As our first Data Systems Engineer, you9ll own the foundation under every decision we make: what data lands, what our reports say, and what we offer to consumers. When the data is right, someone in their hardest financial moment gets an offer that fits their life. When it9s wrong, they get the wrong balance, the wrong call, or nothing at all.
About the RoleWe9re hiring our first data systems engineer. Data is the most valuable thing January has: 20 million consumers, $20 billion in debt, and every record behind them. Every decision we make about a consumer starts with our data.
As we grow our business, it9s critical that our data system scales with it. The data that powers collections now has to power every stage of consumer credit. You9ll decide what that foundation looks like and how it grows.
This is a blank page. What gets built, in what order, and how this function interacts with downstream consumers is yours to decide. You9ll set the standard for how we treat our data: trusted by default, understood by everyone who touches it, and increasingly able to look after itself.
Engineers, analysts, ops, and product all depend on what you build. You9ll set the standards that let them make good calls on data without you in the room.
You thrive on obsessing over data quality and infrastructure, and you move fast to improve both.
What We Need- You9ve built and owned a data pipeline end to end.
- You design for failure. Safe replayability, recovery that self heals where possible and has a clear runbook when it doesn9t
- You treat data quality as a key indicator of pipeline health
- You can own migrating a legacy system into a durable data pipeline by identifying the highest impact opportunities first, and you know when to build vs. buy.
- You9ve collaborated with multiple stakeholders/data consumers, with an ability to manage asks and hold boundaries where they need to be held
- You draw ownership lines through writing and influence instead of authority, and explain tradeoffs equally well to engineers and non-engineers.
- You already use AI deeply in your own work and want to go further, including by architecting systems that repair themselves.
- You love building 0 to 1, and you want the shape of a function to be yours.
- 4+ years in software engineering, data engineering or data platforms.
How We Work- Decentralization beats control. The best calls get made by the people closest to them, not routed up a chain. You9ll set the standards that let the team decide without you in the room.
- Speed beats perfection. You run tight loops, act at 70% on reversible calls and adjust as you learn. Fast loops beat slow ones.
- Candor beats comfort. You9d rather hear a hard truth early than a polite sidestep that wastes everyone9s time.
- Writing beats the average meeting. Clarity scales.
- AI runs through everything here. We built our own code reviewer that beats the alternatives. Our voice AI handles most inbound calls with zero hallucinated payments. Engineers ship 3-4x the PRs they used to. You9ll push it further into the work than almost any company you9ve worked at.
- We operate at every altitude. No one here lives only on Mount Olympus, not even the leaders. We get into the trenches to learn the ground truth, then refine our information flows so ground truth climbs as fast as direction comes down.
- We build in person, at least three days a week in our office in Nolita, with a growing group coming in every day. Random run-ins cross-pollinate ideas. Face time builds trust no thread can. Building alongside people makes work far more fun.
We are currently hiring for this position in our New York office.As a New York City-based company, we are dedicated to transparent, fair, and equitable compensation practices that reflect our commitment to fostering an environment where all team members are valued and supported. We encourage individuals from all backgrounds to apply.
