# Member of Technical Staff, Agents at Clera

Member of Technical Staff, Agents at Clera in Palo Alto. Remote, full-time, paying $200k–$300k. Posted October 31, 2026.

- Company: Clera
- Location: Palo Alto
- Workplace: Remote
- Job type: Full-time
- Pay: $200k–$300k
- Posted: 2026-10-31
- Apply: https://jobs.ashbyhq.com/clera/c0b2a6a7-7a76-483a-b009-218767b6cd4a/application
- Source: https://jobmagic.ai/jobs/member-of-technical-staff-agents-clera-4tqhrj

## Requirements

- At least 3 years in data science or machine learning roles building or delivering evaluation systems, metrics, or product quality measurement.
- Production-level Python and SQL skills for analysis, large datasets, and automated pipelines.
- Experience designing evaluation frameworks, including success criteria, representative datasets, appropriate metrics, and trustworthy benchmarks.
- Experience using statistics, experiment design, and realistic end-to-end simulations to evaluate agent changes.
- Background building or operating agents for real users and improving their reliability; experience with post-training, fine-tuning, or reinforcement learning is valuable.
- Experience owning and shipping systems to users, with demonstrated impact; familiarity with Django, React, and TypeScript.
- A track record of sustained contribution and growth in a role, founding a startup, or earning a promotion.

## Description

### About the Role

Join a small, senior team building autonomous AI agents that handle real executive workflows. You will develop agent capabilities and the evaluation systems needed to verify reliability before changes reach users.

### What You'll Do

- Build agents that complete delegated work end to end without requiring users to check every step.

- Design reliable measures of agent success and maintain representative evaluations for real-world tasks.

- Develop new agent capabilities for tools executives already use, and verify their readiness before launch.

- Investigate production failures, identify root causes, and deliver fixes that prevent recurrence.

- Build scalable failure detection for known issues and unexpected patterns using evaluation and monitoring tools.

- Improve agent recovery when a tool or website fails.

- Create repeatable workflows so engineers can measure whether agent changes improve performance.

### What We're Looking For

- At least 3 years in data science or machine learning roles building or delivering evaluation systems, metrics, or product quality measurement.

- Production-level Python and SQL skills for analysis, large datasets, and automated pipelines.

- Experience designing evaluation frameworks, including success criteria, representative datasets, appropriate metrics, and trustworthy benchmarks.

- Experience using statistics, experiment design, and realistic end-to-end simulations to evaluate agent changes.

- Background building or operating agents for real users and improving their reliability; experience with post-training, fine-tuning, or reinforcement learning is valuable.

- Experience owning and shipping systems to users, with demonstrated impact; familiarity with Django, React, and TypeScript.

- A track record of sustained contribution and growth in a role, founding a startup, or earning a promotion.

### Compensation & Benefits

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

### Location

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