Solutions Engineer

Posted 2 Days Ago
Hiring Remotely in USA
Remote
135K-165K Annually
Junior
Artificial Intelligence • Software
The Role
Build and deploy customer solutions for mortgage lenders, including API and loan origination system integrations. Write production Python and SQL, troubleshoot technical issues, resolve problems in real loans, guide customers through technical decisions, and collaborate with engineering, support, and sales. Own projects from customer discovery through production, improve integration tooling, and translate customer feedback into product enhancements.
Summary Generated by Built In
Location: US Remote
** Candidates must currently live in the US and have work authorization to work for any US employer **

About Friday Harbor: 
Friday Harbor is the leading AI-native technology platform in US mortgage, the largest sector of consumer credit in the world. 

We’re already used on almost 1% of all residential mortgages in the US, and that number is growing rapidly. Three of the top 25 lenders in the country trust Friday Harbor in production today, which means the work you ship here touches real loans and real borrowers right away.

We’re a Seattle-based startup backed by leading venture firms, including Abstract, Mischief, Wischoff, AI2 Incubator, and CoFound. 

Our engineering team is small, fully US remote, and comes together for regular off-sites. We care about doing ambitious work while offering flexibility and good work-life balance.

The Role:
We’re looking for a Solutions Engineer who enjoys working directly with customers and writing code to solve their problems. You’ll help our lenders launch on Friday Harbor and make the platform work for their needs as they grow.

This is a hands-on engineering role. Most of your time will be spent in the codebase, building and improving integrations, adding product capabilities, and resolving problems on real loans. You’ll own the work from the first customer conversation through production, collaborating with senior engineers and bringing what you learn back into the product.

What You'll Do:
  • Build solutions to customer problems. Work with customers to understand what they need, define an approach, and ship the code. This could mean carrying a new customer through pilot to full launch, improving an existing workflow, or building a new feature.
  • Support lender integrations. Help lenders adopt new APIs and troubleshoot their API and LOS integrations, building tooling and templates so each new integration takes less effort than the last.
  • Resolve technical customer issues. Partner with support and sales to investigate customer problems that need technical expertise. Find the cause, understand why it’s happening, and work across teams to resolve.
  • Guide customers through technical decisions. Be the person customers turn to when they’re figuring out how to use Friday Harbor, explaining what’s possible and helping them choose the right approach.
  • Be part of the engineering team. Work with the rest of the team to shape technical decisions, review code across the codebase, and contribute to broader engineering work. Bring customer context into those conversations and help turn customer needs into product improvements.

What We're Looking For:
  • Strong engineering skills. You can write production-quality Python and SQL, build and debug API integrations, and work with messy data in formats like JSON and XML. You can find your way around an unfamiliar codebase, read logs, and trace a problem to its cause.
  • Experience working directly with customers. You’ve worked directly with customers and enjoy it. You’re comfortable in customer meetings, setting clear expectations, and being the go-to technical person for the customers you work with.
  • Clear communication. You can explain technical decisions to underwriters and operations leaders as easily as to engineers. You write things down well.
  • Project ownership.  You can manage competing priorities and see work through to completion, keeping customers and the rest of the team aligned on progress, decisions, and next steps.
  • Product judgement. You look beyond the initial request to understand the problem. You can recognize when to improve the broader product, when a custom solution makes sense, and when to suggest a different approach, working through those tradeoffs with customers and engineering.
Usually 2+ years as a software engineer, plus real experience working directly with customers, whether in an engineering role or something like support

Nice to Have:
  • Mortgage industry experience, such as underwriting, lender operations, or loan origination systems like Encompass.
  • Experience with AI products, including setting customer expectations around accuracy and edge cases.
  • Working with regulated customers and their security, compliance, and vendor review processes.
  • Experience as an early engineer at a startup.
You don’t need to have experience in every area before joining. Strong infrastructure fundamentals and curiosity about these problems are more important to us than the specific technology you’ve used.

Why Join:
You’ll work directly with some of the largest lenders in the country, with experienced engineers alongside you, and see the impact of your work right away. The work is close to the product, has immediate customer impact, and what you learn from customers shapes what the team builds next.

If you enjoy being in the room with customers, writing code to solve their problems, and turning what you learn into a better product, we’d like to talk.

We offer a base salary of $135,000 to $165,000, equity, and a comprehensive benefits package.

Skills Required

  • At least 2 years of experience as a software engineer
  • Production-quality Python programming skills
  • SQL proficiency
  • Experience building and debugging API integrations
  • Experience working with JSON and XML data
  • Experience working directly with customers
  • Strong written and verbal communication skills
  • Ability to manage competing priorities and own projects through completion
  • Currently residing in the United States
  • Work authorization for any US employer
  • Mortgage industry experience, including underwriting, lender operations, or loan origination systems such as Encompass
  • Experience with AI products and communicating accuracy limitations and edge cases
  • Experience working with regulated customers and security, compliance, or vendor review processes
  • Experience as an early engineer at a startup
Am I A Good Fit?
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The Company
HQ: Seattle, Washington
13 Employees
Year Founded: 2024

What We Do

The mortgage industry's first AI Originator Assistant. Assemble complete, accurate, verified loan files at the start of the sales process. Backed by The Allen Institute for AI Incubator.

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