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Rowspace

Finance-native AI platform for investment decisioning

Product Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • You have shipped full-stack products before, using React/TypeScript and Python/Node or similar technologies.
  • You have designed data models and APIs at scale.
  • You are excited about productionizing AI and building reliable products that deliver value to customers.
  • You care about engineering craft, continuously improving workflows, sharing learnings with the team, and raising quality standards.
  • You are genuinely curious about how investors think and work; finance or fintech experience is a bonus, not a requirement.

Responsibilities

  • Design and build intuitive user interfaces embedded in investors’ daily workflows.
  • Build APIs that enable Rowspace to work across chat tools, custom workflows, and external applications such as ChatGPT, Claude, and Excel.
  • Build ingestion pipelines that transform PDFs, emails, spreadsheets, and structured data into a unified knowledge engine.
  • Talk directly with customers, understand their pain points, and ship solutions within days.
  • Maintain high standards of security, privacy, and system reliability while working with sensitive investment data.
  • Build comprehensive evaluation sets to ensure the reliability of the company’s large language model systems.

Desired Qualifications

  • Experience in finance or fintech.

About the Company

Rowspace

Finance-native AI platform for investment decisioning

Rowspace is a financial-AI platform that helps large investment teams make better decisions by organizing both structured data (like models and spreadsheets) and unstructured information (memos, emails, legacy systems) into a finance-focused view. It works by connecting data from across a firm and running analyses inside the customer’s own environment, so proprietary information stays under the client’s control. The product integrates with tools like Excel and Microsoft Teams, and enables portfolio monitoring, review of historical deals, and optimization of credit books using AI tailored to finance. Rowspace differentiates itself by keeping data on the client side, offering a finance-native data model, and targeting enterprise asset managers with high-value contracts, rather than relying on cloud-only solutions. The company’s goal is to empower investment teams to extract precise insights from their own data and improve decision-making while maintaining data security and control.

Company size
11-50
Company stage
Series A
Total funding
$50M
Headquarters
San Francisco, CA
Founded
2024

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