Associate Director, Talent Acquisition (AI)

Location: Remote in the USA; candidates near hirify.global offices may choose a hybrid schedule with office attendance on Tuesdays and Wednesdays. Travel to hirify.global offices or for business needs is required 2–4 times per year.

Salary: $56,000–$100,000 per year, adjusted based on location, experience, qualifications, and market data.

Company

hirify.global is a self-sustaining nonprofit focused on expanding educational and career opportunities.

What you will do

• Own full-cycle recruiting from intake through offer acceptance for a steady volume of non-technical roles across corporate, academic, and operations functions.
• Define competencies, success profiles, evaluation criteria, interview guides, and candidate exercises with hiring managers.
• Source and engage passive candidates through targeted outreach and relationship building.
• Use automation and AI-enabled tools to streamline sourcing, screening, scheduling, and communication.
• Manage recruiting pipelines, hiring progress, offers, negotiations, and candidate closing.
• Advise hiring managers using market data, structured debriefs, recruiting metrics, and talent strategy insights.

Requirements

• 3–5 years of full-cycle recruiting experience.
• Experience sourcing, screening, interviewing, and closing candidates in a steady, high-volume environment.
• Strong relationship-building, organization, time-management, communication, and stakeholder-management skills.
• Working knowledge of HR principles, employment practices, and confidentiality requirements.
• Experience with applicant tracking systems; Workday experience is preferred.
• Authorization to work in the United States and willingness to travel 2–4 times per year are required.

Nice to have

• Corporate or education recruiting experience.
• Experience or interest in education or nonprofit environments.
• Workday experience.

Culture & Benefits

• Mission-driven work focused on educational and career opportunities.
• Collaborative, consultative, data-driven, and service-oriented working environment.
• Support for continuous learning, experimentation, and adoption of emerging technologies and AI-enabled tools.
• Compensation practices grounded in qualifications, experience, impact, fairness, transparency, and market data.
• Location-adjusted salary and transparent discussions about compensation and benefits.

Hiring process

• Resume and application review, followed by a recruiter phone or video screen.
• Hiring manager interview, performance exercise, panel interview, leadership conversation, and reference checks.
• Applications are reviewed immediately and accepted for at least five business days until the position is filled.