Confluent

Confluent

Staff Product Manager, Real Time Data Analytics Platform

Remote, United States · Staff+

Sponsorship not specifiedDetected 169 days ago
ReactDistributed SystemsKafkaMachine LearningData AnalysisAgentic AIProduct ManagementProduct StrategyLeadershipCommunication

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card follow-through: 93%

Of 27 labor certifications old enough to have been used, 2 expired without the employer filing the next step. Median time from filing to decision: 490 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

7 transfer filings in the last year, covering 7 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Today, enterprises stitch together separate systems for streaming, analytics, and serving.
  • The next evolution of Confluent's platform collapses that complexity by continuously materializing streaming data into fast, queryable state that serves real-time analytics, operational applications, and downstream intelligent systems from a single foundation.
  • This is a foundational, high-leverage role.

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.
  • Collaborate with Confluent's broader product and platform teams to ensure tight integration with Kafka, Flink, and Confluent Cloud.

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.
  • Experience with real-time OLAP engines (e.g., ClickHouse, Apache Druid, StarRocks, Apache Pinot) as a builder, product manager, or power user.
  • Prior experience with cloud-native infrastructure products and consumption-based pricing models.

Company info

  • 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.
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This listing is sourced directly from Confluent's careers page and normalized into a canonical job model.