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Confluent

Set data in motion.

Staff Product Manager, Real Time Data Analytics Platform

Data AnalystData AnalystFull TimeRemoteLeadTeam 1,001-5,000Since 2014H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

83 days ago

Salary

$231.5K - $272K / year

Seniority

Lead

Bachelor Degree8 yrs expEnglishCloudDistributed SystemsKafka

Job Description

Staff Product Manager, Real Time Data Analytics Platform

Confluent

• 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.

Job 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, 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.

Benefits

  • Offers Equity

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