Leo Brunnick, Chief Product Officer at Cloudera – Interview Series

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Leo Brunnick, Chief Product Officer at Cloudera, is a veteran technology executive and entrepreneur with more than three decades of experience building and scaling software, digital media, and enterprise technology organizations. At Cloudera, he leads Product Management, Engineering, and Customer Support, overseeing the company’s product and technology direction as it expands its data and AI platform capabilities.

Before joining Cloudera in 2025, Brunnick spent six years at Naviga, most recently as Chief Operating Officer, where he led more than 600 professionals across product, engineering, marketing, R&D, customer support, and professional services. Earlier in his career, he founded and served as CEO of Patheos, growing the digital media platform to approximately 15 million monthly visitors before a successful exit, and spent eight years as Chief Product Officer at enterprise content management company Vignette.

His background also includes technology consulting at Andersen Consulting and service as a U.S. Marine Corps infantry officer.

Cloudera is an enterprise data and AI company focused on helping organizations manage, govern, analyze, and apply AI to data wherever it resides—across public clouds, private data centers, and edge environments. Its hybrid platform combines data management, analytics, machine learning, generative AI, and increasingly agentic AI capabilities while emphasizing enterprise security, governance, privacy, and workload portability.

The company’s current platform strategy includes Cloudera Anywhere Cloud, an architecture designed to give enterprises a consistent cloud experience across different infrastructure environments, alongside an open data lakehouse, unified data fabric, real-time data processing, and tools for developing and deploying AI models and agents. Cloudera says its technology manages more than 25 exabytes of data and is used by large global enterprises seeking to modernize data infrastructure without requiring all workloads or sensitive data to move into a public cloud.

Your career has spanned technology consulting, leading product organizations at Vignette and Naviga, founding and scaling Patheos, and now serving as Chief Product Officer at Cloudera. How have those experiences shaped the way you think about building enterprise technology platforms at a time when AI is fundamentally changing how organizations use their data?

Across all of those situations, the same principle applies. Technology is most valuable when it makes something complicated easier for people to use. This point is even more important now, as AI creates significant opportunities while also adding another layer of complexity for businesses already navigating cloud data, data centers, and increasingly sovereign environments.

As we build this next era at Cloudera, I often consider how we can enable organizations to benefit from new technologies without requiring them to rethink everything they have already built. Over the past several years, enterprises have built up their data estates, applications, governance models, and operational processes. It wouldn’t be reasonable to discard all of that every time a new technology appears.

The platforms that succeed in the AI era will build on what organizations already have while giving them the flexibility and control to adapt as their needs evolve.

Cloudera recently introduced Cloudera Anywhere Cloud to help enterprises build and operate AI across public clouds, private infrastructure, sovereign clouds, on-premises environments, and the edge. What problem were you seeing among customers that convinced Cloudera this type of unified architecture was necessary?

There is growing pressure on customers to put AI into practice, even as their data and infrastructure are spread across more environments than ever before. Data may live across public clouds, private data centers, sovereign environments and the edge, each with its own security, regulatory, performance and economic requirements. Managing all of these environments can create a significant operational burden for organizations.

The idea behind Anywhere Cloud is that businesses should not have to choose between the agility of the cloud and maintaining control, security, and governance over their data. Organizations need a consistent way to deploy, govern and scale data and AI services wherever it makes the most sense for the business. With a single control plane, companies can spend less time managing the underlying infrastructure and more time focused on the outcomes they want to achieve with their data and AI, no matter what environment it lives in.

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