Talent AI Operator

About the Role This is a first-of-its-kind operations role at a pre-seed AI recruiting startup: you're the human layer that makes autonomous recruiting agents work at scale. Sitting at the intersection of talent operations and AI quality control, you'll supervise agent pipelines, step in for high-judgment moments, and help define what AI-native recruiting looks like as the product grows. What You'll Do Monitor live AI agent candidate pipelines, flag errors, and intervene when human judgment is needed. Handle high-stakes conversations — senior candidates, compensation negotiations, and tricky objections — where a human touch wins. Review agent outputs, label good and bad responses, and write training 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 close. Document what works, write SOPs, and help build the operational playbook for humans and agents working together. What We're Looking For 2+ years in talent operations, recruitment, or sourcing at early-stage tech startups (pre-seed or seed stage). Proven ability to design and optimize end-to-end recruitment processes — sourcing, screening, coordination, offer management, and candidate experience. Hands-on experience using AI tools (e.g. Claude, ChatGPT, or similar) to evaluate quality, identify errors, and understand AI capabilities and limitations. Experience monitoring and quality-assuring high-volume candidate pipelines (hundreds to thousands of weekly touchpoints). Comfort using data to drive decisions — KPIs, dashboards, A/B tests, and conversion rate analysis. Experience training, labeling, or providing feedback to improve AI/ML systems or agent outputs. Strong cross-functional communication skills; able to work fluidly with product, engineering, and leadership teams. Nice to have: Familiarity with TypeScript/JavaScript, Python, React, Node.js, PostgreSQL, or Supabase for effective collaboration with engineers. Nice to have: Background in AI/ML-focused startups or experience with AI-native hiring workflows. Compensation & Benefits Competitive base salary plus uncapped performance-based compensation tied to placements — top performers earn significantly more. Performance-based equity grants are available after a successful 90-day window. Additional benefits include health insurance and visa sponsorship. Location Hybrid role based in San Francisco, CA . On-site presence at the SF office is expected; remote flexibility is available. Fully remote candidates based in the US are also considered.