Staff Product Manager, Streaming Analytics
Core
Own the strategy and roadmap for Confluents streaming analytics engine, spanning storage, materialization, query serving, performance, and developer experience.
Role type
Staff Product Manager (Streaming Analytics & Real-time OLAP)
Builds
Confluents streaming analytics engine (cloud-native data system)
Domain
Data Infrastructure / Real-time Analytics / Cloud-Native Systems
Deliverable
production ML models
Required skills
Real-time analytics, database internals, streaming data platform architecture, distributed systems, storage engines, query performance, cost optimization, cross-functional leadership, executive communication
Preferred skills
Engineering background in analytical databases, stream processing, or distributed storage systems, real-time OLAP engines (ClickHouse, Apache Druid, StarRocks, Apache Pinot), Kafka, Flink, AI/ML workloads (retrieval, feature serving), cloud-native infrastructure, consumption-based pricing models, open-source data infrastructure
Technologies
ClickHouse, Apache Druid, StarRocks, Apache Pinot, Kafka, Flink, Confluent Cloud, AI Agents
Responsibilities
Develop competitive strategy against established real-time analytical databases, Drive architectural and product decisions involving consistency, latency, query performance, cost, and developer ergonomics, Partner closely with engineering to address technical challenges of building a cloud-native data system at scale, Collaborate with peer product managers responsible for downstream AI, context delivery, and application integration experiences, Work with customers and design partners to validate real-time analytics, operational application, and AI use cases, Establish success metrics, cost models, and pricing strategy for the new product area
Seniority
Staff, strategic leadership & hands-on product ownership
