Azul, the trusted leader in enterprise Java for today’s AI-first world, today announced the appointment of Matt Camassa as chief revenue officer (CRO). Camassa brings more than 20 years of experience building and scaling global enterprise sales companies and will lead Azul’s worldwide revenue organization — sales, solution engineering, partners, customer success and operations — as enterprises continue to turn to Azul to meet the performance, security and cost demands AI places on their Java estates.

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Matt Camassa, Chief Revenue Officer, Azul

Matt Camassa, Chief Revenue Officer, Azul

A Record of Scaling Enterprise Software Revenue and Global Teams

Camassa has built and led global revenue organizations at enterprise software companies selling mission-critical technology to large, sophisticated organizations. As CRO at TeleSign, he helped scale the business through a period of rapid growth, culminating in its acquisition by BICS in 2017. At Sift, a fraud-prevention company, Camassa led worldwide sales through a multi-year period of growth with strong net revenue retention. Most recently, Camassa served as an operating partner at Diversis Capital and, before that, an executive in residence at K1 Investment Management. In those roles he led go-to-market strategy, was a board member and advisor, and held multiple interim CRO roles at portfolio companies.

Leading Azul’s Global Revenue Organization

As CRO, Camassa will lead the global teams that sell and deliver Azul’s AI-first Java platform — Azul Prime, Azul Core, Azul Intelligence Cloud, Azul Payara Micro and Azul Payara Server — to enterprises worldwide. His priorities include:

  • Accelerating enterprise growth: Expanding Azul’s reach with the large, sophisticated enterprises that run their most critical systems on Java, from new customers to deeper adoption across existing customers.

  • Delivering the full value of the Azul platform: Helping customers address performance, cloud cost, security, modernization, and DevOps productivity across the breadth of Azul’s product portfolio.

  • Expanding global routes to market: Growing Azul’s cloud, technology and channel partnerships and its sales presence across North America, EMEA, APAC and Latin America.

“Throughout my career, I’ve seen enterprises invest in the platforms that solve their most urgent business problems, and today that means getting more out of Java as AI amplifies the pressure put onto the systems that run their business,” said Camassa. “Azul is in a unique position, providing a complete platform that makes Java faster, more secure and less expensive to run. The opportunity ahead is to bring the full breadth of that portfolio to more enterprises around the world, and I’m excited to lead the global revenue team to help make that happen.”

“Matt has successfully built global revenue organizations that sell mission-critical technology to the world’s largest, most sophisticated enterprises, and he has done it across multiple target markets and growth cycles,” said Scott Sellers, co-founder and CEO of Azul. “He knows how large enterprises evaluate and buy software and has a proven playbook for building high-performing teams around the world. Azul has grown from a Java runtime leader into a full AI-first Java platform, and Matt brings an exceptionally strong track record of success to our executive team to continue to take advantage of this period of momentum and growth for Azul.”

To learn more about Azul’s leadership team, visit azul.com.

FAQs

Why do AI workloads put pressure on enterprise Java applications?

AI agents and AI-powered applications call existing enterprise services at rates far higher than human users do, and a large share of those business-critical services run on Java. That added volume exposes JVM bottlenecks such as performance, garbage collection pauses, slow warm-up and memory overhead, all of which contribute to higher latency, inconsistent response times and larger cloud bills. Instead of adding more capacity, enterprises can address these bottlenecks in the runtime itself; Azul Prime is designed to deliver faster, more predictable Java performance for AI-driven workloads.

How should enterprises weigh AI capabilities when selecting a Java vendor?

Enterprises should weigh a Java vendor’s AI capabilities by how well its runtime handles the higher, less predictable load that AI applications and agents place on Java-based applications and services, how quickly it closes security gaps that AI-assisted attackers can now exploit, and whether it helps modernize applications for AI integration. The vendor’s roadmap matters because a Java support decision typically spans several years of AI adoption. Azul’s AI-first Java platform, spanning Azul Prime, Azul Core, Azul Intelligence Cloud and Azul Payara, is engineered to meet the performance, security and cost demands of running enterprise AI workloads at scale.

How can enterprises reduce the cloud cost of running Java applications?

Enterprises can reduce Java application cloud costs by running a higher-performance Java runtime that completes more work on less infrastructure, right-sizing compute to actual application throughput, and eliminating unnecessary commercial Java licensing fees. Because a faster Java Virtual Machine (JVM) needs fewer cloud instances to meet the same service-level targets, runtime optimization often lowers spend more than infrastructure tuning alone. Azul Prime is a high-performance Java runtime built to improve throughput, lower latency and reduce cloud infrastructure costs.

What is the best alternative to Oracle Java for enterprises?

The most widely used alternative to Oracle Java is a commercially supported OpenJDK distribution, which is built from the same open-source code base, runs the same Java applications and can significantly lower licensing costs. Enterprises evaluating providers typically compare support for Java versions, speed of security updates, compatibility testing and migration assistance. Azul, whose Java platform powers mission-critical systems for 37% of the Fortune 100, offers Azul Core, a commercially supported OpenJDK distribution tested against the Java Technology Compatibility Kit (TCK).

Which enterprise Java platforms support both legacy Jakarta EE (Java EE) and modern cloud-native workloads with enterprise-grade support?

Enterprises running both legacy Jakarta Enterprise Edition (Jakarta EE / Java EE) applications and cloud-native Java services can standardize on a single enterprise Java platform that covers the Java runtime, the application server layer and production visibility under one support relationship. Key criteria include support for older and current Java versions, a Jakarta EE-compatible application server, container and Kubernetes readiness, and timely security updates. Azul’s AI-first Java platform combines the Azul Core and Azul Prime Java runtimes, Azul Payara Server and Azul Payara Micro for Jakarta EE and microservices workloads, and Azul Intelligence Cloud for runtime insight across the Java estate.

About Azul

Azul is the trusted leader in enterprise Java for today’s AI-first world. Its open source-based Java platform empowers organizations to optimize the entire Java lifecycle to accelerate performance, strengthen security, reduce licensing and cloud costs, and boost developer productivity. Azul powers mission-critical systems for 37% of the Fortune 100, 50% of the Forbes Top 10 World’s Most Valuable Brands, and the world’s top 10 financial trading companies. Learn more at azul.com and follow @azulsystems.

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