Pylon
Member of Technical Staff, Underwriting
Palo Alto · Staff+
Sponsorship not specifiedDetected 99 days ago
TypeScriptSQLPostgreSQLTemporalGraphQLMachine LearningAI OrchestrationUnderwriting
About the role
- About Pylon America's $13T mortgage market is one of the most important financial systems in the world.
- But while every other financial instrument has been simplified to an API call, mortgages are still assembled by hand.
- We're backed by Peter Thiel, Conversion Capital, QED, Citi, Fifth Wall, and the founders of Ramp, Blend, and Mercury.
Responsibilities
- It underwrites the middle class and is the mechanism through which millions of families build wealth.
- Publicly traded companies and the country's largest originators are already building on Pylon.
- Join us in building America's mortgage rails.
- Wants to own features from design to development to deployment to maintenance
Skills
- Custom DSLs for rule encoding
- AI/ML tooling and agentic infrastructure
- NestJS + GraphQL
- SQL (PostgreSQL)
- Temporal.io http://Temporal.io (workflow orchestration)
- Someone who:
- Is deeply curious
- Is willing to put the work in to solve the hardest of problems
- Location: Palo Alto, CA Base Salary Range: $140,000/yr to $220,000/yr + Equity + Benefits
Compensation
- $140,000/yr to $220,000/yr + Equity + Benefits
Company info
- We're looking for Back End Engineers to join our Underwriting team.
- This is the team that takes human judgment out of mortgage origination - and replaces it with systems that are faster, more consistent, and more accurate than any human process could be.
- Mortgage underwriting today is mostly manual.
- Experts read guidelines, interpret rules, cross-reference documents, and make decisions that determine whether someone gets a home.
- We're encoding all of that into software.
- Nobody has fully cracked this yet.
- The companies that figure it out will define the next generation of lending.
- The stakes are real.
- An incorrectly modeled rule can cost the company tens of thousands of dollars on a single loan.
- A well-modeled system can help us outcompete everyone in the market.
- Encode natural language rules into code. You'll work with DSLs and novel techniques - including AI - to translate dense regulatory guidelines into executable logic. Think of it as compiling English into a system that makes six-figure decisions.
- Work side-by-side with mortgage experts. You won't be guessing what the rules mean. You'll pair with people who've spent their careers in mortgage to understand nuance, exceptions, and the "it depends" that makes this domain so hard.
- Build systems where correctness is everything. This isn't a domain where "close enough" works. You'll design for precision, build robust test coverage, and think deeply about failure modes.
- Push into uncharted territory. We're applying AI in ways the mortgage industry hasn't seen. You'll help define what's possible - not just implement what's been done before.
This listing is sourced directly from Pylon's careers page and normalized into a canonical job model.