Experience building, owning, and shipping full-stack web products, with evidence of strong technical ability and personal ownership.
Strong engineering judgment and hands-on experience using artificial intelligence, with the ability to translate complex workflows into reliable software.
Ability to work onsite five days a week in Flatiron, New York City.
Experience is assessed by demonstrated achievement; exceptional new graduates and experienced engineers are welcome.
Responsibilities
Build a national graph of properties, deeds, conveyances, mortgages, and debts using document ingestion and classification.
Design multi-agent systems, integrations, evaluations, and agent sandboxing for reliable real-world operation.
Apply language models to property law, tracing evidence and helping attorneys produce defensible opinions.
Build agents that coordinate closings, mortgages, documents, and money, with safeguards against fraud.
Own product discovery, technical decisions, deployment, and results, working directly with operators.
Desired Qualifications
Early startup or founder experience.
Strong technical education.
Experience with applied artificial intelligence, agents, distributed systems, or data-intensive products.
Founding Product Engineer
Raydar · New York, United States · Full-time · Posted 2026-10-08
Salary: USD 175,000–225,000
Workplace: on_site
Description
About the Company
Our client is an early-stage, venture-backed company acquiring real estate services businesses and building AI systems inside them. Starting with title and escrow, its mission is to make home ownership more affordable and improve the quality of real estate transactions. The five-person team includes four repeat founders with experience at leading technology companies.
About the Role
Join as a Founding Product Engineer and own a product vertical from day one. Work directly with the CTO, attorneys and closing teams to design software that operates real businesses. This full-time role is onsite five days a week in Flatiron, New York City. Relocation support is not provided.
What You Will Do
• Build a national graph of properties, deeds, conveyances, mortgages and debts, using document ingestion and classification.
• Design multi-agent systems, integrations, evaluations and agent sandboxing for reliable real-world operation.
• Apply language models to property law, tracing evidence and helping attorneys produce defensible opinions.
• Build agents that coordinate closings, mortgages, documents and money, with safeguards against fraud.
• Own product discovery, technical decisions, deployment and results, working directly with operators.
Requirements
• Experience building, owning and shipping web products across the full stack, with clear evidence of exceptional technical ability and personal ownership.
• Strong engineering judgment, hands-on use of AI, and the ability to translate complex workflows into reliable software.
• Ability to work onsite five days a week in Flatiron, New York City.
• Experience is assessed by demonstrated achievement: exceptional new graduates and experienced engineers are welcome.
• Early startup or founder experience, strong technical education, and applied AI, agents, distributed systems or data-intensive product experience are pluses. Exceptional work can compensate for formal education.
Tools
Full-stack web development, AI and LLMs, multi-agent systems, agent sandboxing, distributed systems, AI evaluations, and document ingestion and classification. No specific language or framework is required.
Benefits
Compensation and Benefits
$175,000-$225,000 USD base salary plus competitive equity. Candidates with existing US work authorization, H1B transfers, STEM OPT with more than two years remaining, or eligible TN cases may be considered. No new visa sponsorship or relocation support.
Why Join
Build foundational technology in a small team where engineers influence what gets built and who joins. Work alongside repeat founders, own deployed systems from the start, and help reduce manual work in real estate. The company announced an $11.5M Series A backed by established venture investors.