AI-Powered Recruiting Operator

Wwshemi; San Francisco (CA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Visa sponsorship

Job summary

Wwshemi is building AI-powered recruiting tools for startups in San Francisco. You will oversee autonomous recruiting workflows, stepping in when human judgment is needed and helping shape how people and AI collaborate across candidate pipelines.

You will monitor AI conversations, handle high-stakes candidate discussions, and ensure quality by labeling outputs and reviewing agent responses. This role blends people workflow with product in a startup setting.

Qualifications

• 2+ years in talent operations, recruiting, or sourcing at an early-stage tech startup.
• Hands-on with AI tools (e.g., ChatGPT) to evaluate output quality and limitations.
• Experience closing placements and negotiating offers with late-stage candidates.
• Able to use KPIs, dashboards, and A/B tests to inform decisions.
• Experience labeling AI outputs to improve performance.
• Comfort collaborating with product, engineering, and leadership in a startup.

Responsibilities

• Monitor candidate conversations and intervene when AI errors occur.
• Handle high-judgment conversations with senior candidates, incl. offers.
• Review and label agent responses to guide improvements.
• Audit matches, outreach quality, and pipeline conversion with recruiting metrics.
• Guide candidates through final stages, manage offers, and close placements.
• Document workflows and build SOPs and playbooks.

Skills

AI recruiting

Talent operations

Closing placements

KPIs & dashboards

Cross-functional collaboration

Tools

TypeScript

JavaScript

Python

React

Node.js

PostgreSQL

Supabase

Job description

Wwshemi is building AI-powered recruiting tools for startups in San Francisco. You will oversee autonomous recruiting workflows, stepping in when human judgment is needed and helping shape how people and AI collaborate across candidate pipelines.

You will monitor AI conversations, handle high-stakes candidate discussions, and ensure quality by labeling outputs and reviewing agent responses. This role blends people workflow with product in a startup setting.