Talent AI Operator
Overview
Brand-new role at fast-growing AI-native recruiting platform operating at marketplace scale. You are the human layer that makes autonomous recruiting work. Think air traffic controller not pilot. AI handles volume while you provide judgment oversight and precision at critical moments. Define AI-native recruiting operations as the team scales.
What You'll Do11
- 1Supervise AI agent pipelines monitor live candidate conversations flag errors and intervene when human judgment is required
- 2Handle high-stakes moments such as senior candidates tricky objections and compensation negotiations where human touch still wins
- 3Train agents review agent outputs label good and bad responses and write examples that improve AI over time
- 4Perform quality control at scale audit candidate matches outreach quality and conversion rates across thousands of weekly touchpoints
- 5Close placements guide candidates through final stages manage offer conversations and ensure successful hires
- 6Build playbook document what works create SOPs and define human AI collaboration
- 7Monitor and quality assure high-volume candidate pipelines hundreds to thousands of weekly touchpoints
- 8Guide placements close placements and manage final-stage conversations including offer negotiation and objection handling
- 9Document processes create SOPs build operational playbooks
- 10Analyze KPIs dashboards and A/B tests to drive data-informed decisions
- 11Collaborate cross-functionally with product engineering design and leadership
Requirements9
- 12+ years talent operations recruitment or sourcing experience at early-stage tech startups pre-seed seed stage
- 2Extensive hands-on experience using AI tools such as Claude ChatGPT or similar to evaluate output quality identify errors and understand AI capabilities and limitations
- 3Proven ability to design and optimize end-to-end recruitment processes sourcing screening interview coordination offer management and candidate experience
- 4Experience monitoring and quality-assuring high-volume candidate pipelines hundreds to thousands of weekly touchpoints
- 5Experience closing placements and managing final-stage candidate conversations including offer negotiation and objection handling
- 6Ability to train label outputs or provide structured feedback to improve AI/ML systems or agent performance
- 7Data-informed mindset comfortable working with KPIs dashboards and conversion rate analysis
- 8Strong communication and collaboration skills proven ability to work cross-functionally with product engineering design and leadership
- 9Ability to work on-site in San Francisco as needed hackerhouse option available
Salary Insight
Salary not disclosed in listing
Location
Required Skills
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