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Thinking Machines Lab

Technical Sourcer

Thinking Machines Lab is hiring a Technical Sourcer for a remote role open to applicants in United States. It pays $200k-$275k a year and Level rates it ; you can apply on Thinking Machines Lab.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this HR role: the daily work is on AI products, without building the model.
  • The listed pay starts 64% above the typical HR posting on Level.
  • The posting lists this role as remote.
  • Thinking Machines Lab mentions visa sponsorship in this posting.
  • Tools and skills the posting cites include LinkedIn Recruiter and GitHub.

AI in this role

Build talent pipelines and source researchers and engineers for an AI lab.

LinkedIn RecruiterGitHub
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 Recruiting Sourcer to build the pipeline of exceptional research and engineering talent that will define the next generation of AI. You'll partner closely with recruiters, hiring managers, and our technical leaders to identify, engage, and build relationships with candidates across research, engineering, and infrastructure.

This role is foundational to our growth. You'll need to think creatively about where to find rare technical talent, craft outreach that resonates with researchers and engineers who aren't actively looking, and help us build a sourcing function from the ground up at a fast-moving startup.

What You’ll Do
  • Build and manage a pipeline of candidates across research, engineering, and infrastructure roles, using creative and diverse sourcing channels

  • Partner with recruiters and hiring managers to deeply understand role requirements and translate them into effective sourcing strategies

  • Write and send personalized outreach that engages passive candidates, including senior researchers and engineers

  • Track pipeline metrics and sourcing effectiveness, and iterate on strategy based on what's working

  • Represent Thinking Machines' mission and culture authentically to prospective candidates throughout the sourcing process

  • Help build and refine our sourcing tools, processes, and infrastructure as the team scales

Skills and Qualifications

Minimum qualifications:

  • 3+ years of sourcing or recruiting experience, ideally supporting technical roles in AI labs or tech startups

  • Track record of successfully identifying and engaging passive technical candidates, including researchers and engineers

  • Excellent written communication skills, with the ability to craft compelling, personalized outreach

Preferred qualifications:

  • Familiarity with the AI/ML research landscape, including key labs, conferences, and communities

  • Experience using sourcing tools and platforms (e.g., LinkedIn Recruiter, GitHub, academic search tools)

  • Experience building sourcing processes and infrastructure at an early-stage or fast-scaling company

  • Comfort operating with significant autonomy and adapting quickly as priorities shift

Logistics
  • Location: This role is based in San Francisco, CA.

  • Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $200,000 - $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.

How we rate this

Technical Sourcer at Thinking Machines Lab rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

LinkedIn RecruiterGitHub

Also common in HR jobs at this level

Pay

This job starts at
$200k
Typical HR job
$122k

This posting starts 64% above the typical HR job. See HR jobs

Questions you could be asked

  1. What's a project where you used LinkedIn Recruiter hands-on?
  2. Walk me through how you've used GitHub in your day-to-day work.
  3. Describe a typical day in a role like this one: which parts run through AI directly?
  4. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: LinkedIn Recruiter and GitHub. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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