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Jack & Jill AI

Founding Engineer - Backend & Data Platform ($175,000 - $225,000 + Equity) at Greenline

Reposted 18 Days Ago
In-Office or Remote
Hiring Remotely in San Francisco, CA, USA
175K-225K Annually
Mid level
In-Office or Remote
Hiring Remotely in San Francisco, CA, USA
175K-225K Annually
Mid level
As a Founding Engineer, you'll design and implement a data platform and ingestion pipelines to support automated mortgage underwriting for self-employed Americans.
The summary above was generated by AI

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.

She will pick the best candidates from Jack's network

The next step is to speak to Jack.

Job Title: Founding Engineer - Backend & Data Platform

Salary: $175,000 - $225,000 + Equity

Company Description: Greenline - Fast-growing fintech startup

Job Description:
As a Founding Engineer, you will architect the foundational data platform that unlocks mortgage lending for 16.5 million self-employed Americans. You'll build resilient ingestion pipelines for banking and tax data, design scalable microservices in Postgres, and enable ML-driven insights that transform hours of manual review into minutes of automated processing.

Location: San Francisco, Austin, NYC, or Remote, USA

Why this role is remarkable:

  • Take 0→1 ownership of a greenfield data backbone at a nimble, high-agency startup composed of former Airtable and Opendoor engineers.

  • Directly impact the lives of millions of underserved borrowers by automating complex non-QM mortgage underwriting through innovative AI-driven infrastructure.

  • Receive a founding team title with an aggressive equity package and high architectural influence over the entire product lifecycle and technical roadmap.

What you will do:

  • Design and implement robust data ingestion and normalization pipelines for third-party financial sources like Plaid, the IRS, and accounting platforms.

  • Architect performant backend systems for asset serving, authentication, and complex relational data modeling using Postgres and GraphQL.

  • Productionize ML-driven signals by implementing feature extraction pipelines and integrating classification and anomaly detection models into core workflows.

The ideal candidate:

  • Proven experience building and operating event-driven data systems and complex APIs at early-stage startups where they wore many hats.

  • Expert-level proficiency in relational database design and a deep understanding of data correctness, auditability, and long-lived data contracts.

  • Practical familiarity with ML fundamentals including feature engineering and model evaluation, with the ability to consume and debug ML-driven systems effectively.

Who are Jack & Jill?
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.
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.

Next steps
Step 1. Visit our website.
Step 2. Click 'Talk to Jack'.
Step 3. Talk to Jack so he can understand your experience and ambitions.
Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role.
Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction.
Step 6. If not, Jack will find you excellent alternatives. All for free.

We never post fake jobs
This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

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