Director, Revenue Operations
LeafLinkFull Time
Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
The salary range is $230.4K - $276.5K.
Yes, this is a remote position.
The ideal candidate is an experienced CPA with at least 10 years of progressively responsible experience at either a Big 4 public accounting firm or a publicly traded, high-tech organization, including a minimum of 3 years in a technical revenue role, and experience from a global, growing software company with on-premise software revenue and SaaS.
Confluent fosters a collaborative environment with no egos or solo acts, emphasizing smart, curious team members who ask hard questions, give honest feedback, show up for each other, and push toward something bigger together.
A strong candidate is an experienced CPA with 10+ years in Big 4 or high-tech public companies, including 3+ years in technical revenue, expertise in ASC 606, and experience with complex revenue arrangements in global software companies involving SaaS and on-premise revenue.
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.