2.0 - 4.0 years

0 Lacs

bengaluru, karnataka, india

On-site

Talent Acquisition Manager (AI-First Recruiting) Location: Bengaluru (hybrid) Experience: 24 years | Function: Talent Acquisition (Technical) Type: Full-time | Role: Individual contributor (with scope to lead as team scales) Why this role Help us hire engineers and other technical roles by operating and configuring our AI recruiter (Fabric) . Instead of running a traditional, manual-heavy process, youll translate role requirements into AI configurations, prompts, rubrics, and thresholds so the tool can source, screen, interview, and prioritize candidates fasterwith you owning quality and outcomes. What youll do Turn JDs into AI configs: Break down role requirements (skills, seniority, signals, red flags) into structured inputs, weights, and scoring rules for Fabric. Calibrate the model for each role: Provide few-shot examples, define knockout criteria, tune pass thresholds, and iterate until shortlists match hiring-manager expectations. Run AI-first pipelines end-to-end: Launch roles, monitor dashboards, review AI interview summaries, spot-check edge cases, and move high-signal candidates to final rounds. Quality & fairness oversight: Investigate false positives/negatives, refine prompts, and maintain consistent, bias-aware evaluation rubrics. Cheating detection supervision: Review AI flags, validate evidence, and adjust policies to keep signal clean. Sourcing via platforms (as needed): Use LinkedIn Recruiter and Naukri Recruiter to top up the funnel; feed sourced profiles back into Fabric for consistent evaluation. Partner with hiring managers: Run quick role-intake sessions, align on success criteria, and deliver weekly hiring readouts with clear next actions. Measure and improve: Track time-to-first-screen, shortlist precision/recall, onsite-to-offer, source effectiveness; run small experiments to improve conversion. What success looks like (first 90 days) Intake-to-first shortlist in ?48 hours for priority roles. ?80% of applicants screened end-to-end by AI with your calibrated rubric. Shortlist quality that hiring managers rate ?8/10 on relevance. A simple playbook for repeating configurations across similar roles. Youll thrive if you have 24 years in technical recruiting (e.g., Backend/Frontend/Full-stack, Data/ML, QA, DevOps/SRE, Platform), with clear closures you can speak to. Hands-on with LinkedIn Recruiter and Naukri Recruiter (projects, advanced Boolean, talent mapping)comfortable sourcing when needed. Strong grasp of how to assess engineering roles (signals in resumes/portfolios, what good looks like at 03/35/58 years, common pitfalls). Product mindset and clear writing: you can turn messy requirements into crisp prompts, rules, and checklists. Data literacy: comfortable reading dashboards, comparing cohorts, and making changes based on evidence. Startup experience and bias for speed; Bangalore market exposure is a plus. Nice to have Familiarity with ATS/CRM workflows and clean documentation habits. Basics of JSON/Google Sheets ; light SQL is a plus. Experience running structured interviews or building scorecards. What we offer A front-row seat to AI-driven recruiting, with real ownership of outcomes. Direct access to founders and product; your feedback ships. Competitive salary with growth path into Lead/Head of TA (AI Ops). Show more Show less

Posted 6 days ago

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