About the job
Luxury Presence is revolutionizing the real estate industry by developing an AI-driven growth platform. With the support of esteemed investors like Bessemer Venture Partners, we are a Series C company poised to achieve $100M in annual recurring revenue within the next six months. Our platform is trusted by over 87,000 real estate professionals, including more than 30% of the WSJ Real Trends top 100 agents in the United States, to effectively manage and expand their businesses.
About the Role
We are on the lookout for a Senior Software Engineer to enhance our MLS data platform team. In this role, you will develop resilient data pipelines and backend services that drive:
• Top-notch MLS and property data sourced from over 400 feeds
• Efficient property discovery and search functionalities on agent websites
• Tailored listing recommendations and innovative data-driven features
• Conversational and operational AI agents that enhance internal workflows
• An evaluation and monitoring framework that continually refines these systems
This position bridges backend engineering, data infrastructure, and AI-powered solutions.
Meet the Data Platform Team
Our mission is to ensure that reliable MLS listing data and user interaction data are always accessible to our products and clients. Our diverse team, comprising data engineers and software engineers, is responsible for the entire listing pipeline, from ingestion and transformation to normalization across 400+ MLS feeds and additional data sources.
We also expand the platform to gather user activity data for features like personalized listing recommendations, and we develop AI agents that automate processes such as feed onboarding and issue triage, minimizing manual tasks for our internal teams and clients, thus facilitating faster business impact from data.
Key Responsibilities
Technical Leadership & Architecture
• Oversee the comprehensive architecture for MLS and property data, including streaming and batch pipelines, microservices, storage solutions, and APIs
• Design and enhance event-driven, Kafka-based data flows that support listing ingestion, enrichment, recommendations, and more.
