Qualtrics Appoints New CTO to Scale AI Platform Tools
The new hire will lead platform engineering, signaling a transition toward more intensive AI-powered experience management.
Updated on Oct. 26, 2026 in People
Live Poll
Do you trust that businesses can successfully integrate AI to improve your customer experience?
Qualtrics has appointed Mike Potter as its new Chief Technology Officer to lead the company's platform architecture and engineering efforts. The move signals a strategic push to expand the XM Data & AI platform beyond traditional feedback and survey services.
Why it matters
As Qualtrics evolves its product set, the appointment highlights a broader industry shift toward AI-powered experience management that requires more robust enterprise infrastructure. Hiring leadership with experience scaling data systems is critical for companies moving from point-solution software to comprehensive, AI-integrated platforms.
Mike Potter brings 25 years of technical leadership experience, having previously managed engineering, data, and security operations across multiple firms. His mandate involves scaling infrastructure to support AI-driven applications.
The players
Qualtrics
An enterprise software company providing experience management platforms for customer and employee feedback.
Mike Potter
The new Chief Technology Officer at Qualtrics with 25 years of experience in product, engineering, and data security.
The details
Potter will oversee the architecture and engineering of the Qualtrics XM Data & AI platform. This role involves transitioning the company's technical stack to support enterprise-scale AI, moving the business beyond its core reliance on survey and feedback collection. Potter brings experience from previous tenures at Petal and Qlik, where he managed product and IT infrastructure.
Timeline
October 26, 2026: Qualtrics officially announced the appointment of Mike Potter.
Market Landscape
The appointment follows an industry-wide push to transition specialized feedback tools into comprehensive AI-driven platforms. This move centers on scaling the XM Data & AI platform to compete in a market increasingly defined by predictive analytics.
Operators using platform-based feedback tools should track how infrastructure updates impact system latency and data integration capabilities. Companies looking to implement similar AI-driven experience models should monitor the architectural changes Potter prioritizes for enterprise scalability.
The takeaway
The appointment underscores the necessity of deep technical infrastructure to support AI-powered business tools at scale. Operators should track the platform's upcoming architectural updates to evaluate if their current data integration workflows will remain compatible with new AI-driven application requirements.
Further reading
For more on shifts in the enterprise software leadership landscape, visit our People section.
Source note: This article includes information reported by The AI Software Report.
Live Poll
Do you trust that businesses can successfully integrate AI to improve your customer experience?
