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Open nowPosted 7 hours ago

Member of Technical Staff, Agents

Clera278 open roles

Pay
$200,000 – $300,000 a year
Where
Palo Alto
Work mode
Remote
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Your applicationOpen nowMember of Technical Staff, AgentsClera · Palo Alto

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Clera's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. Clera postings stay open a median of 6 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.2%30 days
  6. 59.1%60 days
This job: posted 7 hours ago

Clera median: 6 days open

The posting

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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  2. 25 readers review it

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    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Clera's form

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Why it works

3×

more interviews than doing it yourself with ChatGPT.

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  • How it was written, and how the review scored it
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  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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