Industrial real estate investment manager focused on last-mile logistics
Faropoint operates an industrial real estate investment business targeting logistics and last-mile facilities. The tech stack reflects a hybrid finance + real estate operations engine: Yardi and NetSuite for asset management, Salesforce for deal pipeline, Power BI and Tableau for portfolio visibility, paired with AWS-native AI tools (Bedrock, LangChain, LlamaIndex, LangFuse) suggesting active workflow automation around transaction analysis and due diligence. Hiring is accelerating in finance and real estate roles, signaling active deal velocity and portfolio scaling.
Faropoint is a data-driven real estate investment manager specializing in industrial properties serving last-mile and logistics sectors. Founded in 2012 and based in Jersey City, the firm targets operational inefficiencies in the warehouse and logistics real estate market to drive risk-adjusted returns. The company manages its own portfolio of logistics facilities while pursuing ground-up industrial development and adaptive-reuse projects (converting excess office space to warehouse). Operations span transaction sourcing, leasing, capital improvements, and investor reporting across regional markets including Florida.
Yardi for asset management, NetSuite for financial operations, Salesforce for deal pipeline, Power BI and Tableau for portfolio analytics, AWS (Athena, Lambda, Step Functions, Bedrock) for backend infrastructure, and LangChain, LlamaIndex, and LangFuse for AI-driven automation.
Yes. Current hiring shows 4 finance roles, 3 real estate roles, and 1 construction role, with velocity accelerating. Most hires are at mid (4) and director (3) levels.
Transaction analysis for acquisitions, portfolio analytics tools, leasing operations, market analysis (especially Florida), investor reporting, tenant buildouts, capital improvements, and ground-up industrial development projects.
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Faropoint's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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