Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 6
API @ 6
Data Engineering @ 6
Distributed Systems @ 6
Flink @ 6
Java @ 6
Kafka @ 6
Machine Learning
Product Management @ 8
Python @ 6
React @ 6
SQL @ 6
Scala @ 6
Spark @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Confluent is building a data streaming platform that moves information in near real time, helping companies react faster, build smarter, and deliver dynamic experiences. The Principal Product Manager will be a high-leverage individual contributor responsible for the complete product strategy and execution for Apache Flink across Confluent Cloud and Platform. This is an ambiguous and technical domain requiring a seasoned leader who can build durable platform capabilities, translate complex systems into clear strategy, and operate independently.
Responsibilities
- Define and drive the multi-year product strategy and roadmap for Apache Flink across cloud and on-premises products.
- Establish structured processes to align product, engineering, go-to-market, and executive stakeholders.
- Identify high-leverage, 0-to-1 product opportunities for Flink and adjacent areas, including AI, data engineering, data warehousing, and event-driven applications.
- Define how Confluent Flink offerings will work across the Confluent and IBM product portfolios.
Requirements
- Proven ability to own and deliver product strategy for complex cloud data products serving customers ranging from data engineers to software developers.
- Deep technical expertise in distributed systems, data engineering, and cloud technologies.
- 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.
- 10+ years of experience in product management for a technical software or cloud service product.
Preferred Qualifications
- Hands-on engineering or technical background, including comfort with systems design, API design, and several programming languages such as Python, Java, Scala, and SQL.
- Experience with open-source software, including determining commercialization strategy while building the community.
- A track record in data infrastructure, analytics, AI/ML platforms, real-time systems, or streaming systems, especially products serving customers with diverse levels of technical expertise.
Company Information
Confluent is an equal opportunity workplace. Employment decisions are based on job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.
Confluent is an IBM subsidiary that has been acquired by IBM and will be integrated into the IBM organization. As part of the application process, Confluent may share personal information with IBM affiliates involved in recruitment.
Compensation
The salary range is $273,300–$328,000 USD per year. The role also offers equity and bonus opportunities. Actual pay may vary based on skills, qualifications, experience, and work location.