Product Engineer

Posted One Month Ago
Be an Early Applicant
2 Locations
In-Office
150K-300K Annually
Mid level
Artificial Intelligence • Software • Business Intelligence • Financial Services
The Role
Build full-stack product features and ingestion pipelines to convert messy investment data into a unified knowledge engine. Design scalable data models and APIs, ship UI and custom agent workflows, maintain security and reliability for sensitive investment data, engage directly with customers, and create evaluation sets for LLM systems.
Summary Generated by Built In
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

  • 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

Perks & Benefits
  • Health & Wellness: Comprehensive medical, dental, and vision insurance

  • Future Planning: 401(k) plan including employer match on contributions made while employed by Rowspace

  • Food & Fuel: Monthly commuter stipend, plus free daily lunch and a fully stocked snack bar in the office

  • Team Culture: Regular team offsites to bond and strategize away from the desk

Skills Required

  • Shipped full-stack products before (React/TypeScript + Python/Node or similar)
  • Designed data models and APIs at scale
  • Experience productionizing AI and building reliable LLM-powered products
  • Built ingestion pipelines for PDFs, emails, spreadsheets, and structured data
  • Maintained high standards of security, privacy, and system reliability for sensitive data
  • Built comprehensive evaluation sets for LLM systems
  • Customer-facing experience; able to gather feedback and ship solutions quickly
  • Experience in finance or fintech
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The Company
18 Employees
Year Founded: 2024

What We Do

Rowspace is an AI software company that helps investment firms turn siloed institutional data—such as memos, models, investment committee notes, emails, deal history, trading data, and financial records—into a bespoke layer of trusted intelligence. Its platform models how each firm evaluates information, reconciles conflicting data, and supports complex analytical and decision-making workflows across credit, private equity, and other investment strategies.

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