AI underwriting and tenant screening for multifamily operators
Two Dots builds AI-powered tenant screening software that automates income verification, fraud detection, and underwriting for multifamily property managers. Their platform, including the agent Eve, enables real-time approvals and consistent decisions, reducing manual work and vacancy times. It serves property operators to speed up leasing while minimizing risk.
As a Member of the Technical Staff, you will be a Software Engineer specializing in PDF processing and document understanding workflows. You will be responsible for building, scaling, and refining Python-based application code, ensuring fast and efficient PDF processing, and managing ML operations and quality.
As a Member of the Technical Staff, you will build consumer-facing chat agents that serve as the frontend to complex workflows. This role requires strong Python ability, user empathy, and a metrics-driven approach to understanding and improving chat agent quality.
Leads enterprise sales engagements, managing full lifecycle of customer relationships from prospecting to expansion. Requires 2-6+ years in consulting, investment banking, or B2B startups with strong relationship management and strategic skills.
Build fullstack platform automating loan and housing underwriting using conversational interfaces. Work across TypeScript/React frontend, Node.js/Python backend, Postgres/BigQuery/Redis databases on GCP.
Designs, develops, and deploys ML models focused on fine-tuning multimodal LLMs for fraud detection and application automation in financial profiles. Requires 3+ years experience with Python, PyTorch, and expertise in information extraction from financial documents.
Prospects and educates target accounts through outbound cold calling, email, LinkedIn, and phone to book meetings and generate sales pipeline. Partners with Account Executives; ideal for ambitious new grads or those with 1-2 years SDR experience in a fast-paced startup.