Backed by Sequoia.
About 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. Design and build intuitive user interfaces that become deeply embedded in investors’ daily workflows
What they're looking for
- 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
- You want to be early. This is a chance to be among the first 20 engineers at a fast-growing Series-A startup with high ownership, high impact, and high iteration speed
More about this 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.
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
You’ve shipped full-stack...
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