Recruiter at talentpluto | CA, US | Rezi

Recruiter at talentpluto

Recruiter

talentpluto · CA, US

3 weeks ago

Recruiter

talentpluto · CA, US

25 days ago
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About the Role

This is an in-house recruiting seat at a fast-growing AI data company. The recruiting team is responsible for hiring across technical and operational roles, with recruiters owning their searches end-to-end. You will recruit from competitive talent pools and work directly with founders and senior leaders, with significant autonomy to build the recruiting function.

Responsibilities

  • Own full-cycle recruiting for technical or operational roles, from search strategy through close.
  • Identify, attract, and close candidates from competitive talent pools in finance, consulting, and technology.
  • Partner directly with founders and senior leaders to scope roles and calibrate the hiring bar.
  • Build recruiting process and infrastructure where it does not exist yet.
  • Move quickly without dropping quality as priorities shift with the business.

Requirements

  • 2-5+ years of recruiting experience spanning both agency and in-house environments.
  • Demonstrated track record of identifying, attracting, and closing strong talent in competitive markets.
  • Experience recruiting for, or familiarity with, finance, consulting, private equity, or operationally rigorous business roles.
  • Startup experience, with comfort building where a lot is not yet built out.
  • Strong written and verbal communication, with the credibility to engage founders and senior leaders directly.
  • High agency, low ego, and genuine interest in the thesis that the future of AI is bottlenecked on human data.
  • Able to work onsite in San Francisco five days per week.

Location

  • San Francisco, CA

Work Type

  • Onsite
  • Full-time

Experience Level

  • 2-5+ years

Salary/Compensations

  • Competitive salary + equity

About the Company

  • Partner is one of the fastest-growing AI data companies in the market, building the human-data layer that frontier AI labs depend on.
  • Company focuses on high-quality reinforcement-learning environments and agents that let models learn to do real work.
  • Grew from under twenty people to roughly fifty in a matter of months.
  • Reached a nine-figure run rate.
  • Customers include the best-known names in AI research.