Principal Product Manager

Own the product vision, strategy, roadmap, and success measures for Eventstream's Kafka endpoint area, connecting short-term delivery plans with the long-term growth of Fabric Real-Time Intelligence. Lead the area from customer discovery through general availability and growth, making investment and prioritization decisions across platform capabilities, user experience, reliability, scale, and interoperability. Partner with Engineering, Design, Data Science, Security, and other teams to deliver a compelling Kafka-compatible solution. Develop a competitive strategy using customer insights, product telemetry, and market analysis to guide product decisions. Build relationships with customers and partners, translate streaming requirements into product direction, and use previews and design partnerships to validate solutions before broad release. Drive adoption and business outcomes through product positioning, field readiness, technical storytelling, and go-to-market planning, while defining AI-assisted experiences that make real-time data easier to connect, manage, and use. Embody our culture and values. Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience. These requirements include, but are not limited to, the following specialized security screenings: * 8+ years of experience taking a product, service, or experience from strategy through launch and growth. Demonstrated experience owning a broad product area, including strategy, roadmap, delivery, competitive positioning, customer engagement, and business outcomes. Knowledge of Apache Kafka, Kafka-compatible protocols, Azure Event Hubs, messaging systems, or similar event-streaming technologies. Demonstrated technical depth in distributed systems, messaging, real-time ingestion, or stream processing, including the ability to navigate reliability, scale, latency, and interoperability tradeoffs with engineering teams. Experience using product telemetry, customer research, and market analysis to improve adoption, engagement, retention, or other product outcomes. Experience defining user experiences for technical products, including AI-assisted or low-code experiences. Communication and technical storytelling skills, with experience influencing senior stakeholders and aligning teams across organizational boundaries.