Talent AI Operator

Clera
San Francisco, CA
On-site

Who this role is best for

Strong fit for recruiting professionals who manage AI-human collaboration and analyze data in early-stage tech startups.

Best fit for

  • Candidates with 2+ years in startup recruiting and experience managing AI tools for candidate conversations
    — “At least 2 years of experience in recruiting, sourcing, or talent operations at early-stage technology startups”
  • Individuals who have personally managed final-stage candidate interactions and offer negotiations
    — “Experience closing placements and personally managing final-stage candidate conversations”
  • Professionals comfortable with creating operational documentation and cross-functional collaboration
    — “Comfort collaborating cross-functionally in a startup environment and creating operational documentation”

Things to consider

  • Compensation heavily depends on placement performance and may require strong negotiation skills
    — “Competitive base compensation plus uncapped, performance-based pay tied to placements”
  • Hybrid work in San Francisco may require in-office presence despite flexibility
    — “Hybrid role based in San Francisco, California. An optional shared living and working space is available in San Francisco.”

How to stand out

  • Emphasize experience in AI evaluation and how you've improved agent performance through feedback
    — “Review agent responses, label quality, and provide examples and feedback to improve performance”
  • Highlight your ability to shape AI-human collaboration processes and document best practices
    — “Document effective practices, create operating procedures, and build playbooks for human and AI collaboration”
  • Demonstrate your ability to analyze recruiting KPIs and use them to guide decisions
    — “Experience using recruiting data, such as KPIs, dashboards, A/B tests, or conversion analysis, to guide decisions”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • monitor candidate conversations handled by AI agents
  • guide senior candidates through complex conversations
  • audit candidate matches and outreach quality
  • manage offer discussions and placements
  • document effective practices and build playbooks
Typical background
2+ years of experience in recruiting, sourcing, or talent operations at early-stage technology startupshands-on experience using AI tools such as ChatGPT, Claude, or similar

Skills & requirements

Required

RecruitingSourcingTalent-operationsAi-toolsCandidate-conversationsOffer-discussionsRecruiting-dataOperational-documentationCross-functional-collaboration

Preferred

TypeScriptJavaScriptPythonReactNode.jsPostgreSQLSupabase

Stack & domain

RecruitingSourcingAI ToolsChatgptClaudeClosing PlacementsOffer NegotiationObjection HandlingRecruiting DataKpisDashboardsA/B TestsConversion AnalysisLabeling OutputsFeedbackTypeScriptJavaScriptPythonReactNode.jsPostgreSQLSupabaseCollaborationCommunicationLeadershipProblem-solvingAITechnology

About the role

Original posting from Clera via Ashby

ABOUT THE ROLE

Help make AI-powered recruiting work reliably at scale in an early-stage recruiting technology company. You will oversee autonomous recruiting agents, apply human judgment to candidate conversations, and help shape how people and AI work together throughout the hiring process.

WHAT YOU'LL DO

  • Monitor candidate conversations handled by AI agents, identify errors, and step in when human judgment is needed.
  • Guide senior candidates through complex conversations, objections, compensation discussions, and final hiring stages.
  • Review agent responses, label quality, and provide examples and feedback to improve performance.
  • Audit candidate matches, outreach quality, and conversion metrics across recruiting pipelines.
  • Manage offer discussions and help candidates complete placements successfully.
  • Document effective practices, create operating procedures, and build playbooks for human and AI collaboration.
  • Work with product, engineering, and company leadership to improve recruiting operations and agent behavior.

WHAT WE'RE LOOKING FOR

  • At least 2 years of experience in recruiting, sourcing, or talent operations at early-stage technology startups.
  • Hands-on experience using AI tools such as ChatGPT, Claude, or similar to evaluate outputs, identify errors, and understand limitations.
  • Experience closing placements and personally managing final-stage candidate conversations, including offer negotiation and objection handling.
  • Experience using recruiting data, such as KPIs, dashboards, A/B tests, or conversion analysis, to guide decisions.
  • Experience labeling outputs or providing feedback to improve AI, machine learning, or agent performance.
  • Comfort collaborating cross-functionally in a startup environment and creating operational documentation.
  • Familiarity with one or more of TypeScript, JavaScript, Python, React, Node.js, PostgreSQL, or Supabase is helpful.

COMPENSATION & BENEFITS

Competitive base compensation plus uncapped, performance-based pay tied to placements. Top performers may receive performance-based equity grants after a successful 90-day performance period. Health insurance and visa sponsorship are available.

LOCATION

Hybrid role based in San Francisco, California. An optional shared living and working space is available in San Francisco.

Source: Clera careers (Ashby)

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