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Real Estate Acquisition Specialist

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Subscribers got this job on 4 October 2026. New jobs reach them at 8 am and 6 pm, 5 days before they open here. Get the next one first

The job in short

Off-market U.S. real estate deal sourcing, underwriting and investor presentations.

ExcelB2BSaaSUnderwriting

Details

Found
28 d ago · posted 2026-10-04
Role
Real Estate Acquisition Specialist
Source
The company’s own careers site

Full description

Job title: Real Estate Acquisition Specialist Type of employment: Full-time Shift Schedule: Flexible but preferred at least 4 hours daily overlap with 8:00 AM – 5:00 PM U.S. hours You will source off-market U.S. land and property deals before they hit public listings, run initial underwriting using a simple model, and support deal execution by creating investor/lender-ready presentations. This is a proactive, analytical acquisition role where AI proficiency is mandatory—you'll use tools like Claude (and other AI systems) to automate sourcing, screening, and proposal/presentation workflows so decisions happen faster and deal flow increases. About the Company: The client is a fractional go-to-market advisory that builds AI tools and go-to-market engines for early-stage startups, and also backs founders through an angel portfolio of 10+ investments across sectors like healthcare, B2B SaaS, AI, and fintech in Latin America and the U.S. Objective of this role: • Increase deal flow by consistently sourcing and screening off-market opportunities • Support faster decision-making through accurate, timely deal analysis and clean data organization • Produce clear, professional deal presentations for lenders and investors • Improve daily execution by keeping communication, follow-ups, and pipeline tracking organized and up to date • Use AI tools to enhance research, drafting, analysis support, and workflow efficiency Responsibilities: Deal sourcing (off-market) • Source off-market land and property opportunities in the U.S. before public listings • Build and maintain sourcing pipelines and lists using AI-enabled research and data gathering Underwriting & screening • Perform initial underwriting to assess deal potential (training on the model/process as applicable) • Use Excel to run basic financial analysis and support go/no-go decisions • Document assumptions and supporting details clearly for internal review Proposals & presentations • For smaller deals: support standardized/templated offers and proposal workflows (including automated sending where applicable) • For larger deals: gather all relevant deal information and build investor/lender presentations in a predefined format • Create and organize shared deal folders/files so investors/lenders can review materials easily Workflow & coordination • Track leads, next steps, follow-ups, and pipeline status consistently (CRM/pipeline tracker) • Coordinate with internal/external stakeholders (investors, lenders, construction partners) as needed for specific deal workflows • Maintain strong follow-through and ensure nothing slips due to missed details AI implementation (mandatory) • Use AI tools (e.g., Claude and other automation/content tools) to: • Accelerate sourcing and research • Speed underwriting support and data summaries • Draft outreach/proposals where appropriate • Improve organization, checklists, and repeatable systems Required skills and qualifications: • AI proficiency (mandatory): able to implement and manage AI tools to automate tasks and increase efficiency • Strong finance fundamentals with the ability to support underwriting and deal evaluation • Strong Excel skills (comfortable working with numbers and models; able to access and operate Excel) • Ability to explain complex situations simply (clear written communication and presentation readiness) • Highly proactive, self-managed, and able to solve problems independently • Organized, detail-oriented, and reliable with strong follow-up discipline • Cultural fit aligned to honesty, loyalty, and work ethic Preferred skills and qualifications • Underwriting experience for a lender or real estate developer (strongly preferred) • Financial modeling experience in real estate (deal screening, assumptions, quick evaluation) • Experience preparing investor/lender presentations and assembling deal rooms/shared folders • Real estate sales background is less important than underwriting/finance analysis strength

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