Precisely names Matt Waxman as chief product officer to lead data integrity and AI strategy

Precisely named Matt Waxman as Chief Product Officer on April 8, 2026. He previously led product at Arctera, Cohesity, and Dell EMC, overseeing data management and protection platforms.

Categorized in: AI News Product Development
Published on: Apr 09, 2026
Precisely names Matt Waxman as chief product officer to lead data integrity and AI strategy

Precisely Names Matt Waxman as Chief Product Officer

Precisely, a data integrity software company, appointed Matt Waxman as Chief Product Officer on April 8, 2026. Waxman will oversee product strategy and innovation across the company's portfolio, including its Data Integrity Suite, while leading efforts to develop what Precisely calls "Agentic-Ready Data" - data prepared for autonomous AI systems.

Waxman spent more than two decades in enterprise software product leadership. He previously held CPO roles at Arctera, where he oversaw a $400 million data management business spun out from Veritas, and at companies including Cohesity, Puppet, and Dell EMC, where he managed data protection and multi-cloud platforms.

Why This Matters for Product Leaders

The hire reflects a shift in how enterprises approach data and AI. As organizations move past initial AI experiments toward deploying autonomous systems, data quality becomes a constraint. Precisely's CEO Walid Abu-Hadba said Waxman's experience building data platforms will help the company "advance our portfolio and help customers prepare their data for the next generation of AI-driven applications."

Waxman will coordinate across engineering, go-to-market teams, and customers to expand AI capabilities and help organizations prepare data environments for AI and automation at scale.

The Data Integrity Gap

Precisely positions its work around what it calls the "AI Data Integrity Gap" - the gap between organizations' AI ambitions and their actual data foundations. The company's Data Integrity Suite handles data integration, governance, and enrichment.

In a statement, Waxman said: "AI is fundamentally changing how organizations use data, but the success of those systems depends entirely on the quality and context of the data behind them."

Precisely serves 12,000 organizations across more than 100 countries, including 95 Fortune 100 companies.

Related reading: AI for Product Development and AI Learning Path for Product Managers


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