Talent AI Operator

About the Role

This is a first-of-its-kind operations role at a pre-seed AI recruiting startup, sitting at the intersection of human judgment and autonomous agent technology. You will be the person who makes AI-driven recruiting actually work at scale, supervising intelligent agents that source, message, and qualify candidates end to end. The role carries real influence: you will help define what AI-native talent operations looks like as the company grows.

What You'll Do

• Monitor live AI agent pipelines, flag errors, and intervene when human judgment is needed.

• Handle high-stakes candidate conversations, including senior roles, tricky objections, and compensation negotiations.

• Review agent outputs, label good and bad responses, and write examples that improve AI performance over time.

• Audit candidate matches, outreach quality, and conversion rates across thousands of weekly touchpoints.

• Guide candidates through final stages, manage offers, and ensure successful placements.

• Document what works, create standard operating procedures, and help define how humans and agents collaborate.

What We're Looking For

• 2+ years in talent operations, recruitment, or sourcing at early-stage tech startups.

• Hands-on experience using AI tools (large language models or similar) to evaluate quality, identify errors, and understand AI capabilities and limitations.

• Proven ability to design and optimize end-to-end recruitment processes: sourcing, screening, interview coordination, offer management, and candidate experience.

• Experience monitoring and quality-assuring high-volume candidate pipelines (hundreds to thousands of weekly touchpoints).

• Track record closing placements and managing final-stage conversations, including offer negotiation and objection handling.

• Comfort using data to drive decisions: KPIs, dashboards, A/B tests, and conversion rate analysis.

• Experience providing structured feedback to improve AI or ML systems.

• Ability to work cross-functionally with product, engineering, and leadership teams in a startup environment.

• Familiarity with TypeScript, JavaScript, Python, React, Node.js, PostgreSQL, or similar technologies is a plus for communicating effectively with engineers.

• Experience documenting processes or building operational playbooks is a plus.

Compensation & Benefits

Competitive base salary plus uncapped performance-based compensation tied to placements. Top performers earn significantly more. Equity grants are available after a successful 90-day performance window. Benefits include health insurance and visa sponsorship.

Location

Hybrid, based in San Francisco, California. Optional access to a shared team workspace in the city. Remote candidates within the United States will also be considered.