Multifamily and seniors housing lender building in-house data and AI tooling
MONTICELLOAM is a New York bridge lender focused on multifamily and seniors housing that is building an internal data and AI function. A Python, Snowflake, dbt and Airflow stack plus AWS Bedrock and Hugging Face points to document-extraction pipelines for loan files and RAG-based agents. Data-heavy, accelerating hiring across the US and Israel targets consolidating fragmented systems and cutting manual work.
MONTICELLOAM, LLC is a privately held lending platform headquartered in New York, NY, specializing in multifamily and seniors housing finance. It provides bridge loans, working capital facilities and permanent debt tailored to borrower needs, along with credit risk management and loan servicing. A separate advisory practice offers workout, asset management and restructuring support to financial institutions with seniors housing exposure. The firm employs 51–200 people, and its finance operations run on tools including NetSuite, Sage Intacct, Kyriba, Ramp and Yardi.
Its stack includes Python, Snowflake, dbt, Apache Airflow, AWS, AWS Bedrock, React and Docker, alongside finance tools such as NetSuite, Sage Intacct, Kyriba, Ramp and Yardi.
Yes. Hiring is accelerating and weighted toward data and engineering, mostly mid-level roles, focused on data pipelines, internal React apps and AI document extraction.
The company is headquartered in New York, NY and is hiring in the United States and Israel.
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MONTICELLOAM, LLC'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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