azul - Principal Product Manager, Java Intelligence

• 8+ years in product management, including several years owning a product or product line end to end — strategy through launch through revenue. • Track record shipping enterprise SaaS in an adjacent market: application performance monitoring, application security, observability, optimization, systems management, or log analytics. • Fluency with AI tools and experience operating in an AI-first product management organization — you use them in your daily product work and have a view on where they help and where they don't. • Deep technical fluency generally — you can read an architecture diagram, follow an engineering debate, and ask the question that changes the answer. • Demonstrated ownership of pricing and packaging for a technical product, including the messy cross-functional work of getting a model approved and into market. • Understanding of DevOps engineers, platform engineers, and developers as the key influencers in an enterprise sales cycle. • Strong domain knowledge of public cloud (AWS, Azure, GCP) and Kubernetes. • Excellent written and verbal communication in English — equally effective with an engineer and with a Fortune 100 CIO. • Comfortable in a fully remote, async, multi-time-zone setup: self-directed, and a strong writer because writing is how decisions get made here. • Comfortable in a startup-shaped environment where bringing order to chaos is part of the job. • Hands-on software or quality engineering background — you have written code and debugged production systems. • Experience with open source communities. • Familiarity with cloud cost optimization: how compute is provisioned, monitored, and optimized. • Experience taking a new product from early traction to a durable revenue line. • Working knowledge of Java and Java development tooling. • Familiarity with Jakarta EE application servers (Payara, WebLogic, WebSphere, JBoss) and OpenTelemetry. • Experience working across more than one product at once, especially products at different stages or sold through different motions. • Experience with infrastructure software that customers deploy and operate themselves, not just SaaS. • Azul is fully remote. We hire for judgment, curiosity, and low ego — and we expect the same from ourselves.