Senior Product Leader, Apache Flink Platform & Cloud

Confluent Inc; Northern (KY); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Confluent Inc is seeking a Principal Product Manager to own the strategy and execution for Apache Flink across Confluent Cloud and Platform. This high-leverage IC role requires a seasoned leader who can translate complex streaming systems into clear product plans and drive cross-functional alignment.

You will shape multi-year roadmaps, partner with engineering, GTM, and executives, and identify 0-to-1 opportunities in AI and data architecture.

Qualifications

• Proven ability to own and deliver product strategy for complex cloud data products for customers ranging from data engineers to software developers.
• Deep technical expertise in distributed systems, data engineering, and cloud.
• Domain expertise in streaming technologies such as Kafka, Flink, or Spark is a plus but not required.
• Experience leading product development across the entire lifecycle, scaling businesses from early product-market fit to substantial revenue.

Responsibilities

• Define and drive the multi-year product strategy and roadmap for Apache Flink across cloud and on-prem products.
• Establish structured processes to align product, engineering, GTM, and executive stakeholders.
• Identify high-leverage, 0-to-1 product opportunities for Flink and in adjacent areas like AI, data engineering, data warehousing, and event-driven applications.
• Define how Confluent Flink offerings will work across Confluent and IBM product portfolio.

Skills

Distributed systems

Data engineering

Cloud

Kafka

Flink

Spark

Product leadership

Job description

Confluent Inc is seeking a Principal Product Manager to own the strategy and execution for Apache Flink across Confluent Cloud and Platform. This high-leverage IC role requires a seasoned leader who can translate complex streaming systems into clear product plans and drive cross-functional alignment.

You will shape multi-year roadmaps, partner with engineering, GTM, and executives, and identify 0-to-1 opportunities in AI and data architecture.