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 Security Recruiter to help build the team protecting our research, infrastructure, products, and people. You’ll partner with security and engineering leaders to identify exceptional talent across security engineering, detection and response, infrastructure security, and governance, risk, and compliance.
Security hiring requires understanding how someone approaches problems, earns trust, and makes decisions under uncertainty. You’ll develop that understanding alongside our hiring teams and use it to find people who can build effective security practices in a rapidly evolving AI environment.
What you’ll do
Own recruiting from initial outreach through offer acceptance across security roles, including specialized individual contributors and leaders.
Translate hiring priorities into clear role definitions, sourcing plans, and interviews that assess the capabilities each role requires.
Build relationships with security practitioners through relevant communities, conferences, technical contributions, and referrals.
Learn the distinctions between security specialties and use that knowledge to assess candidates’ experience and motivations.
Help interviewers establish consistent evaluation criteria and turn interview feedback into clear hiring decisions.
Guide candidates through the process with thoughtful communication, discretion, and a strong understanding of the opportunity.
Use pipeline data and market feedback to identify bottlenecks and improve search strategy.
What you’ll bring
4+ years of recruiting experience, including substantial experience hiring security professionals.
A record of finding and closing candidates for specialized or difficult-to-fill security roles.
Familiarity with security disciplines and the ability to discuss their different responsibilities credibly.
Strong sourcing skills and an ability to build relationships with people who are not actively looking.
Sound judgment when handling sensitive information and confidential searches.
Experience advising hiring managers and managing multiple searches with changing priorities.
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 $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.
Skills Required
- 4+ years of recruiting experience
- Substantial experience hiring security professionals
- Record of finding and closing candidates for specialized or difficult-to-fill security roles
- Familiarity with security disciplines and ability to discuss their responsibilities credibly
- Strong sourcing skills and ability to build relationships with passive candidates
- Sound judgment when handling sensitive information and confidential searches
- Experience advising hiring managers and managing multiple searches with changing priorities
What We Do
Thinking Machines Lab is an artificial intelligence research and product company. We're building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals. While AI capabilities have advanced dramatically, key gaps remain. The scientific community's understanding of frontier AI systems lags behind rapidly advancing capabilities. Knowledge of how these systems are trained is concentrated within the top research labs, limiting both the public discourse on AI and people's abilities to use AI effectively. And, despite their potential, these systems remain difficult for people to customize to their specific needs and values. To bridge the gaps, we're building Thinking Machines Lab to make AI systems more widely understood, customizable and generally capable. We are scientists, engineers, and builders who've created some of the most widely used AI products, including ChatGPT and Character.ai, open-weights models like Mistral, as well as popular open source projects like PyTorch, OpenAI Gym, Fairseq, and Segment Anything.

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