AtScale, the leader in governed semantic layer technology for enterprise AI and analytics, announced the appointments of Luis Maldonado as Chief Product Officer and Amy Miller as Vice President of Customer Success. The leadership expansion follows AtScale’s recently closed strategic equity investment round led by Snowflake Ventures and marks the next phase of growth as the company scales to meet accelerating enterprise demand for AI-ready data infrastructure.
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As enterprises move from AI experimentation to production deployment, governed business context, performance optimization, and cost control are becoming foundational requirements. AtScale’s semantic layer provides the trusted, reusable business logic that powers AI agents, analytical applications, and BI tools across modern cloud data platforms.
Luis Maldonado Appointed Chief Product Officer
Maldonado brings more than 30 years of experience building and scaling enterprise software products. Over the past 15 years, he has focused on data and analytics platforms, delivering solutions across data engineering, data lakes and warehousing, and security analytics.
Most recently, Maldonado served as Vice President of Product at dbt Labs. Previously, he held product leadership roles at Amazon Web Services, Sqrrl Data (acquired by AWS), and Akamai Technologies.
“Luis brings deep product leadership at a time when enterprises are moving from AI experimentation to AI infrastructure,” said Chris Lynch, CEO at AtScale. “Building durable, governed systems that scale takes experience and discipline. Luis has spent his career delivering enterprise platforms that meet that standard. That’s exactly where AtScale is headed.”
Maldonado will lead AtScale’s global product strategy and roadmap, accelerating innovation across semantic modeling, performance optimization, and AI integration.
“AtScale sits at a critical intersection of data, governance, and AI,” said Maldonado. “AI systems require trusted, consistent business logic to operate reliably at scale. I’m excited to lead our product strategy as we continue building the semantic foundation enterprises need to drive analytics, control costs, and deploy AI with confidence.”
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