Founding Engineer

The commercial real estate space is ripe for disruption. The industry has exploded in size and revenue, but still runs on fragmented CRMs, legacy loan systems, email, spreadsheets, phone calls, and document portals. Legacy players are struggling to adapt to an AI-native age, while lenders and brokers are constrained by manual work.

We’re going to change that.

We’re building an autonomous loan origination and processing platform that helps commercial real estate lenders move loans from intake through underwriting with no manual work. We’re:

• An experienced team used to shipping fast - with alumni and tech leads from Meta, LinkedIn, and Rippling.
• Backed by a16z through Speedrun.
• Working with multiple paid pilots, and moving quickly from customer conversations to production software., We’re looking for a founding engineer to help build our product, technical foundation, and engineering culture.

You’ll work directly with the founders and customers to turn ambiguous, high-value problems into production software. You’ll have broad ownership over what we build, how we build it, and how quickly it reaches customers.

You’ll:

• Build and own major product surfaces from first principles.
• Develop AI systems for complex, high-stakes workflows.
• Design reliable infrastructure and external integrations.
• Work directly with customers to understand their operations and iterate quickly.
• Help establish our technical standards and engineering culture.

Mortgage Lending, Loan Origination, Underwriting, Commercial Property Loans, Loan Processing, LinkedIn, Technical Leadership, Product Development, Artificial Intelligence (AI), Resolve Customer Issues, You:

• Care deeply about solving customer problems.
• Move quickly without compromising engineering judgment.
• Are comfortable working across the stack.
• Communicate clearly and thrive with substantial ownership.
• Use AI coding agents fluently to multiply your output.
• Live in San Francisco and are available to work in person with the team 5 days a week.

Experience with Python, TypeScript, React, applied AI, or data-intensive systems is helpful, but the ability to learn and execute matters more. You don’t need prior experience in lending or commercial real estate.