Revenue Operations Manager
- Role
- Operations
- Employment
- Full-time
Open to US only. Set where you work from to check your eligibility.
No BS summary
Revenue Operations Manager needed to build and scale the operational backbone of Freeosk’s revenue engine. Requires an innovation mindset to solve data and process problems with high accuracy and automation, ensuring data integrity, delivering insights, and supporting sales processes. Will build custom AI-enabled solutions for data usability, driving efficiency, accuracy, automation, and scalability across revenue systems.
Hello, Revenue Operations Manager! Freeosk is looking for a Revenue Operations Manager to meet our immediate growth needs. The ideal candidate will bring an innovation mindset to solve data and process problems with high accuracy and automation. This person will build and scale the operational backbone of Freeosk’s revenue engine by ensuring high data integrity, delivering clear and trusted insights, and supporting effective deal desk and sales process execution. This role will build custom AI-enabled solutions to support data usability for direct and partner-led revenue streams (focused on retail media), while driving efficiency, accuracy, automation, and scalability across revenue systems and processes. We work in a distributed environment. Our office is in Chicago, but you can be located within the continental United States. There will be travel required to our Chicago office from time to time. The anticipated base salary range for this role is $105,000 to $125,000. Actual compensation will be determined based on skills and experience.
What you'll do
- Build and scale the operational backbone of Freeosk’s revenue engine by ensuring high data integrity, delivering clear and trusted insights, and supporting effective deal desk and sales process execution.
- Build custom AI-enabled solutions to support data usability for direct and partner-led revenue streams (focused on retail media), while driving efficiency, accuracy, automation, and scalability across revenue systems and processes.
What they require
- Bring an innovation mindset to solve data and process problems with high accuracy and automation.