Staff Product Manager, Real Time Data Analytics Platform
Core
Own the vision, strategy, and roadmap for Confluent's core streaming analytics engine that materializes streaming data into fast, queryable state for real-time analytics and AI agents.
Role type
Staff Product Manager (Real-Time Data Platform)
Builds
A cloud-native streaming-first architecture combining stream processing, real-time OLAP, and materialized views to power AI agents, dashboards, and event-driven applications.
Domain
Data Infrastructure / Real-Time Analytics / Stream Processing
Deliverable
production ML models | product features
Required skills
Product strategy, competitive strategy, architectural tradeoffs, cross-functional leadership, success metrics definition, pricing strategy, executive communication
Preferred skills
Engineering background in analytical databases, real-time OLAP engines (ClickHouse, Druid, StarRocks, Pinot), Kafka/Flink expertise, AI/ML workload products, cloud-native consumption pricing, open source data infrastructure
Technologies
Kafka, Flink, Confluent Cloud, ClickHouse, Apache Druid, StarRocks, Apache Pinot
Responsibilities
Define product strategy for the streaming analytics engine, develop competitive strategy against real-time analytical databases, drive architectural tradeoffs, partner with engineering on cloud-native system complexity, collaborate with peer PMs on downstream AI and integration products, validate use cases with customers, define success metrics and pricing, influence company-wide platform strategy
Seniority
Staff, strategic ownership with executive-level communication
