Talent Acquisition Manager

A Talent Acquisition Specialist role focused on hiring engineers and technical roles by operating and configuring an AI recruiter (Fabric). The role involves translating job requirements into AI configurations, calibrating models, running AI-first pipelines, ensuring quality and fairness, and partnering with hiring managers to deliver quality candidates.

Key Responsibilities

• Turn JDs into AI configurations by breaking down role requirements into structured inputs for Fabric
• Calibrate the AI model for each role with examples, criteria, and thresholds
• Run AI-first pipelines end-to-end from launching roles to moving candidates to final rounds
• Provide quality and fairness oversight by investigating false positives/negatives and refining prompts
• Supervise cheating detection by reviewing AI flags and validating evidence
• Source candidates via platforms like LinkedIn Recruiter and Naukri Recruiter when needed
• Partner with hiring managers to align on success criteria and deliver weekly hiring readouts
• Measure and improve metrics like time-to-first-screen, shortlist precision/recall, and source effectiveness

Skills & Requirements

Must Have Skills

• Technical recruiting (Backend/Frontend/Full-stack, Data/ML, QA, DevOps/SRE)
• Recruiting platforms (LinkedIn Recruiter, Naukri Recruiter)
• Google Sheets basics

Good To Have Skills

• Documentation practices
• Structured interview execution
• Scorecard building
• Data analysis and dashboard interpretation
• ATS/CRM workflow management
• Boolean search and talent mapping
• Engineering role assessment