Note: The job is a remote job and is open to candidates in USA. Confluent is a company that is redefining how data moves and what can be done with it. They are seeking a Staff Product Manager to own the vision, strategy, and roadmap for their core streaming analytics engine, which serves real-time analytics and operational applications. This role involves significant collaboration with engineering and product teams to create a cloud-native architecture that enhances the developer experience.
Responsibilities
- 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
Skills
- 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
- 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
Benefits
- Offers Equity
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