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Rowspace

Finance-native AI platform for investment decisioning

Technical Recruiter

Technical RecruitingConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • At least 3 years of full-cycle recruiting experience.
  • Ability to evaluate engineering pipelines and partner with technical hiring managers.
  • Ability to use artificial intelligence and agentic coding tools to automate recruiting workflows and improve productivity.
  • Ability to assess candidates for skills and culture fit.
  • Ability to work effectively with ambiguity and pace while maintaining candidate and hiring manager experience.
  • Familiarity with modern recruiting tools.

Responsibilities

  • Build talent pipelines and recruiting processes from the ground up.
  • Recruit, source, and close technical and non-technical candidates.
  • Partner with technical and non-technical hiring managers to translate their needs into job descriptions and interview processes that attract candidates.
  • Shape the company's employer brand in the market.

Desired Qualifications

  • Experience in a high-growth startup environment.
  • Knowledge of Ashby recruiting software.
  • Experience recruiting for go-to-market or finance-adjacent roles.
  • Curiosity about financial technology or artificial intelligence.

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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