Remote Otter LogoRemoteOtter

Founding Recruiter - Remote

Posted 2 days ago
Human Resources
Full Time
USA

Overview

Clera is rethinking how top talent finds their next opportunity, working with leading startups in AI. We are looking for a Founding Recruiter to help scale U.S. searches.

In Short

  • Own high-impact, end-to-end searches for U.S.-based roles using Clera's AI platform.
  • Review AI-generated matches and identify the strongest talent.
  • Interview and qualify candidates, presenting high-signal shortlists to hiring managers.
  • Join client calls, clarify role requirements, and provide strategic hiring guidance.
  • Act as a partner to clients, challenging unclear expectations.
  • Own candidate pipelines end-to-end, ensuring fast movement through stages.
  • Provide structured feedback to improve matching logic and workflows.
  • Keep candidate notes and documentation accurate and reliable.
  • Prioritize multiple searches and drive them to successful hires.

Requirements

  • 3+ years recruiting for U.S. clients or roles.
  • Experience in fast-paced environments (startup or agency).
  • Strong client-facing presence and relationship-building skills.
  • Excellent English communication skills.
  • Ability to work aligned with Pacific Time (PST).
  • Comfort with tools, ATS, and AI-driven workflows.
  • Sharp judgment on skills and culture fit.
  • High ownership and reliability.

Benefits

  • Flexible schedule, 40–50 hours/week aligned with PST.
Clera logo

Clera

Clera is a technology company focused on simplifying data engineering through its open-source library, dlt. This innovative tool enables users to transform messy, unstructured data into structured datasets effortlessly, facilitating data movement to various SQL and vector stores, data lakes, and local engines like DuckDB. Clera aims to automate complex data tasks, making data handling accessible to anyone familiar with Python. The company is currently seeking freelance expertise to enhance its library by adding Iceberg support, indicating a commitment to continuous improvement and collaboration in the data engineering space.

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