Technical Recruiter (AI)

TL;DR

Technical Recruiter (AI): Managing full-cycle technical searches for a high-growth causal AI platform with an accent on closing top-tier engineering talent in a competitive market. Focus on building structured hiring processes, partnering with engineering leadership, and leveraging AI-native tools to scale the team.

Location: Must be based in San Francisco and able to work on-site 5 days a week

Compensation: $125,000 – $160,000 + Equity

Company

hirify.global is a pioneering Causal AI platform helping Fortune 100 companies prove business outcomes, backed by $145M in Series B funding and operating on one of the world's fastest private supercomputers.

What you will do

• Own and close 6–8 full-cycle technical searches simultaneously, including backend, infrastructure, and data engineering roles.
• Partner directly with engineering leadership to define requirements and calibrate hiring scorecards.
• Drive structured hiring loops to ensure speed and quality, maintaining same-week feedback cycles.
• Pitch the company's causal AI mission and technical infrastructure to senior engineering candidates.
• Diagnose and optimize recruiting funnels using data-driven insights.
• Experiment with and implement new AI-native recruiting tools to improve efficiency.

Requirements

• 5+ years of full-cycle technical recruiting experience in software, infrastructure, or ML.
• Proven track record of closing high-bar technical candidates against stronger brands.
• Consultative approach with the ability to push back on hiring teams based on evidence.
• Strong communication skills with a high content-to-word ratio and zero fluff.
• Must be able to work on-site in San Francisco 5 days a week.
• Data proficiency and a proactive, AI-native mindset toward recruiting practices.

Culture & Benefits

• Meaningful equity ownership in a well-funded, high-growth Series B company.
• Structured, evidence-based hiring environment with a focus on speed and excellence.
• Direct, sharp communication culture where writing and brevity are valued.
• Opportunity to build the talent function from the ground up as the organization doubles.
• Access to cutting-edge AI tools and a culture that encourages experimentation.