Qualtrics
Principal Product Manager, Core AI Platform
Seattle, Washington, United States · Principal
Sponsorship not specifiedDetected 5 days ago
Machine LearningData ScienceLLMsAgentic AIA/B TestingUX DesignProduct ManagementProduct StrategyManual TestingResearchCommunicationCollaborationProblem Solving
About the role
- 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.
- Join over 5,000 people across the globe who think that's work worth doing.
Responsibilities
- 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.
- 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.
- 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.
- Through developing deep expertise in emerging areas such as agent architecture, ontologies, semantic systems, evaluation, and AI infrastructure.
- 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' Core AI Platform.
Requirements
- Bachelor's degree in Engineering, Computer Science, Data Science, Business, or a related field.
- Strong understanding of modern AI system architecture and the tradeoffs involved in building production-grade AI applications.
- Strong understanding of enterprise software requirements, including security, permissions, privacy, governance, reliability, explainability, and scale.
- Ability to translate complex technical concepts into clear product strategy and communicate effectively with technical and non-technical audiences.
- 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.
- Create shared platform capabilities that accelerate AI development across Qualtrics while providing the reliability, governance, security, and observability required by enterprise customers.
- Define the foundational architecture and capabilities required for teams across Qualtrics to build reliable, differentiated AI experiences.
- Guardrails, permissions, governance, and safety systems required for trusted enterprise AI.
Nice to have
- Hands-on product experience in one or more of the following areas is strongly preferred:
Compensation
- Experience Bonus: Qualtrics offers US employees an annual $1,800 "experience bonus" to provide an experience they might not otherwise have—attend a sporting event or concert, travel somewhere new, or even support a nonprofit or infuse fun
Benefits
- Develop and communicate a compelling vision and roadmap for the Core AI Platform to senior leaders, product teams, technical stakeholders, and customers.
Company info
- 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.
- Connect with enterprise customers to understand their expectations for trusted, explainable, governed, and reliable AI systems.
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This listing is sourced directly from Qualtrics's careers page and normalized into a canonical job model.