Revenue Operations Manager

Freeosk; United States; On-site; USD 105,000 - 125,000; Full time

Benefits offered by this job

401(k) Match

Medical, Dental, Vision Insurance

Work From Home Stipend

Disability Insurance

Life Insurance

Paid Time Off

Volunteer Opportunities

Summer Hours

Parental Leave

Tuition Reimbursement

Sabbatical Program

Professional Development

Wellness Stipend

Social events

Job summary

Freeosk is seeking a Revenue Operations Manager to build and scale the operational backbone of our revenue engine, ensuring data integrity and delivering trusted insights. You will support deal desk, sales processes, and AI-enabled workflows across direct and partner-led revenue streams, including retail media, in a distributed US-based role with some travel to Chicago.

The role emphasizes automation, efficiency, and scalability across revenue systems, data governance, and cross-functional

Qualifications

• 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.

Responsibilities

• Own data governance and system integrity across Salesforce, BI tools, and partner reporting.
• Develop and manage dashboards and reporting in BI tools (Looker, Quick Suite, etc.).
• Build standardized revenue reporting across products, partners, retailers, and media programs.
• Define and maintain sales processes, SOPs, and AI enablement frameworks in Confluence.
• Drive automation to reduce process friction across Sales, Media, Finance, and partner teams.
• Lead deal desk process and cross-functional coordination for complex deals.
• Lead cross-functional RevOps projects to improve automation and integrations.

Skills

Data governance

Data integrity

Data analysis

Automation

Stakeholder management

AI enablement

Tools

Salesforce

Looker

Quick Suite

NetSuite

Jira

Confluence

Slack

Job description

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.

Core Responsibilities

• Data Governance & System Integrity
• 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
• Data Analysis & Reporting
• 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
• Sales Process & Documentation
• 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
• Deal Desk
• 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
• Revenue Operations Projects & Enablement
• 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

Outcomes

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

Required

• 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

Preferred

• 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

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.