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Senior Product Manager - Core AI (Understand)

Qualtrics
Location
Seattle, Washington, United States
Posted
23 days ago
Department
Core AI
What they actually want (must-haves)
  • Bachelor's degree in Engineering, Computer Science, Data Science, Business, or a related field
  • 5+ years of product management experience, including significant experience building technically complex platforms, AI/ML products, data systems, developer platforms, or analytics products
  • Proven track record of defining product strategy and delivering technically sophisticated products in partnership with engineering, machine learning, data science, or AI research teams
  • Strong understanding of modern AI system architecture and the tradeoffs involved in building production-grade AI applications
  • Excellent analytical and problem-solving skills, particularly in ambiguous technical domains where best practices are still emerging
  • Strong communication and collaboration skills, with demonstrated ability to influence senior leaders and build alignment across diverse teams
Nice to have
  • Hands-on product experience in ontologies, knowledge graphs, semantic layers, taxonomies, or metadata systems
  • Experience in text analytics, NLP, or LLM-based enrichment of unstructured data
  • Familiarity with predictive modeling, forecasting, driver analysis, or causal inference products
  • Experience in simulation, synthetic data, or scenario modeling
  • Knowledge of model and system benchmarking, or AI/agent evaluation systems
What the job really is

As a Senior Product Manager for the Core AI team at Qualtrics, you will define and execute the product strategy for the Understand layer, which transforms raw experience data into structured insights. Your role involves managing the lifecycle of AI capabilities, collaborating with cross-functional teams, and developing frameworks for evaluating AI model quality. You will also prioritize investments based on customer value and lead initiatives that enhance AI product development across the organization.

Benefits
  • Experience Bonus of $1,800 annually for personal experiences
  • Encouragement to devote 10% of time to personal learning and development
  • Opportunity to shape foundational technology for AI experiences
  • Role with significant technical depth, strategic influence, and cross-company impact
  • Satisfaction of building platforms for ambitious, reliable AI products
  • Hybrid work model with in-office collaboration three days a week
Things to weigh
  • No specific mention of the technology stack or tools used
  • Role involves significant cross-functional collaboration, which may require strong interpersonal skills
  • The position requires balancing strategic vision with technical details, which could be demanding
Job score3.4/5
Benefits3/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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