Talent AI Operator

### About the Role This is a brand-new kind of role at a fast-growing, pre-seed AI-native recruiting platform operating at marketplace scale — with tens of thousands of candidates and hundreds of startup customers already on the platform. The company builds autonomous AI agents that handle end-to-end recruiting: sourcing, personalized outreach, candidate conversations, qualification, and interview scheduling. As a **Talent AI Operator**, you are not a traditional recruiter. You are the human layer that makes autonomous recruiting actually work. Think _air traffic controller, not pilot_. The AI handles volume; you provide judgment, oversight, and precision at the moments that matter most. You'll help define what AI-native recruiting operations looks like as this team scales. ### What You'll Do * **Supervise AI agent pipelines:** Monitor live candidate conversations, flag errors, and intervene when the agent requires human judgment. * **Handle high-stakes moments:** Senior candidates, tricky objections, compensation negotiations — conversations where human touch still wins. * **Train the agents:** Review agent outputs, label good/bad responses, and write examples that make the AI smarter over time. * **Quality control at scale:** Audit candidate matches, outreach quality, and conversion rates across thousands of weekly touchpoints. * **Close placements:** Guide candidates through final stages, manage offer conversations, and ensure successful hires. * **Build the playbook:** Document what works, create SOPs, and define how humans and AI agents collaborate effectively. ### What We're Looking For ### Required: * 2+ years of talent operations, recruitment, or sourcing experience at early-stage tech startups (pre-seed/seed stage) * Extensive hands-on experience using AI tools (e.g., Claude, ChatGPT, or similar) to evaluate output 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) * Experience closing placements and managing final-stage candidate conversations including offer negotiation and objection handling * Experience training, labeling outputs, or providing structured feedback to improve AI/ML systems or agent performance * Data-informed mindset: comfortable working with KPIs, dashboards, A/B tests, and conversion rate analysis * Strong communication and collaboration skills; proven ability to work cross-functionally with product, engineering, design, and leadership * Ability to work on-site in San Francisco as needed (hackerhouse option available) ### Nice to Have: * Experience at AI/ML-focused startups or with AI-native hiring processes * Familiarity with modern tech stacks (TypeScript/JavaScript, Python, React, Node.js, PostgreSQL) to communicate effectively with engineers * Experience documenting processes, creating SOPs, or building operational playbooks ### Growth Path This role is a proving ground. Strong performers can grow into: * **Account Lead:** Own client relationships and agent performance for key accounts * **Agent Training Lead:** Own the feedback loop that continuously improves the AI * **Operations Lead:** Build and manage the broader ops team as the company scales ### Compensation & Benefits * ### Competitive base salary * Uncapped performance-based compensation tied to successful placements — top performers earn significantly more * **Performance-based equity:** Equity grants available to top performers after a successful 90-day window, with potential for meaningful ownership as scope expands * ### Health insurance * ### Visa sponsorship available * Optional: live and work from the company's San Francisco hackerhouse ### Location Primary location: **Los Angeles, CA** or **San Francisco, CA**. Hybrid work arrangement with on-site availability expected. Visa sponsorship is available. Originally posted on [Himalayas](https://himalayas.app)