Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 54 days ago

Technical Recruiter

Patronus AI, Inc.17 open roles

Pay
$140,000 – $200,000 a year
Where
San Francisco
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowTechnical RecruiterPatronus AI, Inc. · 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 Patronus AI, Inc.'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.

13.9% of postings close within 7 days. Measured by our own scanner across the market. Patronus AI, Inc. postings stay open a median of 19 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 54 days ago

Patronus AI, Inc. median: 19 days open

The posting

About Patronus AI

Patronus AI is a frontier lab developing simulation research and infrastructure to accelerate progress toward human-aligned AGI. We are on a mission to simulate all of the world’s intelligence.

We are the team behind some of the earliest and most influential research in AI evaluation like FinanceBench, Lynx, SimpleSafetyTests, CopyrightCatcher, Humanity’s Last Exam, and more. We are formerly AI researchers and engineers from companies like Meta AI, Amazon AGI, and Google. Our customers include foundation model labs and Fortune 500 enterprises like Adobe. We are backed by top-tier investors like Lightspeed Venture Partners, Notable Capital, Stanford University, Noam Brown, Gokul Rajaram, and more.

Responsibilities

We're building an exceptional team, and hiring is one of the most important things we do. As we scale, we're looking for a Technical Recruiter to own how we find, evaluate, and close the researchers and engineers who will do this work.

This is not a role where you post a req and work an inbound queue. You'll own the end-to-end hiring process for research and engineering roles: building the pipeline, partnering with hiring managers and the co-founders on what the role actually is, and closing candidates who have other options. The people we hire are among the most heavily recruited in technology. Reaching them takes real fluency in what they work on — enough to read a paper's contribution, tell a strong open-source record from a busy one, and hold a credible conversation with an RL researcher and an infrastructure engineer in the same afternoon. Templates do not work on this market. Judgment does.

The best person for this role has an opinion before the hiring manager does, sources the people who aren't looking, and holds the bar in a room full of founders who want the req filled. You use AI aggressively to take the mechanical work off your plate, and you spend the hours you win back on the calls only a person can make.

In this role, you will:

  • Manage full-cycle recruiting for technical roles across research, platform, product engineering and technical program management — intake through close.
  • Source the passive market directly. Work from publications, citations, open-source contributions, conference participation, academic networks and referrals, not just keyword searches.
  • Partner with hiring managers and the co-founders to turn a vague need into a real role: the scope, the bar, the loop, and what a yes actually looks like.
  • Develop enough domain fluency to evaluate technical qualifications rather than match keywords, and to be a useful second opinion in a debrief.
  • Close. Build the narrative for each candidate, handle competing offers, and run negotiations alongside the founders.
  • Own candidate experience end to end. Every candidate, including the ones we pass on, should leave with a high opinion of us.
  • Use AI aggressively. Automate market mapping, research, outreach drafting, and funnel analysis so more of your time goes to the judgment calls that cannot be automated.
  • Report on pipeline health, time-to-fill, source effectiveness and offer outcomes, and use that data to change what we do.
  • Build beyond the role. As you develop context and judgment, take ownership of increasingly ambiguous recruiting and People problems.

Qualifications

"The number one qualification to succeed in this machine learning course is gumption" - John Lafferty, CS Professor at Yale

Above all, we look for a proactive mindset, willingness to learn, unlimited energy, and relentless optimism. You are a great fit if you have a background in the following:

  • You have 5+ years of full-cycle technical recruiting, including time at a startup where the process did not already exist.
  • You have hired engineers or researchers in a market where every good candidate had other offers.
  • You can source. You can name the last five people you found who were not applying and not on the first page of results.
  • You have the technical fluency to read a resume, a GitHub profile or a paper and form your own view before the hiring manager does.
  • You close well. You can build a value proposition for a specific person, and you are comfortable in a negotiation.
  • You have clear judgment about the bar, and you will hold it in a room with founders who want the req filled.
  • You keep a clean ATS, report pipeline honestly, and can point at the evidence behind your decisions.
  • You're excited about AI and constantly look for ways technology can make you more effective.
  • You write exceptionally well. Your outreach is the first thing a candidate reads about us.

Nice to Have:

  • You've hired PhD-level researchers and know your way around arXiv, NeurIPS, ICML, ICLR and the people who publish there.
  • You've recruited specifically for reinforcement learning, evaluation, agents or ML infrastructure.
  • You've built your own tooling — scripts, automations, enrichment — rather than waiting for a vendor.
  • You know Greenhouse well.
  • You have a genuine interest in AI safety and evaluation with a realistic view of both the potential and the limits.

To support close collaboration, this role is based in our San Francisco headquarters and requires in-office attendance 5 days a week.

The expected base salary range for this role is $140,000 - $200,000 USD. In addition to base salary, we offer equity and benefits. Actual compensation will be determined based on experience, qualifications, skills, and location.

Benefits

  • Competitive salary and equity packages
  • 15 days of paid vacation per annum
  • Parental & sick leave
  • Health, dental, and vision insurance plans
  • 401(k) plan + matching
  • In-office lunch & dinner
  • Whoop band
  • Monthly meal stipend
  • Monthly health and wellness stipend
  • Equinox membership
  • Fun global offsites!

Patronus AI is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.

By clicking ‘Apply’, you agree to both of the following:

1) Greenhouse's Terms of Service and Privacy Policy

2) Patronus AI, Inc. Privacy Policy.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Patronus AI, Inc.'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 Patronus AI, Inc.'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

    Patronus AI, Inc.'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

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  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.
Get the CV for this job

From $25 per CV, paid once. No subscription.

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.

Get the CV for this job

From $25 per CV, paid once. No subscription.

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.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

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?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and 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.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.