Staff Product Manager, Real Time Data Analytics Platform
Owns vision, strategy, and roadmap for Confluent's streaming analytics engine, handling storage, materialization, query serving, and performance. Requires 8+ years in product management with deep expertise in real-time analytics, databases, and streaming platforms.
About the job
What You Will Do
- Own the product strategy for Confluent's streaming analytics engine: storage, materialization, query serving, performance, and developer experience.
- Develop competitive strategy against established real-time analytical databases, articulating Confluent's differentiated value as a streaming-native alternative.
- Drive key architectural and product tradeoffs across consistency, latency, query performance, cost, and developer ergonomics.
- Partner deeply with engineering to navigate the technical complexity of building a new cloud-native data system at scale.
- Collaborate with peer product managers who own downstream experiences including AI, context delivery, and application integration, to ensure the engine meets the needs of the products built on it.
- Work with customers and design partners to validate use cases across real-time analytics, operational applications, and AI, shaping the developer experience and refining go-to-market positioning.
- Collaborate with Confluent's broader product and platform teams to ensure tight integration with Kafka, Flink, and Confluent Cloud.
- Define success metrics, cost models, and pricing strategy for a new product area.
- Influence Confluent's company-wide platform strategy through executive-level communication and cross-functional leadership.
What You Will Bring
- Bachelor's degree or equivalent practical experience.
- 8+ years of experience in product management or related technical roles.
- 5+ years of experience taking technical infrastructure or data products from conception to launch.
- Deep familiarity with real-time analytics, database internals, or streaming data platform architecture, either through product management or hands-on engineering.
- Experience defining and launching products in the data infrastructure, analytics database, or stream processing space.
- Strong technical judgment, comfortable navigating tradeoffs in distributed systems, storage engines, query performance, and cost optimization.
- Track record of leading cross-functional initiatives with executive-level visibility and communicating technical strategy to senior leadership.
What Gives You an Edge
- Engineering background in analytical databases, stream processing, or distributed storage systems.
- Experience with real-time OLAP engines (e.g., ClickHouse, Apache Druid, StarRocks, Apache Pinot) as a builder, product manager, or power user.
- Familiarity with Kafka, Flink, or similar streaming infrastructure.
- Experience building products that serve AI/ML workloads for retrieval, feature serving, or context delivery.
- Prior experience with cloud-native infrastructure products and consumption-based pricing models.
- Experience working on open source data infrastructure projects.
Skills
Kafka, Flink, ClickHouse, Apache Druid, Starrocks, Apache Pinot, Stream Processing, Real-Time Analytics, Olap, Distributed Systems, Cloud-Native Infrastructure
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