AI Revenue Automation & Intelligence Lead

About the role

The AI Revenue Automation & Intelligence Lead at Modern Campus will 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 combines 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.

Responsibilities

• Analyze funnel performance, conversion trends, pipeline movement, campaign effectiveness, and lead flow using data 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 by partnering 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 and 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, recommending actions, triggering workflows, supporting 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 by partnering 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.
• Refine future automation priorities and inform the broader revenue automation roadmap based on findings from pilots and production workflows.

Requirements

• 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.
• Familiarity 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.

Qualifications

• Master’s degree in Business Administration, Computer Science, Data Science, or a related field.
• Proven track record of successfully leading and managing revenue operations initiatives.
• Experience with AI and machine learning technologies, including natural language processing, predictive analytics, and decision-making algorithms.
• Experience with data visualization tools and dashboards to communicate insights and drive decision-making.
• Excellent communication and interpersonal skills to collaborate with cross-functional teams.
• Ability to manage multiple projects simultaneously and meet deadlines.

Skills

• Data analysis and interpretation
• CRM and marketing automation platform proficiency
• Workflow automation and configuration
• AI and machine learning
• Project management
• Communication and collaboration

Benefits

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!

Pay

The base salary range* for this position is between $120,000-$140,000

Schedule

Remote first workplace