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