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Open nowPosted 5 hours ago

Growth Lead

Clera279 open roles

Pay
$130,000 – $225,000 a year
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.

13.3% 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. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 5 hours ago

Clera median: 6 days open

The posting

ABOUT THE ROLE

Join an early-stage AI company building infrastructure for reinforcement learning environments, model training, and evaluation. This cross-functional role connects recruiting, culture, and community building, helping the team grow its network across the frontier AI ecosystem.

WHAT YOU'LL DO

- Explain the company's vision and technical work through clear, engaging storytelling.

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

- Define company culture and values, screen candidates, and develop onboarding processes.

- Own end-to-end recruiting and improve recruiting systems, tools, and automated workflows in partnership with the Chief of Staff.

- Help plan community events, represent the company at industry events, and create marketing and community content.

- Work with go-to-market colleagues to identify and establish pathways to high-priority leads.

WHAT WE'RE LOOKING FOR

- Three to eight years of relevant experience, including ownership of end-to-end recruiting processes and systems at an early-stage startup.

- Experience improving recruiting operations and workflows, defining culture and values, and developing new hire onboarding.

- Experience engaging technical communities, hosting events, representing a company, and creating content for marketing or community engagement.

- Ability to understand and accurately explain technical products involving frontier AI agents, reinforcement learning, and training data.

- Strong relationship-building and communication skills, an established network in AI research, engineering, or startup communities, and a portfolio of professional writing.

- Comfort working independently in a fast-paced startup and collaborating with go-to-market teams.

COMPENSATION & BENEFITS

Base salary: $130,000 to $225,000 annually. Visa sponsorship is available.

LOCATION

On-site in San Francisco, California.

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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

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    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.

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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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