
Talent AI Operator
Job description
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.