AI Revenue Automation Lead

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Modern Campus

WebsiteLinkedInAlle Stellen

201 - 500 Mitarbeiter

Gegründet 2018

📚 Bildung

☁️ SaaS

🤝 B2B

💰 €59.000.000 Debt Financing - Modern Campus im 2021-06

Education • SaaS • B2B

Modern Campus ist ein Softwareunternehmen, das cloudbasierte Lösungen für Hochschulen entwickelt und bereitstellt, um Lernende zu gewinnen, zu binden, einzuschreiben und zu halten. Ihr Produktsortiment umfasst ein Content-Management-System (CMS), ein System zur Verwaltung von studentischem Engagement und außercurricularen Aktivitäten, Termin- und Lehrplan-/Katalogmanagement, Karriereplanungstools, konversationelle Textnachrichten sowie Plattformen für Weiterbildung und berufliche Entwicklung, ergänzt durch professionelle Dienstleistungen und Support. Modern Campus konzentriert sich darauf, Hochschulen und Universitäten durch SaaS-Produkte und -Dienstleistungen ein modernes Studentenerlebnis zu ermöglichen, das Abläufe optimiert und Ergebnisse verbessert.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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!