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Open nowPosted 2 hours agoWe saw it 78 min after it went up

Business Recruiter

Thinking Machines Lab54 open roles

Pay
$220,000 – $275,000 a year
Where
San Francisco, CA, USA
Work mode
On site
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Your applicationOpen nowBusiness RecruiterThinking Machines Lab · San Francisco, CA, USA
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

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

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The clock on this job

Early applications get read.

13.5% of postings close within 7 days. Measured by our own scanner across the market. Thinking Machines Lab postings stay open a median of 28 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.6%3 days
  3. 13.5%7 days
  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: posted 2 hours ago

Thinking Machines Lab median: 28 days open

The posting

About Thinking Machines

The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it.

About the role

We’re hiring a Business Recruiter to help build the functions that support Thinking Machines’ growth and day-to-day operations. Your searches may span finance, legal, people, business operations, marketing, partnerships, and go-to-market, depending on company priorities.

You’ll work closely with functional leaders to define roles, understand distinct talent markets, and recruit people who can build effective teams and practices. This role calls for range: you should be comfortable learning a new function, challenging an overly broad brief, and creating a focused search strategy.

What you’ll do

  • Own recruiting across business functions, from role intake and sourcing through offers and acceptance.
  • Help leaders distinguish immediate hiring needs from longer-term organizational needs.
  • Define clear candidate profiles and assessment criteria for roles with different responsibilities and measures of success.
  • Build targeted candidate pipelines through market mapping, direct outreach, referrals, and professional communities.
  • Assess candidates’ functional experience, judgment, execution, and ability to work across teams.
  • Coordinate hiring teams and maintain momentum through clear decisions and timely feedback.
  • Guide candidates through compensation conversations and closing in partnership with the appropriate internal teams.
  • Turn lessons from individual searches into repeatable recruiting practices.

What you’ll bring

  • 4+ years of recruiting experience across multiple business or corporate functions.
  • A record of successfully managing both specialized searches and broader hiring needs.
  • The ability to learn a function quickly and understand what distinguishes strong performance within it.
  • Experience partnering with senior leaders, including advising on role scope and candidate evaluation.
  • Strong sourcing, communication, and negotiation skills.
  • Discretion with confidential information and the ability to prioritize when business needs change.

Logistics

  • Location: This role is based in San Francisco, CA or New York, NY
  • Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $220,000 - $275,000 USD.
  • Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
  • Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Thinking Machines Lab will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the California Fair Chance Act, the San Francisco Fair Chance Ordinance, and any other applicable state or local fair chance ordinance or law.

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