Senior Product Manager Core AI (Understand)

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.

Senior Product Manager Core AI (Understand)

• 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.

• 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.

• 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.

• 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 patterns.
  • Agent and model evaluation offline and online evaluation systems task success measurement quality frameworks regression testing and human-in-the-loop evaluation.
  • Context engineering memory and retrieval 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 letting Qualtrics teams use the right models for the right tasks while managing cost latency reliability and quality.
  • Guardrails permissions governance and safety the systems required for trusted enterprise AI.
• Work closely with product teams across Qualtrics to understand their AI use cases and identify opportunities for shared capabilities.
• Connect with enterprise customers to understand their expectations for accurate explainable governed and reliable AI systems.
• Discover and prioritize 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 roadmaps and measurable outcomes.
• Manage complex cross-functional work across product engineering AI research data science UX design and research.
• Create strong adoption strategies so that new capabilities are easy to discover easy to use and meaningfully improve the speed and quality of AI product development.
• Know the technical landscape adoption metrics model quality measures and emerging market trends better than anyone.
• Lead the rollout of new capabilities including internal adoption developer enablement documentation customer communication and external positioning where appropriate.

• 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 AI/ML products data systems developer platforms or analytics products.
• 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 is strongly preferred:
  • Ontologies knowledge graphs semantic layers taxonomies or metadata systems.
  • Text analytics NLP or LLM-based enrichment of unstructured data sentiment topics intent entities summarization.
  • Predictive modeling forecasting driver analysis or causal inference products.
  • Simulation synthetic data or scenario modeling.
  • Model and system benchmarking or AI/agent evaluation systems.
  • Agentic AI systems and agent orchestration.
  • 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.
• Comfort reasoning about model quality: how to measure it how to improve it and how to communicate it credibly to customers.
• Ability to operate comfortably at both the strategic and technical levels from articulating a multi-year 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 products that serve internal developers external customers or both is a strong plus.

• The Understand team at Qualtrics builds the intelligence layer that turns experience data into meaning and 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 requires infrastructure that gives AI systems the right context understanding tools evaluation permissions and feedback loops to reliably accomplish meaningful work and models that genuinely understand what customers and employees are telling you.
• The team spans ontologies and semantic systems text analytics enrichments prediction simulation and benchmarking alongside the agent orchestration context and memory evaluation observability model infrastructure and governance capabilities that support them.
• We are seeking a Principal Product Manager who can define this layer 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 portfolio to understand the AI experiences they want to create identify common 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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