University Recruiting Manager (AI Infrastructure)

Location: On-site in New York, NY; Austin, TX; or San Francisco, CA

Salary: $209,000–$263,000 per year, plus equity

Company

hirify.global builds and operates large-scale compute infrastructure for frontier AI, including power acquisition, data center design, construction, and operations across hardware and software.

What you will do

• Build hirify.global's early-careers function from zero and lead full-cycle recruiting for intern and new graduate roles.
• Design university recruiting strategies by developing relationships with target schools, faculty, and student organizations.
• Co-design and implement internship and new graduate programs with Talent Acquisition, Compensation, and TA Operations.
• Plan and execute campus and virtual recruiting events to drive early engagement and employer brand awareness.
• Screen early-career candidates and assess potential, intellectual capability, and alignment with the company mission.
• Build hiring infrastructure, evaluation rubrics, program playbooks, and reporting for a scalable early-talent funnel.

Requirements

• Experience building or materially scaling a university recruiting program with measurable outcomes.
• Ability to design long-term talent programs and sustainable university pipelines.
• Strong judgment in evaluating early-career candidates beyond academic credentials.
• Ability to create structure from ambiguity and develop recruiting playbooks independently.
• Experience measuring pipeline conversion, source quality, and intern-to-full-time conversion.

Nice to have

• University recruiting experience in AI, infrastructure, or highly technical markets.
• Experience building early-career programs at high-growth or zero-to-one companies.
• Employer brand strategy experience focused on university recruiting.
• Willingness to travel during peak recruiting cycles.

Culture & Benefits

• Competitive compensation combining salary and equity.
• Retirement or pension plan in line with local norms.
• Health, dental, and vision insurance.
• Generous paid time off policy in line with local norms.
• Culture emphasizing ownership, velocity, first-principles thinking, and high-intensity work on frontier AI infrastructure.