Job Description

About The Opportunity

A fast-scaling AI-driven HR tech firm in the Future of Work sector, we deploy generative AI and large language models to automate and optimize end-to-end talent acquisition—from campus pipelines to lateral leadership hires. Our platform powers smart sourcing, bias-free screening, and predictive hiring for enterprise clients across Asia and the US. We're looking for an AI-savvy HR Executive who thrives at the intersection of talent, tech, and execution.

Role & Responsibilities

Design and execute end-to-end campus hiring cycles across engineering, data science, and product tracks using AI-assisted workflows and LLM-powered screening tools.
Source, engage, and convert lateral hires for mid-to-senior roles (Tech, Product, GTM) using AI-driven Boolean, LinkedIn Recruiter, and talent-matching platforms.
Partner with hiring managers to define role-specific AI screening parameters, interview rubrics, and candidate success signals.
Optimize hiring funnels using real-time LLM analytics—tracking drop-offs, offer acceptance rates, and time-to-hire KPIs.
Train and onboard recruiters on AI-powered ATS tools, resume parsing engines, and candidate chatbot interfaces.
Run A/B tests on job descriptions, outreach scripts, and interview flows using generative AI to boost conversion rates by 20%+.

Skills & Qualifications

Must-Have
LinkedIn Recruiter
ATS (Greenhouse, Lever, Workday)
Boolean Search
LLM Interview Scripting Tools
AI-Powered Sourcing Platforms
HR Analytics Dashboards
Hiring Funnel Optimization
Generative AI Prompt Engineering
Preferred
Experience with HR Tech Startups
Campus Hiring Program Management
Python for HR Automation (basic)

Benefits & Culture Highlights

Work with AI-native hiring tools and influence product roadmap with engineering teams.
Accelerated growth path: from Executive → Manager → AI Talent Lead in 18 months.
Hybrid culture: On-site core team days, flexible scheduling, and AI-driven performance reviews.

Skills: campus,ats,screening,linkedin,recruiter,hiring,analytics,platforms,sourcing,interview,linkedin recruiter