Talent AI Operator

About the Role This is a brand-new type of role at an early-stage AI-native recruiting company. We build autonomous AI agents that find candidates, write personalized outreach, handle conversations, qualify fit, and schedule interviews — end to end. We've grown to a marketplace of tens of thousands of candidates and serve hundreds of startup customers. As a Talent AI Operator , you're not a traditional recruiter. You're the human who makes autonomous recruiting actually work. Think air traffic controller, not pilot. Our AI agents handle the volume; your job is to supervise them, catch edge cases, step in for high-judgment moments, and close candidates who need a human touch. This is a defining, ground-floor opportunity to shape what AI-native recruiting operations looks like at scale. What You'll Do Supervise AI agent pipelines: Monitor live candidate conversations, flag errors, and intervene when human judgment is required. Handle high-stakes moments: Engage senior candidates, navigate tricky objections, and manage compensation negotiations — the conversations where humans still win. Train the agents: Review agent outputs, label good and 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 offers, and ensure successful hires. Build the playbook: Document what works, create SOPs, and help define how humans and AI agents collaborate most effectively. Growth Path This role is a proving ground. Strong performers can move into: Account Lead: Own client relationships and agent performance for key accounts. Agent Training Lead: Own the feedback loop that continuously improves our AI. Operations Lead: Build and manage the broader operations team as we scale. What We're Looking For Required: 2+ years of talent operations or recruitment experience, ideally at early-stage tech startups (pre-seed/seed). Proven ability to design and optimize end-to-end recruitment processes — sourcing, screening, interview coordination, offer management, and candidate experience. Experience using data to inform recruitment decisions (KPIs, dashboards, A/B tests, experiments). Strong communication and collaboration skills; comfortable working cross-functionally with product, engineering, design, and leadership. Willingness to work on-site in San Francisco as needed (optional hackerhouse accommodation available). Nice to Have: Experience at AI/ML-oriented startups with an understanding of AI-focused hiring needs. Familiarity with modern tech stacks (TypeScript/JavaScript, Python, React, Node.js, PostgreSQL) to communicate effectively with engineering teams. Compensation & Benefits Base salary: Competitive, commensurate with experience. Performance-based compensation: Uncapped bonus tied to placements — top performers earn significantly more. Equity: Performance-based equity grants available after a successful 90-day window, with potential for meaningful ownership as scope expands. Health insurance. Visa sponsorship available. Optional: on-site living and working at a company hackerhouse in San Francisco. Location This role is open to remote candidates (US-based preferred) with the ability and willingness to work on-site in San Francisco, CA as needed. Los Angeles, CA is also a supported location. Visa sponsorship is available.