Talent AI Operator

Clera

San Francisco, CA

On-site

Who this role is best for

A natural match if you have hands-on AI tool experience and a background in talent operations at a tech startup.

Best fit for

Candidates with AI tool evaluation experience and a track record in talent operations at early-stage tech startups
— “At least 2 years of experience in talent operations, recruiting, or sourcing, ideally at an early-stage technology startup”
Professionals comfortable with analyzing recruiting metrics and providing feedback to improve AI systems
— “Comfort using recruiting metrics, dashboards, experiments, or conversion analysis to inform decisions”
Individuals experienced in managing high-stakes candidate conversations and offer negotiations
— “Experience managing final-stage candidate conversations, negotiating offers, and handling objections”

Things to consider

The hybrid work arrangement requires a presence in San Francisco, which may impact remote flexibility
— “Hybrid role based in San Francisco, California”
The role demands active participation in improving AI-human collaboration through labeling and feedback
— “Review agent outputs, label strong and weak responses, and provide feedback to improve performance”

How to stand out

Highlight experience with AI tools like ChatGPT and your ability to identify their limitations
— “Hands-on experience with AI tools such as Claude, ChatGPT, or similar, including evaluating quality and identifying errors and limitations”
Showcase your ability to document processes and build playbooks for AI-human collaboration
— “Document effective practices, create operating procedures, and build playbooks for human and AI collaboration”
Emphasize your experience with high-stakes candidate negotiations and deal-closing
— “Handle high-stakes conversations with senior candidates, including objections and compensation negotiations”
Demonstrate familiarity with technical tools like JavaScript, React, or PostgreSQL to align with the team
— “Familiarity with JavaScript or TypeScript, Python, React, Node.js, PostgreSQL, or Supabase is helpful”

Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

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

What success looks like

Supervising AI agent activity
Handling high-stakes conversations
Improving AI performance
Auditing candidate matches

Typical background

Experience in talent operations or recruitingHands-on experience with AI tools

Skills & requirements

Required

AI Tools EvaluationTalent OperationsRecruitingSourcingRecruiting MetricsFeedback ProvisionCross-functional Collaboration

Preferred

JavaScriptTypeScriptPythonReactNode.jsPostgreSQLSupabase

Stack & domain

AI ToolsClaudeChatgptRecruitingTalent OperationsSourcingEarly-stage Technology StartupAI Agent ActivityHuman JudgmentCandidate ConversationsCompensation NegotiationsAgent OutputsFeedbackAI Or Machine Learning SystemsRecruiting MetricsDashboardsExperimentsConversion AnalysisJavaScriptTypeScriptPythonReactNode.jsPostgreSQLSupabaseCross-functional TeamworkProductEngineeringLeadershipAI

About the role

Original posting from Clera via Ashby

ABOUT THE ROLE
Help a team building AI-powered recruiting tools make autonomous talent operations work reliably at scale. You will supervise AI agent activity, handle conversations that need human judgment, and help improve how people and AI work together in recruiting.
WHAT YOU'LL DO
Monitor candidate conversations and intervene when an AI agent needs human judgment.
Handle high-stakes conversations with senior candidates, including objections and compensation negotiations.
Review agent outputs, label strong and weak responses, and provide feedback to improve performance.
Audit candidate matches, outreach quality, and conversion data across recruiting pipelines.
Guide candidates through final stages, manage offers, and help close placements.
Document effective practices, create operating procedures, and build playbooks for human and AI collaboration.
WHAT WE'RE LOOKING FOR
At least 2 years of experience in talent operations, recruiting, or sourcing, ideally at an early-stage technology startup.
Hands-on experience with AI tools such as Claude, ChatGPT, or similar, including evaluating quality and identifying errors and limitations.
Experience managing final-stage candidate conversations, negotiating offers, and handling objections.
Comfort using recruiting metrics, dashboards, experiments, or conversion analysis to inform decisions.
Experience providing feedback or labeling outputs to improve AI or machine learning systems.
Ability to work cross-functionally with product, engineering, and leadership teams. Familiarity with JavaScript or TypeScript, Python, React, Node.js, PostgreSQL, or Supabase is helpful.
COMPENSATION & BENEFITS
Competitive base pay and uncapped, placement-based performance compensation. Performance-based equity may be available based on results and expanding scope. Health insurance and visa sponsorship are available.
LOCATION
Hybrid role based in San Francisco, California.

Source: Clera careers (Ashby)