
Job Overview
Location
Los Angeles
Job Type
Full-time
Category
HR & Recruiting
Date Posted
August 11, 2026
Full Job Description
đź“‹ Description
- • 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.
- • 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.
🎯 Requirements
- • 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
🏖️ 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
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Clera
Clera, Inc. operates as an AI Talent Agent, leveraging artificial intelligence to enhance and streamline various aspects of the talent acquisition and management process. The company's core offering appears to center on an AI-powered platform designed to connect skilled individuals with suitable opportunities or to assist organizations in efficiently sourcing and evaluating candidates. While comprehensive details regarding specific features, target industries, or the scale of its operations are not yet publicly available, the current online presence indicates that Clera's services are actively being prepared for launch. This suggests an upcoming introduction of innovative AI solutions aimed at optimizing the ecosystem where talent meets demand.
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