Qualtrics
Seattle · XM platform
- HQ
- Provo, US
- Founded
- 2002
- Website
- qualtrics.com
Qualtrics currently has six active job listings related to artificial intelligence. The majority of these roles, 83%, are in the agents stage, with one role in the application stage. Engineering is the most frequent function with four listings, followed by Product with two. The company is hiring exclusively within the United States. Frequent tech tags include agent_orchestration, evals, and llm_observability, suggesting a focus on agent development and evaluation. Over the last 30 days, Qualtrics has posted five new AI roles, a 44% decrease compared to the previous 30-day period.
Seattle · XM platform
Currently tracking 6 active AI roles, down 47% versus the prior 4 weeks. Primary focus: Agent · Engineering.
Qualtrics currently has 7 active AI-related roles in our index. The most common open titles are: AI Security Architect, Principal Product Manager, Core AI Platform, Senior Applied Scientist, Senior Manager, Product Management - Text Analytics, Staff Applied Scientist . Most positions are in Engineering and Product.
Qualtrics's active AI hiring is concentrated in: agents (86%), application (14%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Qualtrics is hiring AI talent in: United States (7 roles).
Job postings at Qualtrics most frequently mention: Dialog Systems, Team Building, Production ML Systems, Model Monitoring, Manufacturing.
In the past 30 days, Qualtrics has posted 3 new AI-related roles. That is a -75% change versus the prior 30 days (12 → 3).
| Title | Stage | AI score |
|---|---|---|
| Senior Manager, Product Management - Text Analytics Senior Manager, Product Management for Text Analytics at Qualtrics. This role leads the strategy and execution to evolve the company's text analysis engine from classical ML/rules-based structures to a hybrid architecture leveraging LLMs for enterprise scale. The role involves managing a team of product managers, partnering with applied science and engineering, and influencing how clients understand unstructured data. Key responsibilities include defining a multi-year hybrid roadmap, scaling AI responsibly with evaluation frameworks, improving existing ML systems, leading product managers, and aligning cross-functional strategy. Requires proven PM leadership, AI/ML product delivery experience (NLP, text analytics, ML, AI-powered enterprise software), technical fluency in classical ML/NLP and LLM mechanics, and experience with cost/latency/performance modeling for ML/LLM systems. | ShipPost-train |
| 7 |