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Qualtrics

Senior Product Manager - Core AI (Understand)

Qualtrics · Seattle, Washington, United States

Posted 19 days ago

or apply directly on Qualtrics's site. We never take the application ourselves.

Is this posting real?

This role has been open
19 days
Qualtrics's roles stay open a median of 35 days
Reposted
No
Salary listed
No
0% of Qualtrics's roles list one
Ghost-job risk at Qualtrics
high
24 stale, 5 reposted of 57 open
Hiring momentum
93 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Qualtrics's own greenhouse board since 2026-08-03. Full hiring picture for Qualtrics.

About this role

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.

Our read on this posting3.4out of 5
benefits
3/5
freshness
4/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Qualtrics as an employer.

What you need

  • 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 you get

  • 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

Worth weighing

  • 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

Summarised from Qualtrics's posting. Read the full original.

Listed by Qualtrics on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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