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About the Role
Thinking Machines is seeking a Technical Recruiter to lead full-cycle recruiting for infrastructure teams. You will partner with leaders and engineers to understand hiring needs, develop sourcing strategies, and manage the closing process in a competitive market. This role requires a deep understanding of distributed training, networking, and cluster orchestration to effectively evaluate technical talent.
Responsibilities
- 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.
Requirements
- 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.
- 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.
Skills
- Distributed systems
- Cluster networking
- Cloud networking
- Container orchestration
- Systems languages
- Kubernetes
- Applicant tracking system (e.g., Greenhouse or Ashby)
- Modern sourcing tools
Location
- San Francisco, CA
Work Type
- Full-time
Experience Level
- 4+ years of full-cycle technical recruiting experience
Salary/Compensations
- $200,000 - $275,000 USD
Benefits
- Generous health, dental, and vision benefits
- Unlimited PTO
- Paid parental leave
- Relocation support as needed
- Visa sponsorship
About the Company
- 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.
Equal Opportunity
- 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.