Financial Solutions & Product Analyst

About REAL REAL is building an AI Execution Platform for enterprise real estate organizations. Our platform transforms fragmented business and financial data into connected intelligence, enabling customers to automate complex workflows, improve operational accuracy, and make better business decisions. At REAL, you’ll work with cutting-edge AI technology, enterprise customers, and a product that is redefining how commercial real estate organizations operate. REAL Values Ownership: We take responsibility and move decisively. Clarity: We simplify complexity to deliver meaningful impact. Accuracy: Precision matters in everything we build. Velocity: We work with urgency and intent. Partnership: We collaborate closely with customers and teammates. Role Overview As a Financial Product Analyst, you’ll work at the intersection of Product, AI, Data, and Customer Success. You’ll become an expert in REAL’s AI platform and help ensure customers receive accurate, scalable, and high-quality solutions. This role combines financial reasoning, product understanding, analytical thinking, and technical curiosity. You’ll evaluate AI-generated outputs, validate product behaviour, investigate customer use cases, identify product improvements, and collaborate closely with Product and Engineering to enhance the platform. If you enjoy solving business problems, working with data, understanding complex products, and influencing product decisions, this role is for you. What You’ll Do Become an expert in REAL’s AI platform and customer workflows. Evaluate AI-generated outputs and validate the quality and accuracy of product results. Perform functional product testing across real customer scenarios. Analyse financial, operational, and product data to identify trends, issues, and opportunities. Investigate customer questions and complex business cases. Design scalable product solutions for enterprise customers. Work closely with Product and Engineering to recommend product improvements based on customer feedback and data. Support customer onboarding and validate product configurations. Identify product gaps, edge cases, and workflow improvements. Translate complex business requirements into clear product recommendations. Continuously improve product quality and customer experience.