About the role

The Role

Full Stack Engineers at Rowspace are at the heart of building our product. You'll shape the platform from the ground up. In a typical week, you might build a pipeline that turns 50-page investment memos into searchable knowledge in seconds, design a UI that helps analysts trace AI answers back to source documents, or ship a custom agent workflow based on feedback you heard from a customer that morning.

What You'll Do

Design and build intuitive user interfaces that become deeply embedded in investors’ daily workflows
Build APIs that allow Rowspace to work seamlessly across chat tools, custom workflows, and external applications—such as ChatGPT, Claude, and Excel
Build ingestion pipelines that turn messy, scattered data, such as PDFs, emails, spreadsheets, structured data, into a unified knowledge engine that underlies all of our products
You'll talk directly to customers, hear their pain points firsthand, and ship solutions within days
You will be responsible for maintaining the highest standards of security, privacy, and system reliability as you work with sensitive investment data
You will build comprehensive eval sets to ensure the reliability of our LLM systems

Who You Are

You’ve shipped full-stack products before (React/Typescript + Python/Node or similar)
You’ve designed data models and APIs at scale and enjoy the challenge of getting the schema right
You’re excited about productionizing AI, not just using LLMs, but building reliable products to deliver value to customers
Bonus if you’ve touched finance or fintech, but we’ll teach you the domain if you’re a fast learner who’s genuinely curious about how investors think and work
You care deeply about engineering craft—continuously improving your workflows, sharing learnings with your team, and raising the bar for quality

The best investors we know have built something over years and decades that's impossible to replicate: institutional memory of how they think and operate. It lives in memos, models, investment committee notes, emails, deal history, and trading data — scattered across systems that hold the patterns of what worked, what didn't, and why. That accumulated knowledge and how they apply it is their edge.

The problem is, it's trapped. It's messy and conflicting. It's locked behind stringent security and compliance controls. And most AI tools can't extract its meaning, much less scale it. That's the challenge we're taking on at Rowspace.

The firms we speak to know they need to drive AI transformation on an aggressive timeline. We've seen close up that AI is useless without the right data to act on. With public data increasingly commoditized, maintaining your edge demands a way to scale the judgment and insight latent in all the proprietary data your firm possesses.

Rowspace is launching to provide exactly this: specialized intelligence for investors to make faster, sharper decisions. We're thrilled to do it with $50M in backing from Sequoia, Emergence, Stripe, Conviction, Basis Set, Twine, and angels from across finance.

Product Engineer

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