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3 часа назад

Engineering Recruiter (AI)

120 000 - 180 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Engineering Recruiter (AI): Leading full-cycle technical hiring to build a world-class engineering team for a financial AI platform with an accent on elite sourcing and rigorous candidate assessment. Focus on designing high-signal interview processes and closing pivotal technical hires in a fast-paced startup environment.

Location: On-site in New York City

Salary: $120,000 – $180,000

Company

AI-driven platform transforming global finance by empowering professionals at top investment banks and private equity firms.

What you will do

  • Collaborate with engineering leaders to define roles and identify ideal candidate profiles.
  • Deploy innovative sourcing strategies to engage the industry's most impactful technical talent.
  • Design and execute disciplined interview cycles that sharply assess skill, drive, and mission alignment.
  • Manage the entire candidate lifecycle from initial screening to complex offer negotiations.
  • Act as a brand ambassador for the company's technical vision at industry events.
  • Optimize the recruiting framework using advanced analytics and manage external agency partnerships.

Requirements

  • 3+ years of technical recruiting experience, ideally within fast-growing tech companies.
  • Demonstrated success in sourcing and hiring for engineering roles.
  • Strong understanding of technical skill sets and engineering organizational structures.
  • Experience with Ashby, LinkedIn Recruiter, and modern sourcing tools.
  • Must be based in New York City to work on-site.

Culture & Benefits

  • Competitive base salary with additional equity and bonus opportunities.
  • Comprehensive medical, dental, and vision coverage.
  • Paid time off.
  • High-intensity startup environment with high talent density.
  • Opportunity to solve technically demanding problems at the intersection of AI and Wall Street.

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