Principal Product Manager, Core AI Platform

Qualtrics•Seattle, WA

16h•Hybrid

About The Position

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.

Requirements

Bachelor’s 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.
Hands-on product experience in one or more of the following areas is strongly preferred: AI or agent evaluation systems.
Hands-on product experience in one or more of the following areas is strongly preferred: Ontologies, knowledge graphs, semantic layers, or metadata systems.
Hands-on product experience in one or more of the following areas is strongly preferred: Retrieval, context engineering, or AI memory systems.
Hands-on product experience in one or more of the following areas is strongly preferred: LLM infrastructure, model gateways, inference platforms, or AI developer platforms.
Hands-on product experience in one or more of the following areas is strongly preferred: 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.

Responsibilities

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.
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.
Lead product strategy for areas including: Agent infrastructure, including orchestration, planning, tool use, delegation, and multi-agent patterns.
Lead product strategy for areas including: Agent evaluation, including offline and online evaluation systems, task success measurement, quality frameworks, regression testing, and human-in-the-loop evaluation.
Lead product strategy for areas including: Context engineering, memory, retrieval, and mechanisms for providing agents with the right information at the right time.
Lead product strategy for areas including: AI observability and debugging capabilities that help teams understand why AI systems behave the way they do.
Lead product strategy for areas including: 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.
Lead product strategy for areas including: 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.

Benefits

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 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.
medical
dental
vision
life and disability
401(k) with match
paid time off
a wellness reimbursement
mental health benefits
an experience bonus