills with demonstrated ability to influence senior leaders and build alignment across diverse teams.
• Experience creating platform products that serve internal developers external customers or both is a strong plus.

What You Should Know About This Team

• The Core AI Platform team at Qualtrics builds the foundational intelligence layer that powers AI experiences across our product portfolio.
• Our mission is to make Qualtrics the best place to build AI experiences grounded in the rich structure meaning and context of experience data.
• We believe the next generation of enterprise AI will require more than access to increasingly capable models. It will require infrastructure that gives AI systems the right context understanding tools evaluation permissions and feedback loops to reliably accomplish meaningful work.
• The team is building shared capabilities across ontologies and semantic systems agents orchestration context and memory evaluation observability model infrastructure and enterprise AI governance.
• We are seeking a Principal Product Manager who can help define this platform identify the highest-leverage investments and partner deeply with engineering and AI leaders to turn rapidly evolving technology into durable product advantage.
• This role will have broad influence across Qualtrics. You will work with teams across our product portfolio to understand the AI experiences they want to create identify common infrastructure needs and build reusable capabilities that increase the speed quality and ambition of AI development across the company.

Our Teams Favorite Perks and Benefits

• Experience Bonus: Qualtrics offers US employees an annual $1800 experience bonus to provide an experience they might not otherwise haveattend a sporting event or concert travel somewhere new or even support a nonprofit or infuse funds into a small business in your area.
• Learning and Development: All team members are encouraged to devote 10% of their time to personal learning and development.
• The opportunity to shape foundational technology that powers AI experiences across the Qualtrics portfolio.
• The opportunity to work on some of the most important and rapidly evolving problems in AI product development.
• A role with significant technical depth strategic influence and cross-company impact.
• The satisfaction of building platforms that enable teams across Qualtrics to create more ambitious reliable and valuable AI products.

The Qualtrics Hybrid Work Model:Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week work where you want owning the integration of work and life. #hybrid

Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability status as a protected veteran or any other protected characteristic.

Applicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave ActEqual Opportunity EmploymentEmployee Polygraph Protection Act

Qualtrics is committed to the inclusion of all qualified individuals. As part of this commitment Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process to perform essential job functions and/or to receive other benefits and privileges of employment please let your Qualtrics contact/recruiter know.

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