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Talent AI Operator

CleraSan Francisco🇺🇸United StatesPosted Oct 14, 2026

Why This Role Stands Out

This role offers a unique opportunity to be at the forefront of AI innovation in talent operations, directly shaping the future of recruiting. You'll thrive if you have a passion for problem-solving, a knack for human interaction, and experience in recruiting or AI evaluation. Apply to join a forward-thinking team and make a significant impact!

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
On Site
Location
San Francisco, United States
Posted
Yesterday
Node.jsSupabaseMachine LearningJavaScriptOutreachPostgreSQLPythonReactRecruitingSourcingTypeScript

Job Description

About the Role

Help a team building AI-powered recruiting tools make autonomous talent operations work reliably at scale. You will supervise AI agent activity, handle conversations that need human judgment, and help improve how people and AI work together in recruiting.

What You'll Do

  • Monitor candidate conversations and intervene when an AI agent needs human judgment.

  • Handle high-stakes conversations with senior candidates, including objections and compensation negotiations.

  • Review agent outputs, label strong and weak responses, and provide feedback to improve performance.

  • Audit candidate matches, outreach quality, and conversion data across recruiting pipelines.

  • Guide candidates through final stages, manage offers, and help close placements.

  • Document effective practices, create operating procedures, and build playbooks for human and AI collaboration.

What We're Looking For

  • At least 2 years of experience in talent operations, recruiting, or sourcing, ideally at an early-stage technology startup.

  • Hands-on experience with AI tools such as Claude, ChatGPT, or similar, including evaluating quality and identifying errors and limitations.

  • Experience managing final-stage candidate conversations, negotiating offers, and handling objections.

  • Comfort using recruiting metrics, dashboards, experiments, or conversion analysis to inform decisions.

  • Experience providing feedback or labeling outputs to improve AI or machine learning systems.

  • Ability to work cross-functionally with product, engineering, and leadership teams. Familiarity with JavaScript or TypeScript, Python, React, Node.js, PostgreSQL, or Supabase is helpful.

Compensation & Benefits

Competitive base pay and uncapped, placement-based performance compensation. Performance-based equity may be available based on results and expanding scope. Health insurance and visa sponsorship are available.

Location

Hybrid role based in San Francisco, California.

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