Revenue Operations Lead
AnzenFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Candidates should have over 3 years of experience in SaaS revenue operations, sales operations, or a related field. Strong technical skills are required, including experience implementing and administering CRM systems like Salesforce, as well as familiarity with sales engagement and revenue intelligence platforms. Demonstrated success in process optimization and automation development, strong analytical skills for data interpretation, and experience creating dashboards and reports are essential. An understanding of PLG business models and their integration with enterprise sales is necessary, along with excellent project management, cross-functional collaboration, and a process-oriented mindset with attention to detail.
The Revenue Operations Manager will design and implement a unified lead lifecycle framework in the CRM, establish data governance standards, and build automation workflows to streamline tasks. They will create dashboards and reports for sales performance visibility, partner with Product, Marketing, and Sales teams to optimize processes, and implement/manage the sales technology stack. Responsibilities also include conducting data quality audits, providing training on systems and processes, and collaborating with Finance on forecasting and revenue recognition.
Connects financial accounts to apps securely
Plaid simplifies financial data management for individuals and businesses by connecting various financial accounts to apps and services. Its main product is a set of APIs that allow developers to integrate financial data into their applications, enabling users to track spending, initiate payments, and access financial services all in one place. Plaid serves a wide range of clients, including app developers and financial institutions, and is used by popular apps like LendingTree and Square. Unlike many competitors, Plaid focuses on providing a comprehensive and scalable platform that supports various financial use cases, such as transactions and identity verification. The company's goal is to enhance the way users interact with their financial data, making it easier and more secure.