• Design, build, and maintain lifecycle journeys in Salesforce Marketing Cloud using Email Studio, Journey Builder, Automation Studio, Contact Builder, and Data Extensions, covering the full funnel from lead through origination and post-funding. • Own and evolve the architecture of Splitero’s Marketing Cloud implementation, including data models, subscriber management, and Marketing Cloud Connect with Salesforce Sales Cloud and Data Cloud/Data 360. • Configure and optimize multichannel messaging (email and SMS) for both marketing and operational communications, ensuring deliverability, reliability, and consistency across campaigns and journeys. • Use SQL within Marketing Cloud and Salesforce Data Cloud/Data 360 to design and manage data extensions, segmentation logic, and audience definitions that support personalized, event-driven campaigns. • Partner with Product, Engineering, and Analytics to implement and refine tracking across GA4 and Salesforce/CRMA, co-owning online and offline events used for lifecycle analysis, experimentation, and optimization. • Collaborate with a MarTech Product Manager and product analytics resources to translate lifecycle and growth requirements into robust technical implementations, including event schemas and data flows. • Set up and maintain automations and data flows between Salesforce Sales Cloud, Data Cloud/Data 360, and Marketing Cloud using standard connectors and configuration, minimizing manual work and data discrepancies. • Enforce governance across the Marketing Cloud ecosystem, including naming conventions, data contracts, folder structures, and documentation, to build a strong, maintainable foundation as the stack grows. • Ensure all campaigns and automations adhere to standard marketing laws and best practices (CAN-SPAM, consent handling, unsubscribe logic), with an understanding of the considerations for financial products. • Work in a remote, high-autonomy environment with a bias toward shipping MVP journeys and iterating based on data, while maintaining strong attention to detail in configuration and data quality. • Constantly look for ways to innovate with AI technologies and evaluate new products and tools to improve homeowner experience and internal workflows.