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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.

232k – 272kWashingtonProduct ManagementRemote8+ YOE

About the role

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

KafkaFlinkClickHouseApache DruidStarrocksApache PinotStream ProcessingReal-Time AnalyticsOlapDistributed SystemsCloud-Native Infrastructure

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