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Job
· Principal
Staff Product Manager, Real Time Data Analytics Platform
Product Manager
• Principal
• Remote
• Full-time
•
USA
Confluent is looking for a Staff Product Manager to own the vision, strategy, and roadmap for the core streaming analytics engine underlying its real-time data platform, continuously materializing streaming data into fast, queryable state.
Responsibilities
- ▹Own the product strategy for the streaming analytics engine: storage, materialization, query serving, performance, and developer experience
- ▹Develop competitive strategy against established real-time analytical databases, articulating Confluent's differentiated streaming-native value
- ▹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
- ▹Work with customers and design partners to validate use cases across real-time analytics, operational applications, and AI
- ▹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
Requirements
- ▹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
- ▹Experience defining and launching products in the data infrastructure, analytics database, or stream processing space
- ▹Strong technical judgment navigating tradeoffs in distributed systems, storage engines, query performance, and cost optimization
- ▹Track record of leading cross-functional initiatives with executive-level visibility
Nice to have
- ▹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
Soft skills
Executive-level communication and strategic influenceCollaboration with engineering on complex technical questionsCustomer-centric mindset in product design
About the company
Confluent is a data streaming platform company (founded by the creators of Kafka), an IBM subsidiary, that puts data in motion for enterprises in near real time.
Languages: Angol: Felsőfok
Education: Alapdiploma (BSc) vagy azzal egyenértékű gyakorlati tapasztalat
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