As the founding backend and data platform engineer, you will architect the infrastructure that powers non-traditional mortgage lending. You'll own the end-to-end data lifecycle—from ingesting banking and tax data via Plaid and Finicity to building canonical models and ML-ready pipelines. This high-agency role involves shaping the core product used by major global financial aggregators.
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Founding Engineer - Backend & Data Platform at Greenline
76 million self-employed Americans struggle to prove their income to lenders. This fintech startup is fixing that with automated analysis trusted by Goldman Sachs and Morgan Stanley. As the founding backend and data platform engineer, you'll architect the infrastructure from scratch, working alongside a world-class team from Airtable and Opendoor. With $175k-$225k base and aggressive equity, you will own the data backbone—from Plaid integrations to ML-ready pipelines—that makes homeownership a reality for millions of underserved borrowers. If you thrive on high agency and greenfield engineering, this is your chance to shape the future of mortgage lending.
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Location
Remote (United States)
Compensation
$175k-$225k + Equity
Company
Greenline
Role overview
fintech, mortgage, lending5-10 employees
Greenline streamlines non-QM mortgage (i.e. self employed, SMB owners) income and asset analysis using direct source data (Plaid, Finicity, MX), not PDFs. We connect borrowers, loan officers, underwriters, and TPR in a secure, unified experience to eliminate fraud and reduce review cycle times. Our analysis is accepted by the lar investors/ aggregators including Onslow Bay, Verus, eRESI, Goldman Sachs, Apollo, Morgan Stanley, JPM, TPG Angelo Gordon, etc.
What you will do
- Design and operate resilient data ingestion and normalization pipelines for complex financial sources including banking, tax transcripts, and accounting platforms.
- Build core platform infrastructure including authentication, webhooks, rate limiting, and vendor-agnostic abstraction layers to ensure system reliability and scalability.
- Develop in-house feature extraction pipelines and productionize ML models for income categorization, anomaly detection, and automated financial insights.
Who this is a fit for
- Senior or Staff-level engineer with deep experience building data-centric products from infancy, specifically involving complex Postgres schema design and SQL migrations.
- Practical experience consuming ML models via APIs/SDKs and building the supporting feature pipelines, though this is an engineering rather than research-focused role.
- Proficient in TypeScript and modern backend architectures, with a strong bias toward shipping and experience working in fast-paced, early-stage startup environments.
Why this role is remarkable
- Significant architectural influence as a founding team member, building greenfield infrastructure for a product already trusted by Goldman Sachs, JPM, and Morgan Stanley.
- High-agency environment led by a team from Airtable and Opendoor, operating with a flat structure where engineers participate in the entire product lifecycle.
- Aggressive equity upside in a fintech solving a massive market gap for 76 million self-employed Americans who are currently underserved by traditional lenders.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Greenline wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.