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Terac

No-code AI for unstructured data automation

Founding Recruiter

Generalist Recruiting +1Posted on Nov 8
Full-timeSan Francisco, CA, USANo salary listed

About the Job

Requirements

  • Have 2–6+ years of recruiting experience, including meaningful time at a high-growth startup or top agency.
  • Have a track record of closing hard-to-hire engineering and go-to-market talent.
  • Have strong familiarity with LinkedIn Recruiter, Ashby or a similar applicant tracking system, and modern sourcing tools.
  • Demonstrate strong judgment and the ability to prioritize under pressure.

Responsibilities

  • Own full-cycle recruiting across every function, including sourcing, outreach, screening, interview coordination, references, and closing.
  • Source candidates through LinkedIn, Juicebox, referrals, investor networks, events, and other channels.
  • Sell candidates on Terac's vision, run offer conversations alongside the founders, and deliver a positive candidate experience whether or not they join.
  • Build hiring processes and infrastructure, including interview loops, scorecards, Ashby workflows, pipeline metrics, and an employer brand.
  • Run recruiting events, including dinners, hackathons, and campus outreach, to build long-term talent pipelines.

Desired Qualifications

  • Experience as an early or first recruiter at a startup and scaling a team through hypergrowth.
  • Experience with marketplaces, artificial intelligence, or technical hiring.

About the Company

Terac

No-code AI for unstructured data automation

Terac provides a no-code AI platform that automates the handling of unstructured data, turning emails and documents into structured, actionable information. Users build, manage, and scale AI-driven automation for tasks like document classification, data extraction, and email processing without needing extensive AI expertise or large training datasets. Compared with traditional AI tools, Terac focuses on a no-code, end-to-end approach for unstructured data, letting teams deploy automations without coding or separate data-extraction components. Its goal is to improve operational efficiency by reducing manual, repetitive work and speeding up information processing across workflows.

Company size
1-10
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
2025

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