Overview
About the Role This is a first-of-its-kind operations role at a pre-seed AI recruiting startup. You will act as the human layer on top of autonomous AI agents that source, message, qualify, and schedule candidates at scale, stepping in for high-judgment moments and helping shape what AI-native recruiting operations looks like as the company grows. What You'll Do Supervise live AI agent pipelines, monitor candidate conversations, flag errors, and intervene when human judgment is needed. Handle high-stakes recruiting moments such as senior candidate conversations, objection handling, and offer negotiations. Train and improve AI agents by reviewing outputs, labeling good and bad responses, and writing examples that sharpen model quality. Audit candidate matches, outreach quality, and conversion rates across thousands of weekly touchpoints. Guide candidates through final stages, manage offer
Full job description
Full Job Description
About the Role
This is a first-of-its-kind operations role at a pre-seed AI recruiting startup. You will act as the human layer on top of autonomous AI agents that source, message, qualify, and schedule candidates at scale, stepping in for high-judgment moments and helping shape what AI-native recruiting operations looks like as the company grows.
What You'll Do
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Supervise live AI agent pipelines, monitor candidate conversations, flag errors, and intervene when human judgment is needed.
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Handle high-stakes recruiting moments such as senior candidate conversations, objection handling, and offer negotiations.
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Train and improve AI agents by reviewing outputs, labeling good and bad responses, and writing examples that sharpen model quality.
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Audit candidate matches, outreach quality, and conversion rates across thousands of weekly touchpoints.
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Guide candidates through final stages, manage offers, and ensure successful placements.
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Document what works, build SOPs, and define how humans and AI agents collaborate effectively.
What We're Looking For
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2+ years in talent operations, recruitment, or sourcing at early-stage tech startups.
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Extensive hands-on experience with AI tools (large language models or similar) to evaluate quality, spot errors, and understand AI capabilities and limitations.
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Proven ability to design and run end-to-end recruitment processes: sourcing, screening, coordination, offer management, and candidate experience.
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Experience monitoring and quality-assuring high-volume pipelines (hundreds to thousands of weekly touchpoints).
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Track record closing placements and managing final-stage conversations including offer negotiation.
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Comfort using data, dashboards, and conversion metrics to drive recruiting decisions.
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Experience labeling outputs or providing structured feedback to improve AI or ML systems.
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Cross-functional experience working with product, engineering, and leadership in startup environments.
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Familiarity with modern web or data technologies (such as TypeScript, Python, or SQL) is a plus for communicating effectively with engineers.
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Mid-career operator profile; not a senior executive or recruiting leader looking to step back.
Compensation & Benefits
Competitive base salary plus uncapped performance-based compensation tied to placements. Top performers earn significantly above base. Performance-based equity grants are available after a successful 90-day window, with potential for meaningful ownership as scope expands. Benefits include health insurance and visa sponsorship.
Location
Hybrid role based in San Francisco, California. Optional access to a shared team workspace in the city. Remote candidates based in the United States are also considered.
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Verification notes
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