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Clera

Talent AI Operator

San Francisco
Level
Mid
Work type
On-site · San Francisco
Visa
Sponsors visas

Not stated in the posting: salary.

Open. First seen 14 October 2026.

Apply on the company's site →

What this role asks for

Particular to this role

Node.js · Supabase

Rare in Clera's other 299 open postings.

Read against Clera's other open postings on this site.

The team: Engineering HIRES STEADILY

This role is one of 292 open in Engineering. 226 were posted in the last 30 days and the oldest in March: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

LLM (135 of 292), TypeScript (131 of 292), Python (123 of 292), React (107 of 292), Machine Learning (70 of 292), PostgreSQL (58 of 292), JavaScript (55 of 292)

OTHER ROLES ON THIS TEAM

From the team and dates on Clera's own job board.

About the role

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.

Other openings for this role

2 open postings for this role in San Francisco, first posted 30 September 2026. The company is likely hiring for more than one position. None has been taken down and posted again.

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