Product Manager-Networking
DittoFull Time
Mid-level (3 to 4 years)
Candidates should have 4+ years of experience as a Product Manager focused on cloud technologies and experience building and supporting enterprise-grade products. A clear product roadmap and backlog backed by user stories and customer research are essential, along with excellent analytical, communication, and collaboration skills. Experience with enabling private networking features on major cloud platforms like AWS, Azure, or GCP is a plus, as is experience with Envoy, Service Mesh, DNS, and Kubernetes Networking.
The Senior Product Manager will understand users through interviews and data analysis to define personas and user journeys. They will drive the Confluent Cloud Network Roadmap, focusing on user experience and cost efficiency for services like Kafka and Flink. Responsibilities include defining flexible interfaces for API, CLI, and Terraform, managing the entire product lifecycle from conception to iteration, and defining and measuring performance against quantitative and qualitative targets.
Data streaming solutions for real-time processing
Confluent specializes in data streaming solutions, focusing on helping businesses manage and process real-time data streams. Its main product is built on Apache Kafka, an open-source platform that allows users to create real-time data pipelines and streaming applications. Clients, including large enterprises and financial institutions, utilize Confluent's tools to collect, process, and analyze data streams, which helps them make quicker and more informed decisions. Unlike many competitors, Confluent offers a subscription-based model for its cloud platform, Confluent Cloud, and its on-premises software, Confluent Platform, ensuring a steady revenue stream. The company also provides professional services like training and consulting to assist clients in optimizing their data streaming solutions. Confluent's goal is to be a leader in the data streaming market, enabling organizations to leverage real-time data for improved operational efficiency.