AI Revenue Automation & Intelligence Lead

Role Description

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.
  • Test, build, and scale the business logic, signal models, operating rules, & success criteria for AI-enabled revenue workflows.
  • 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.
• 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.
• 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.

Qualifications

• 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.

Benefits

• 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!