# Talent AI Operator at Clera

> Onsite · United States · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Aclera%3Afc457b48-a3d7-4caa-9b14-e89f1c43c9bb (read 2026-11-06).

## Facts (observed)

- Company: [Clera](https://alderhq.app/companies/clera)
- Location text: San Francisco
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: San Francisco")
- Posted: 2026-11-06 (0 days ago)
- First seen by alder: 2026-11-06 · last verified: 2026-11-06
- Reposted: 1 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/clera/fc457b48-a3d7-4caa-9b14-e89f1c43c9bb
- Skills listed (inferred): TypeScript, JavaScript, React, Node.js, Python, PostgreSQL

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (SF Bay Area, n 1745): p25 $161k, median $200k, p75 $239k

## Description (the employer's text)

### About the Role

Help a recruiting technology team make AI-powered talent operations effective at scale. You will oversee recruiting agents, apply human judgment to candidate conversations, and help improve how people and AI work together.

### What You'll Do

Monitor candidate conversations handled by AI agents, identify errors, and intervene when human judgment is needed.

Manage sensitive or high-stakes candidate discussions, including compensation negotiations and objections.

Review agent outputs, label strong and weak responses, and provide feedback that improves performance.

Audit candidate matches, outreach quality, and recruiting conversion metrics.

Guide candidates through final hiring stages, manage offers, and help close placements.

Document effective practices, build standard operating procedures, and develop operational playbooks.

### What We're Looking For

At least 2 years of experience in talent operations, recruiting, or sourcing at early-stage technology startups.

Hands-on experience using AI tools such as Claude, ChatGPT, or similar to assess output quality, spot errors, and understand limitations.

Experience closing placements and managing final-stage candidate conversations, including offer negotiations and objection handling.

Ability to use recruiting data, such as KPIs, dashboards, A/B tests, and conversion analysis, to guide decisions.

Experience training, labeling, or providing feedback on AI or machine learning system outputs.

Experience working with product, engineering, and leadership teams in a startup environment.

Familiarity with tools or technologies such as TypeScript, JavaScript, Python, React, Node.js, PostgreSQL, or Supabase is helpful.

### Compensation & Benefits

Competitive base pay and uncapped performance-based compensation tied to placements. Equity may be available based on performance and scope. Health insurance and visa sponsorship are available.

### Location

Hybrid in San Francisco, California. Remote work within the United States is also listed as an option.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Aclera%3Afc457b48-a3d7-4caa-9b14-e89f1c43c9bb and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.