Revenue Operations Manager

Freeosk

1d•$105,000 - $125,000•Remote

About The Position

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 enables confident decision-making across direct and partner-led revenue streams (focused on retail media), while driving efficiency, accuracy, 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.

Requirements

4-8+ years in Revenue Operations, Sales Operations, Business Analytics, or similar
3+ years working in Salesforce (reporting, data management; CPQ preferred)
Proven ability to work with complex, multi-source datasets
Strong experience with data validation, reconciliation, and QA processes
Experience owning projects end-to-end and driving adoption
Excellent communication and stakeholder management skills
Very high attention to detail

Nice To Haves

Experience in media sales, advertising, or retail advertising environments
Exposure to retail media networks (RMNs) or partner-led GTM models in the online media or digital out-of-home (DOOH) space
Familiarity with automation and AI-enabled workflows

Responsibilities

Own accuracy and integrity of the single source of truth of sold work across Salesforce, BI tools, and partner reporting by implementing data quality processes (audits, validations, reconciliations, exception tracking)
Define and maintain data dictionaries, field definitions, and metric logic
Develop and manage dashboards and reporting in BI tools (Quick Suite, Looker, etc.)
Build and maintain standardized revenue reporting across products, partners, retailers, and media programs to deliver clear, actionable insights on pipeline, bookings, and performance on a regular cadence
Define and maintain sales processes, SOPs, definitions and exception handling frameworks in Confluence to support org-wide clarity and AI enablement (e.g. Rovo and Copilot)
Analyze sales process workflows and drive automation to identify risks, gaps, and opportunities to reduce process friction across Sales, Media, Finance, and partner teams
Serve as the primary escalation point for deal structuring and process exceptions
Improve deal cycle time, accuracy, and cross-functional coordination by partnering closely with Product, Tech, Sales, Finance, and Media teams on complex deals and revenue structures
Lead cross-functional process improvement and automation initiatives aligned to growth priorities that support scaling
Identify, build and apply AI-enabled tools (Copilot, Rovo, etc.) to reduce manual work and data entry while maintaining accuracy