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 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.

Core Responsibilities

1) Data Governance & System Integrity

Own accuracy and integrity of thesingle 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 maintaindata dictionaries, field definitions, and metric logic

2) Data Analysis & Reporting

Develop and managedashboards and reporting in BI tools (Quick Suite, Looker, etc.)
Build and maintainstandardized revenue reporting across products, partners, retailers, and media programs to deliver clear, actionable insights on pipeline, bookings, and performance on a regular cadence

3) Sales Process & Documentation

Define and maintainsales processes, SOPs, definitions and exception handling frameworksin Confluence to support org-wide clarity and AI enablement (e.g. Rovo and Copilot)
Analyze sales process workflows and drive automation to identifyrisks, gaps, and opportunities to reduce process friction across Sales, Media, Finance, and partner teams

4) Deal Desk

Serve as the primaryescalation point for deal structuring and process exceptions
Improvedeal cycle time, accuracy, and cross-functional coordination by partnering closely with Product, Tech, Sales, Finance, and Media teams on complex deals and revenue structures

5) Revenue Operations Projects & Enablement

Lead cross-functionalprocess improvement and automation initiatives aligned to growth priorities that support scaling
Identify, build and applyAI-enabled tools (Copilot, Rovo, etc.) to reduce manual work and data entry while maintaining accuracy

Outcomes

Establish and maintain a trusted single source of truth across Salesforce, data marts, and BI reporting with consistent, explainable metrics
Successfully supportkey partner integrations (e.g., Sam’s Club Connect, etc.) with accurate reporting and minimal manual reconciliation
Deliverstandardized reporting and insights that are consistently used by internal and external partner teams via scalable systems and dashboards
Implement aclear data governance framework (definitions, QA processes, ownership) adopted across GTM teams
Identify and resolvedata quality and visibility issues that impact revenue, campaign management, partner trust, or revenue reporting
Run ahigh-functioning deal desk process that improves contract accuracy, post-contracting change management, and meets cross-functional and partner needs
Leadhigh-impact RevOps projects that improve automation, system integrations, and operational efficiency

Experience

Required

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

Preferred

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

Core Tools

CRM: Salesforce
BI: Quick Suite, Looker
Analysis: Excel, Google Sheets
ERP: NetSuite
PM & Documentation: Jira, Confluence, Slack
AI: Copilot, Rovo, and workflow other automation tools

Reporting Structure

Reports to: Director, Revenue Operations
Peers: Media Planning, Salesforce Administration

Our Benefits

Competitive pay
401(k) Match Program
Medical, Dental, Vision Insurance
Work From Home Stipend
Short-Term and Long-Term Disability
Life Insurance
Paid Time Off
Volunteer Opportunities
Summer Hours
Parental Leave
Tuition Reimbursement
Sabbatical Program
Professional Development
Wellness Stipend
Social events

Who Are We?

Freeosk Experiential Retail Media® is a marketing technology platform helping brands and retailers influence shopper behavior through immersive, in-store discovery. By combining physical product trial, digital media, and identity-based measurement, Freeosk transforms everyday product moments into opt-in, high-impact engagements that convert curiosity into purchase and engagement into measurable business outcomes.

With more than a decade of in-store experience and millions of one-to-one shopper interactions, Freeosk is leading discovery at scale across top retail environments. From Fortune 100 brands to emerging innovators, we partner with marketers and retail media networks to drive incremental sales through identifiable, closed-loop experiences that bridge physical and digital.

Headquartered in Chicago, Freeosk employees can be found all across the country thanks to our flex-work structure. This has allowed us to create an authentic, cross-disciplinary team of engineers, creatives, strategists, data scientists, and retail experts. As retail media evolves, Freeosk is redefining what in-store engagement can be when physical interactions fuel digital intelligence.

Freeosk is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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