Technical Recruiter

Thinking Machines; San Francisco (CA); On-site; USD 200,000 - 275,000; Full time

Benefits offered by this job

Health, dental, vision benefits

Unlimited PTO

Paid parental leave

Relocation support

Job summary

Thinking Machines in San Francisco hires a Technical Recruiter to lead full-cycle recruiting for infrastructure, systems, and networking roles. You will partner with engineers and leaders to design interview loops and craft closing strategies in a competitive market.

This high-ownership role requires deep technical conversation about distributed training, cluster orchestration, and Kubernetes, plus building proactive sourcing strategies to attract top talent. Visa sponsorship is available.

Qualifications

• 4+ years of full-cycle technical recruiting experience for infrastructure, platform, or systems roles.
• Ability to engage in substantive technical conversations about infrastructure domains (distributed systems, networking, containers).
• Experience partnering with hiring managers on intake, bar calibration, and interview loop design.
• Strong independent judgment and ability to manage multiple searches with minimal supervision.

Responsibilities

• Own full-cycle recruiting — sourcing, screening, interview coordination, and closing for infrastructure, systems, and networking roles.
• Partner with hiring managers and technical leaders on role scoping and interview loop design.
• Build proactive sourcing strategies and outbound campaigns to reach passive, highly specialized infrastructure talent.
• Serve as SME across distributed training, cluster networking, Kubernetes/container orchestration, and systems languages.
• Calibrate talent bar with engineering leaders and provide clear feedback to interviewers.

Skills

Full-cycle recruiting

Technical discussions

Hiring-manager collaboration

Independent judgment

Tools

Greenhouse

Ashby

Job description

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 Technical Recruiter, to lead full-cycle recruiting for the infrastructure eams building and operating the systems behind our frontier model training and Tinker's platform - including cluster and network engineering, distributed systems, and site reliability. You'll partner closely with infrastructure leaders and engineers to understand niche hiring needs and translate them into sourcing strategies, calibrated interview loops, and craft a closing process that lands top candidates in a competitive market.

This is a high-ownership role at a company where infrastructure is the foundation of everything we ship. You'll need to go deep enough on distributed training, networking, and cluster orchestration to evaluate technical signal yourself, not just pattern-match keywords, and to speak credibly with the engineers you're recruiting.

What You’ll Do

• Own full-cycle recruiting — sourcing, screening, interview coordination, and closing — for infrastructure, systems, and networking roles.

• Partner directly with hiring managers and technical leaders on role scoping and interview loop design

• Build and run proactive sourcing strategies and outbound campaigns to reach passive, highly specialized infrastructure talent

• Serve as a subject matter expert across distributed training, cluster networking, Kubernetes/container orchestration, and systems programming languages, with the ability to speak to the team's work in depth while assessing candidates

• Calibrate talent bar alongside engineering leaders and help interviewers give clear, well-supported feedback

• Manage a high-touch candidate experience and act as a trusted advisor to candidates through offer and close

• Track pipeline health and hiring metrics, and use that data to continuously improve the hiring process

• Help build the recruiting playbooks, tools, and processes that will scale as the infrastructure org grows

Skills & Qualifications

Minimum Qualifications

• 4+ years of full-cycle technical recruiting experience, with a track record of hiring for infrastructure, platform, or systems engineering roles

• Ability to hold a substantive technical conversation about infrastructure domains such as distributed systems, cluster or cloud networking, container orchestration, and systems languages

• Experience partnering directly with hiring managers on intake, bar calibration, and interview loop design

• Sound independent judgment on candidate quality, and the ability to manage multiple concurrent searches with minimal oversight

Preferred Qualifications

• Experience recruiting at a high-growth AI, machine learning, or infrastructure-focused technology company

• Proficiency with an applicant tracking system (e.g., Greenhouse or Ashby) and modern sourcing tools

• Experience building sourcing strategy or recruiting processes from scratch at an early-stage or fast-scaling team

• A genuine interest in Thinking Machines' mission and in the role a world-class infrastructure team plays in achieving it

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.

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.