# Member of Technical Staff, Agents at Clera

> Remote · United States · Staff · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Aclera%3Ade96dd97-2aeb-485c-8d05-d36c5af75ad4 (read 2026-11-12).

## Facts (observed)

- Company: [Clera](https://alderhq.app/companies/clera)
- Location text: Palo Alto
- Where it can be done from (inferred): Remote · United States (evidence: "Location: Palo Alto")
- Posted: 2026-11-08 (4 days ago)
- First seen by alder: 2026-11-08 · last verified: 2026-11-12
- Reposted: 1 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/Clera/de96dd97-2aeb-485c-8d05-d36c5af75ad4
- Skills listed (inferred): TypeScript, React, Python, Django, SQL

## Pay and sponsorship

- Posted pay: $200k–$300k per year (from the description)
- Market band for similar posted roles (SF Bay Area, n 1156): p25 $205k, median $240k, p75 $284k

## Description (the employer's text)

### About the Role

Join a small, senior team building autonomous AI assistants for executive workflows. You will develop agent capabilities and evaluation systems that help ensure real-world tasks are completed reliably, with measurable quality.

### What You'll Do

Build agents that complete delegated work end to end for real users.

Define reliable measures of success for agent tasks and maintain representative evaluations.

Develop new agent capabilities and validate them before they reach users.

Investigate production failures and deliver fixes that address underlying causes.

Build systems to detect known failure patterns and emerging issues at scale.

Improve agent recovery when tools or websites fail.

Create repeatable methods for engineers to measure the impact of agent changes.

### What We're Looking For

At least 3 years of data science or machine learning experience building evaluation systems, metrics, or quality measurement for products.

Production-quality Python and SQL skills, including experience analyzing large datasets and building automated pipelines.

Experience designing evaluation frameworks, datasets, measurable criteria, and appropriate metrics.

A track record delivering production AI, machine learning, agent, or agent-evaluation systems for real users.

Experience improving agent reliability, owning systems end to end, and measuring results in production.

Familiarity with statistics, experiment design, and realistic end-to-end simulations; experience with fine-tuning, post-training, or reinforcement learning is valuable.

Experience with Python, Django, React, and TypeScript; familiarity with evaluation tools such as Braintrust or Raindrop is useful.

Demonstrated progression and sustained experience in a role, with the ability to work through ambiguity and ship quickly.

### Compensation & Benefits

Base salary is $200,000 to $300,000 USD annually. Visa sponsorship is not available.

### Location

On-site in Palo Alto, California, with four days a week in the office.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Aclera%3Ade96dd97-2aeb-485c-8d05-d36c5af75ad4 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.