Opportunities in San Francisco, United States

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

• 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 offers, and ensure successful placements.

• Document what works, build SOPs, and define how humans and AI agents collaborate effectively.

What We're Looking For

• 2+ years in talent operations, recruitment, or sourcing at early-stage tech startups.

• Extensive hands-on experience with AI tools (large language models or similar) to evaluate quality, spot errors, and understand AI capabilities and limitations.

• Proven ability to design and run end-to-end recruitment processes: sourcing, screening, coordination, offer management, and candidate experience.

• Experience monitoring and quality-assuring high-volume pipelines (hundreds to thousands of weekly touchpoints).

• Track record closing placements and managing final-stage conversations including offer negotiation.

• Comfort using data, dashboards, and conversion metrics to drive recruiting decisions.

• Experience labeling outputs or providing structured feedback to improve AI or ML systems.

• Cross-functional experience working with product, engineering, and leadership in startup environments.

• Familiarity with modern web or data technologies (such as TypeScript, Python, or SQL) is a plus for communicating effectively with engineers.

• 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.