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Revenue Systems Jobs (NOW HIRING)

Revenue Systems Governance * Serve as the strategic steward of Fuel Cycle's revenue technology stack-including Salesforce, Pardot/Account Engagement, DealHub, Gong, Zapier, and Seamless. Key ...

Manage distribution channels and revenue systems. Prepare reports for and assist in preparation of weekly Revenue Management Strategy Meetings. Reports to Revenue Manager. Searching for qualified ...

$180K - $225K/yr

Own the architecture and evolution of our revenue systems stack, including Salesforce Sales Cloud, a modern CPQ solution, and billing integrations * Lead complex configuration and development across ...

Senior Revenue Engineer

American Fork, UT · On-site

$49.50 - $63.75/hr

ABOUT THIS ROLE Revenue systems sit at the center of how LVT operates-and this role sits at the center of those systems. As our Senior Revenue Systems Engineer, you will have true ownership and a ...

Our GTM and revenue systems were built to help us move fast and get to where we are today. Now, we're ready for the next chapter. We're looking for a Director of Revenue Operations who enjoys rolling ...

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Revenue Systems information

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$35K

$96.5K

$167K

How much do revenue systems jobs pay per year?

As of Jul 6, 2026, the average yearly pay for revenue systems in the United States is $96,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $107,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Revenue Systems, and why are they important?

To excel in Revenue Systems, you need a strong background in finance, data analysis, and revenue cycle management, often supported by a degree in accounting, finance, or a related field. Familiarity with ERP systems like SAP or Oracle, revenue management software, and data visualization tools is typically required. Analytical thinking, attention to detail, and effective communication are essential soft skills for interpreting financial data and collaborating with cross-functional teams. These competencies ensure accurate revenue reporting, compliance, and profitability, which are critical for organizational success.

What's the career path in revenue?

A career in revenue typically starts with roles such as Revenue Analyst or Sales Operations, focusing on data analysis, forecasting, and process optimization. Progression can lead to senior positions like Revenue Manager, Director, or VP of Revenue, often requiring experience with CRM tools, financial modeling, and strategic planning.

How does a Revenue Systems professional typically collaborate with finance and sales teams to optimize revenue processes?

Revenue Systems professionals play a central role in bridging finance and sales departments by ensuring data accuracy, streamlining revenue recognition, and automating billing processes. They regularly work with sales teams to align CRM data with invoicing systems and coordinate with finance to ensure compliance with accounting standards. Effective collaboration often involves leading cross-functional meetings, troubleshooting discrepancies, and implementing system upgrades that benefit both teams. This collaborative approach not only improves efficiency but also mitigates revenue leakage and supports strategic business growth.

What kind of jobs in media bring in $150,000 a year?

In media, high-paying roles such as media executives, senior advertising directors, and content strategists can earn $150,000 or more annually. These positions typically require extensive experience, strong leadership skills, and proficiency with industry tools like analytics platforms and content management systems.

Is RI a good job?

Revenue Systems roles typically involve managing financial data, optimizing revenue processes, and using tools like ERP or CRM systems. The job can offer stable employment and opportunities for advancement, especially in organizations with complex revenue streams. Success often depends on skills in data analysis, attention to detail, and understanding of financial systems.

Is it hard to become a revenue officer?

Becoming a revenue officer typically requires a bachelor's degree in finance, accounting, or a related field, along with relevant experience in finance or collections. Strong analytical skills, attention to detail, and knowledge of financial systems or software are also important. The difficulty varies depending on individual qualifications and the specific employer's requirements.

What is the difference between Revenue Systems vs Revenue Analysts?

AspectRevenue SystemsRevenue Analysts
Primary RoleManage and optimize revenue management systems and toolsAnalyze revenue data to forecast and improve revenue performance
Required SkillsSystem administration, data management, technical proficiencyData analysis, financial modeling, reporting skills
Work EnvironmentIT departments, revenue management teamsFinance, sales, and marketing departments
CertificationsRevenue management software certifications, data management certificationsFinance certifications, Excel, and data analysis certifications

Revenue Systems professionals focus on managing revenue management platforms and ensuring system efficiency, while Revenue Analysts analyze revenue data to inform business decisions. Both roles are essential in revenue optimization but differ in technical focus and daily tasks.

What are Revenue Systems?

Revenue systems refer to the processes, tools, and software platforms that organizations use to manage, track, and optimize their income streams. These systems often include billing, invoicing, payment processing, and revenue recognition components to ensure accurate financial reporting and compliance. Revenue systems are crucial for maintaining financial health, supporting business growth, and providing insights into sales performance and customer behavior.
More about Revenue Systems jobs
Infographic showing various Revenue Systems job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 6% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $96,532 per year, or $46.4 per hour.

AI Revenue Automation & Intelligence Lead

Modern Campus

Remote

Full-time

Posted 25 days ago


Job description

About Modern Campus
Modern Campus empowers institutions to move with confidence across the modern learner journey. Our platform spans web content management, curriculum and catalog management, student engagement and lifelong learning - giving more than 1,700 colleges and universities the infrastructure they need to support the entire learner-to-earner lifecycle and deliver personalized, scalable experiences.
We partner with the education community to create new pathways for learning and opportunity, reimagining how institutions serve the modern learner and shape the future of education.
Our purpose - our north star - is to empower institutions to confidently serve and support the modern learner.
This mission and purpose come to life through how we show up every day:
  • We exist to create empowerment through education.
  • We lead with honesty and empathy.
  • We shape the future through innovation.
  • We become trusted partners.
  • We make the complex feel possible.

