Senior Revenue Systems Manager

Parent Square is a rapidly growing Santa Barbara-based company that’s changing the way schools and parents communicate every day. Sound simple? We strive to keep it that way! Our mission is to give schools the power to incredibly enhance family engagement for all students. Parent Square and Remind Hub, our flagship products, serve over 22 million students and drive our mission by providing unified communications tools
-forms, sign ups, payments, RSVPs, direct messaging, language translations, chat and more. Remind Chat, our free product, reaches over 80% of K-12 students, providing a safe and easy-to-use platform for direct communication between teachers and families. And our latest innovation, Smart Sites, offers state-of-the-art websites for school districts, enhancing their online presence and accessibility.

We are not just creating a product; we are creating empowered educators and engaged parents to improve the lives of all students. We are passionate advocates for our customers and for our employees and we invite you to join us on this exciting journey.

Parent Square is scaling quickly, and our GTM systems, data, and architectural needs are scaling right along with us. As our GTM Systems & Data Manager, you’ll own the backbone of how Sales, Marketing, Customer Success, Deal Desk, and Finance operate: CRM, integrations, GTM systems, and the data and automation that tie everything together.

You will bring structure, clarity, and technical leadership to a team that is operational but in need of stronger data governance, better architectural planning, and an owner who can help us scale our systems with intention.

Critically, this role will help Parent Square evolve from reactive GTM operations to intelligent, insight-driven operations using AI, automation, and strong data foundations to surface risk, prioritize action, and reduce manual burden across teams.

You will be the people leader and technical manager for our GTM Systems Architect, ensuring clear direction, a cohesive roadmap, and support to build scalable, flexible, and well-governed systems. You will also have individual contributor responsibilities.

Most importantly, you’re someone who shares in our passion for improving the lives of students through communication.

• Design scalable data structures, objects, workflows, and automation aligned to current and future GTM strategies
• Lead the GTM-wide systems roadmap with the Systems Architect
• Oversee governance and configuration across Hub Spot and connected GTM tools
• Architect systems with AI-readiness in mind, ensuring data structures, lifecycle logic, and signals can support intelligent automation and future AI use cases

• Build and maintain a data governance framework spanning lifecycle stages, routing, ARR mechanics, property standards, deduplication, enrichment, and hygiene
• Create data models and naming conventions that support accurate, scalable reporting across Hub Spot and downstream BI tools
• Establish trusted data foundations that enable AI-driven insights, forecasting support, and automated decisioning
• Own the AI roadmap for GTM systems, including Hub Spot AI and native AI capabilities in connected tools
• Partner with internal AI teams to evaluate and integrate new AI capabilities
• Build AI-driven automations to improve routing, forecasting hygiene, lifecycle transitions, and data quality
• Translate AI capabilities into real operational leverage, reducing manual work, surfacing risk earlier, and improving prioritization for GTM teams
• Work within and help set up guardrails for responsible AI usage, including explainability, auditability, and data trust

• Architect lifecycle automation, routing, attribution, and pipeline mechanics that reflect real-world GTM behavior
• Improve forecasting hygiene through predictable data flows and clear system logic
• Partner with Sales, CS, Marketing, and Rev Ops peers to strengthen process discipline and reporting accuracy
• Use AI and system signals to proactively identify breakdowns in process, pipeline risk, and execution gaps