product
Posted Apr 30Staff Product Manager, Real Time Data Analytics Platform
at Confluent
United StatesRemote
Responsibilities
- - 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.
- - 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.
Requirements
- This system sits at the intersection of stream processing, real-time analytical databases, and modern serving infrastructure, continuously transforming data in motion into low-latency, queryable materialized views that power AI agents, dashboards, operational queries, and event-driven applications.
- You'll define a new product category that brings together concepts from streaming analytics, real-time OLAP, materialized views, and modern database systems into a cloud-native, streaming-first architecture.
- - 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 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 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. -
Benefits
- As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the core streaming analytics engine underlying Confluent's real-time data platform.
Additional details
- We’re rewriting how data moves and what the world can do with it.
- Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.
- It takes a certain kind of person to join this team.
- Those who ask hard questions, give honest feedback, and show up for each other.
- Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team.
- ABOUT THE ROLE: Today, enterprises stitch together separate systems for streaming, analytics, and serving.
- Each of these systems come with its own latency, cost, and operational overhead.
- You'll own the engine: the storage, materialization, query layer, and performance, while partnering with peer product managers who own the downstream product experiences built on top of it.
- You'll partner directly with engineering, design, and senior leadership to bring this to market and position Confluent as a compelling alternative to standalone real-time analytical databases.
- WHAT YOU WILL DO: - Own the product strategy for Confluent's streaming analytics engine: storage, materialization, query serving, performance, and developer experience.