Fourth

Customer Success Manager

• Own a portfolio of approximately 50–75 larger Emerging/SMB accounts across onboarding through renewal
• Collaborate with Services to monitor onboarding progress and ensure customers reach adoption milestones and time to first value quickly
• Define each account’s value moment and track usage/adoption data against the customer’s business objective
• Conduct milestone check-ins, monitor adoption data and early churn indicators, and intervene with supplemental guidance
• Respond promptly to customer inquiries and support requests while meeting SLA commitments with Support
• Identify and flag expansion opportunities and renewal risk to the CSM Manager or Sales/Account Management
• Execute adoption and retention targets set by the CSM Manager
• Identify trends in customer challenges and suggest improvements to processes, FAQs, knowledge base content, and automation
• Use AI-enabled adoption and health-scoring tools to monitor portfolios and surface risk and expansion signals
• Maintain accurate records in Salesforce, Zendesk, and NetSuite as needed
• Work cross-functionally with Support, Product, and Sales
• Monitor success through time to first value, adoption rate, early churn rate, SLA adherence, and CSAT

Customer Success Manager, Emerging Accounts

Data Engineer

• Design, build, and maintain data pipelines and models underpinning Fourth’s single source of truth
• Gather and translate business requirements into reliable, well-tested data solutions on Azure
• Build, maintain, and optimise scalable batch and near-real-time ETL/ELT pipelines using Azure Data Cloud Platform tools
• Develop and refine data models for BI reporting, analytics, and ML/AI use cases
• Write efficient, well-documented T-SQL and PySpark code
• Implement automated testing, data validation, monitoring, SLAs, and alerts
• Contribute to data governance, lineage tracking, metadata management, and quality controls
• Support CI/CD pipelines for data assets, version control, and reproducibility
• Partner with Analytics Engineers and business stakeholders to scope, refine, prioritise, and deliver data products
• Collaborate with Analysts, BI Developers, Data Scientists, and business teams on production-ready data solutions
• Provide input on data readiness for machine learning and analytics projects
• Contribute to the evolution of data platform tooling, standards, and documentation
• Stay current with data engineering patterns and technologies and propose process improvements
• Use AI for code generation, data profiling, testing, documentation, and task management
• Build an AI-ready data platform with clear documentation, semantics, and structure
• Support performance tuning and cost optimisation across the data platform

Customer Success Manager, Emerging Accounts

Data Engineer – Enterprise Data & Intelligence