The growth platform for real estate's top-performing agents, teams, and brokerages. Grow your brand and uncover hidden buying and selling signals in your network. Backed by Bessemer.
About the role
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, People, and Operations teams.
What they're looking for
- 5+ years of experience as an analytics engineer, data engineer, or a similar role in a SaaS environment
- Deep expertise in SQL, dbt, and modern data modeling best practices
- Proficiency in Python for pipeline development, API integrations, and automation
- Experience modeling Salesforce data — opportunities, contracts, subscriptions, cases, and field history
- Proven experience building custom ELT pipelines that ingest data from third-party APIs into a cloud data warehouse
- Experience designing cross-system reconciliation models — joining, deduplicating, and comparing data across multiple source systems to surface discrepancies
More about this role
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 that has hit $100M in annual recurring revenue. More than 90,000 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, People, and Operations teams.
You will sit at the intersection of data engineering and analytics: transforming raw product, marketing, financial, and operational data into clean, well-modeled, and trustworthy datasets. Your work will power everything from executive dashboards and cohort analyses to experimentation, billing operations, AI-powered outreach, and semantic layers that let AI agents answer stakeholder questions autonomously.
This is a highly cross-functional role — you'll partner closely with Product Management, Marketing, RevOps, Finance, People Ops, and Engineering to ensure our analytics stack is robust, scalable, and aligned with the business.
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