Member of Technical Staff, Underwriting

Pylon pylonlending.com Open · verified Oct 24, 2026

Hybrid San Francisco Full-time Senior Software Engineering

At a glance

Senior Software Engineering role at Pylon. San Francisco · full-time · $130,000–$220,000 base.

SalaryStated by Pylon

$130,000 – $220,000

Base salary for this role, in USD per year, as published in the posting.

This role, from PylonOur estimate for the market: $195,575–$250,000Median $220,500

Below the market median of $220,500 for senior software engineering roles in San Francisco.

Worked out from 214 postings that stated pay, median $220,500. Last updated Oct 24, 2026.

RoleSoftware Engineering

SenioritySenior

LocationSan Francisco

WorkplaceHybrid

EmploymentFull-time

Base pay$130,000–$220,000

PostedApr 13, 2026 · 6mo ago

Role brief

techroles summary, based on the employer's posting.

What you'll do

Turn written mortgage guidelines into executable rules using custom languages and AI techniques
Work with mortgage specialists to clarify rule nuances, exceptions and judgment calls
Build precise underwriting systems, with strong tests and careful planning for failure cases
Explore new uses of AI in mortgage processes and help shape how those systems work

What you bring

You take features through design, development, release and ongoing maintenance
You are ready to put sustained effort into solving difficult technical problems

Who this fits

This senior backend engineering role suits someone who is curious and comfortable owning work end to end. The role is hybrid in San Francisco.

From the employer

About Pylon

America’s $13T mortgage market is one of the most important financial systems in the world. It underwrites the middle class and is the mechanism through which millions of families build wealth. But while every other financial instrument has been simplified to an API call, mortgages are still assembled by hand.

We started from zero and created the first vertically integrated mortgage platform that turns origination into a single API.

Publicly traded companies and the country’s largest originators are already building on Pylon. Revenue is compounding monthly. We’re backed by Peter Thiel, Conversion Capital, QED, Citi, Fifth Wall, and the founders of Ramp, Blend, and Mercury.

Working at Pylon isn’t for those seeking comfort. The people who thrive here have high agency, strong opinions, and a track record of delivering outcomes without direction. Many of us are former founders. We move quickly, challenge each other directly, and take full ownership of results. It’s hard work, but it will be worth it.

Join us in building America’s mortgage rails.

The Team

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.

Here Is What You'll Do

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.
Automate complex, regulated processes. Every rule you encode is a step toward a world where mortgages are faster, cheaper, and more accessible.