Senior Analytics Engineer - US (Remote)

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company on track to hit $100M in annual recurring revenue in the next six months. More than 87,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business. We’re looking for a Senior Analytics Engineer to build and scale the analytical foundation that powers decision-making across Go-to-Market, Product, Finance and Operations teams. You will sit at the intersection of data engineering and analytics: transforming raw product, marketing, and financial data into clean, well-modeled, and trustworthy datasets. Your work will power everything from executive dashboards and cohort analyses to experimentation, pricing, and AI product insights. This is a highly cross-functional role — you’ll partner closely with Product Management, Marketing, RevOps, Finance, and Engineering to ensure our analytics stack is robust, scalable, and aligned with the business. Responsibilities • Build & Own the Data Foundation ◦ Own and evolve our dbt project–ensuring models are performant, well-tested, and documented. ◦ Design and maintain the Snowflake data warehouse and ingestion processes. ◦ Use modern data modeling best practices to create core entities and datasets that account for complex business processes and logic. • Drive Data Quality & Automation ◦ Implement testing and observability for analytics pipelines ◦ Enforce CI/CD best practices, such as automation, linting, tests, code review and approvals. ◦ Standardize metric definitions and ensure they are consistently computed across tools. • Cross-Functional Collaboration ◦ Act as data liaison between Engineering, GTM, and Finance—ensuring consistent metric definitions and proper system instrumentation. ◦ Enable stakeholder self-service access to trusted insights. ◦ Drive data literacy: evangelize best practices in querying, dashboarding, and interpreting metrics; coach stakeholders toward self-serve. Qualifications