What's the role?
Modern Campus is seeking an AI Revenue Automation & Intelligence Lead to help Revenue Operations mature from manual workflows and retrospective reporting toward a more proactive, signal-driven, AI-enabled revenue engine.
Reporting to the Senior Director, Revenue Operations, this role will combine revenue operations & systems expertise, business analysis, workflow automation, and AI-enabled expertise to improve how Modern Campus understands business health, identifies revenue opportunities, engages prospects and customers, enables Sales through AI-assisted workflows and agents, and supports Sales and Marketing execution.
The ideal candidate is a RevOps systems thinker and builder who can move fluidly between analysis and execution. They can inspect funnel data, identify operational gaps, design better workflows, build or configure automation within approved revenue systems, think about user enablement, and help shape the path toward more intelligent, AI-assisted and eventually agentic revenue operations.
This is a bridge role: part operational intelligence partner, part RevOps automation builder, part AI workflow prototyper, and part revenue systems strategist.
What You'll Own & Deliver
AI & Automation Analyses & Design
  • Analyze funnel performance, conversion trends, pipeline movement, campaign effectiveness, and lead flow.
  • Use data & reports from various tools such as CRM & Marketing Automation Platform, spreadsheets, BI tools, and structured analysis to identify gaps, inefficiencies, risks, and optimization opportunities.
  • Support forecasting, pipeline initiatives, attribution, pipeline inspection, revenue reporting, risk, retention, expansion, and business health initiatives through strong operational and systems-based thinking.
  • Define how these signals should translate into action.
  • Partner with Sales, Marketing, Customer Success, and RevOps stakeholders to determine which workflows should remain human-led, which should be AI-assisted, and which are appropriate for automation. Partner closely with Sales Enablement to ensure AI is incorporated into training Sales.
  • Translate reporting and analytical findings into workflow improvements, automation opportunities, and data requirements.

Workflow Automation & AI
  • Automate repeatable revenue operations tasks such as lead routing, enrichment, follow-up prompts, campaign triggers, pipeline hygiene, task creation, operational alerts, and data quality checks.
  • Build internal copilots, agents, workflow assistants, and AI-assisted tools that help Sales and Marketing teams act more quickly, consistently, and effectively by listening for signals, recommend actions, trigger workflows, support engagement, and assisting with pipeline movement.
  • Test, build, and scale the business logic, signal models, operating rules, & success criteria for AI-enabled revenue workflows that help summarize account activity, identify next-best actions, prioritize leads or opportunities, surface pipeline risks, and improve follow-up consistency.
  • Establish feedback loops to improve workflow logic, agent behavior, recommendation quality, and business impact over time.
  • Partner with Technology on LLM usage, agent patterns, integration approaches, data boundaries, monitoring, and production deployment where workflows require cross-system or enterprise-grade implementation.

Data, AI & Integration Partnership
  • Work with Technology, Data, Security, Sales, Marketing, and RevOps stakeholders to align automation efforts with company standards for data access, privacy, security, auditability, and system reliability.
  • Use existing data infrastructure where available and identify data gaps that limit revenue visibility, automation, or AI-driven decisioning.
  • Partner with technical teams on APIs, integrations, orchestration patterns, monitoring, and scalable deployment where workflows cross system boundaries.

Performance, Optimization & Measurement
  • Continuously test, iterate, and improve workflow logic, messaging, routing, prioritization, automation rules, and AI-assisted recommendations.
  • Build practical reporting that shows whether automation and AI-assisted workflows are improving revenue operations performance.
  • Use findings from pilots and production workflows to refine future automation priorities and inform the broader revenue automation roadmap.

What you offer...
  • 5+ years of experience in Revenue Operations, Marketing Operations, Sales Operations, or a similar systems-oriented builder role.
  • Strong understanding of data governance, RevOps & Marketing data structures, lifecycle architecture, funnel management, attribution models, data hygiene, and reporting frameworks.
  • Hands-on experience building automations, workflows, operational processes, or AI-assisted tools within business systems.
  • Experience analyzing funnel performance, pipeline movement, campaign effectiveness, conversion trends, or similar revenue performance indicators.
  • Strong analytical skills with the ability to work in Excel, Google Sheets, CRM reporting, BI tools, or similar environments to validate assumptions and uncover operational opportunities.
  • Experience working with CRM systems, preferably Salesforce, Rev Intell tools like Gong, and marketing automation platforms, preferably HubSpot.
  • Familiarity with LLMs, AI-assisted workflows, APIs, automation tools, or orchestration platforms such as Zapier, Workato, custom scripts, or agent frameworks.
  • Ability to translate business problems into structured workflows, automation requirements, reporting needs, and measurable outcomes.
  • Ability to partner effectively with Technology, Data, Security, Sales, Marketing, and Customer Success teams.
  • Bias toward action and experimentation, with the judgment to distinguish between analysis, prototypes, controlled pilots, and production-grade workflows.
  • Comfort operating in a maturing environment where reporting, data quality, workflow discipline, and AI-enabled automation may need to evolve together.

What we offer...
  • The base salary range* for this position is between $120,000-$140,000
  • Remote first workplace!
  • Rewards and recognition programs
  • Learning and development opportunities
  • The ability to make a difference every day for universities trying to grow and students trying to learn!

Only qualified candidates selected for interviews will be contacted.
What we believe...
At Modern Campus, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply for our positions. Modern Campus is proud to be an equal opportunity workplace and is committed to bring on hires regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status (for US candidates). If you require accommodations during any part of the interview process due to a disability, please let our recruiter know.
* Our salary ranges reflect the minimum and maximum target for new hires for the position within the US and Canada. Within the range, individual pay is determined by factors including job-related skills, experience, and relevant education or training.