Talent AI Operator

Visa Hunt; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Visa sponsorship available

SF hackerhouse

Job summary

Visa Hunt is building a new era of AI-native recruiting at marketplace scale. As a Talent AI Operator, you will supervise AI agent pipelines, guide high-stakes conversations, and shape how humans and AI collaborate to close roles.

This role centers on judgment and precision, training AI outputs, and scaling playbooks while partnering with product, engineering, and leadership. On-site in San Francisco or Los Angeles preferred, with hybrid options.

Qualifications

• 2+ years in talent operations, recruitment, or sourcing at early-stage tech startups.
• Hands-on experience with AI tools (Claude, ChatGPT) for quality evaluation.
• Experience designing end-to-end recruitment processes and candidate experience.
• Ability to monitor high-volume candidate pipelines and weekly touchpoints.
• Proven track record in offer negotiations and closing placements.
• Experience labeling outputs and providing structured feedback to AI/ML systems.
• Data-driven with KPIs, dashboards, A/B tests, and conversion analysis.
• Strong cross-functional collaboration with product, engineering, design, and leadership.

Responsibilities

• Supervise AI agent pipelines: monitor conversations, flag errors, and intervene when needed.
• Handle high-stakes moments: negotiations and candidate objections with a human touch.
• Train the agents: review outputs, label quality, and craft examples to improve AI.
• Quality control at scale: audit matches, outreach quality, and conversion rates.
• Close placements: guide candidates through final steps and offers.
• Build the playbook: document processes and define human-AI collaboration.

Skills

Talent operations

AI tools

End-to-end recruitment

High-volume pipelines

Offer negotiation

AI training feedback

Data-driven

Cross-functional collaboration

Tools

TypeScript/JavaScript

Python

React

Node.js

PostgreSQL

Job description

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.