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Open nowPosted 7 hours agoWe saw it 68 min after it went up

Growth Lead

Clera262 open roles

Where
San Francisco
Work mode
On site
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Your applicationOpen nowGrowth LeadClera · San Francisco

  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

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Clera postings stay open a median of 3 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 7 hours ago

Clera median: 3 days open

The posting

ABOUT THE ROLE

This role helps an early-stage AI company build its network and tell its story across the frontier AI ecosystem. You will shape recruiting, culture, and community while working across teams to help attract talent and build connections.

WHAT YOU'LL DO

- Communicate the company's vision through clear, engaging storytelling.

- Find and connect with candidates, AI researchers and engineers, and other people in relevant technical communities.

- Help define company culture and values, screen candidates, and develop onboarding for new hires.

- Own recruiting processes with the Chief of Staff, including improving systems, tools, and automated workflows.

- Collaborate on community events, industry representation, and content creation.

- Work with go-to-market teams to identify and establish pathways to high-priority contacts.

WHAT WE'RE LOOKING FOR

- Three to eight years of relevant experience, including experience in an early-stage startup.

- Experience managing end-to-end recruiting and building recruiting operations, tools, and workflows.

- Strong skills in connecting with people in technical communities, such as through recruiting, go-to-market, or ecosystem building.

- Ability to understand and clearly explain technical products related to frontier AI agents and training data.

- Experience defining culture and values, developing onboarding, creating marketing or community content, and hosting events.

- Connections in reinforcement learning research or engineering, or broader startup communities, are valuable.

- A portfolio of professional writing and the ability to work independently in a fast-paced environment.

COMPENSATION & BENEFITS

Annual salary: $100,000 to $150,000 USD. Visa sponsorship is available.

LOCATION

On-site in San Francisco, California, United States.

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What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Clera's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

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

  3. We apply on Clera's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Clera's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

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  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • 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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The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

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What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

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