AI Revenue Automation & Intelligence Lead, Modern Campus
$120-140k
Higher education management software
Be an early applicant
Higher education management software
201-500 employees
Be an early applicant
$120-140k
201-500 employees
Company mission
To unlock the value of lifelong learning for students and the institutions that serve them.
Role
Who you are
- 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 the job involves
- 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
- 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
- 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
- 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
- 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
Application process
- Only qualified candidates selected for interviews will be contacted
Our take
Modern Campus offers a whole suite of engagement-oriented SaaS products for higher education institutions, including enrollment, communication, curriculum management, and career pathways planning.
The company’s roots go back to 1982 and the early days of web development and SaaS, but a 2019 merger between higher education CMS OmniUpdate, and Student Lifecycle Management (SLM) company Destiny Solutions, led to a 2021 rebrand as Modern Campus.
Now over 2,000 North American institutions are customers of the company, including St. Louis University and Utah Valley University. This gives an indication of Modern Campus’ relevance and strength of position in the market.
There are no signs of slowing down as Modern Campus looks to tap into increasing demand for the modernization of campus life. Since rebranding, the company has been making key acquisitions in the higher education sector to expand its own service range, including campus engagement platform Presence and conversational text messaging platform Signal Vine. Growth funding awarded in 2025 will be used to develop its product and continue its acquisition spree.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-1% employee growth in 12 months
Company
Company benefits
- Private stock options
- Medical and dental insurance
- Collaborative work environment
Company HQ
Camarillo, CA
Leadership
Peter Devries
(CEO)Served in a variety of Executive Leadership roles with Modern Campus, including President and COO since 2018. They earned a Bachelor of Mathematics degree from the University of Waterloo, with joint honors in Computer Science and Economics. They're also a Certified Information Systems Security Professional and Risk Management Professional, among numerous professional designations.
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