Technical Recruiter

Anthropic's Security organization protects the models, the infrastructure, and the people behind them, spanning platform and application security, detection and response, identity, compliance, corporate engineering and IT, insider risk, and physical security. As Technical Recruiter, Security, you'll join the small team of recruiters who hire for that organization, owning full lifecycle recruiting for your searches and partnering with security leaders to turn ambiguous needs into clear search strategies.

• Own full lifecycle recruiting for a portfolio of roles across the Security organization, from intake through offer and close
• Run structured intakes with security hiring managers, translating ambiguous needs into scoped requirements, calibrated bars, and search strategies
• Build and maintain pipelines of specialized security talent, with an emphasis on passive candidates
• Refine security interview loops, take-home assignments, and scorecards alongside hiring managers, your recruiting counterparts, and Recruiting Operations
• Develop genuine domain fluency so you can hold a credible conversation with a detection engineer, a cryptographer, and a compliance lead in the same week
• Advise hiring managers with market data and candid calibration feedback, and influence decisions through credibility rather than volume
• Partner with Compensation, People Partners, and Mobility to structure equitable offers and guide candidates to close
• Handle sensitive role and candidate information with discretion, including for searches whose scope is confidential

• Deep full lifecycle recruiting experience, with substantial time supporting security, infrastructure, or comparably technical engineering organizations
• Ability to hold a substantive technical conversation about security domains such as application security, cloud and infrastructure security, detection and response, identity, or compliance, and to evaluate technical qualifications rather than match keywords
• Proficiency with an applicant tracking system like Greenhouse and other modern sourcing tools
• Experience partnering directly with hiring managers on intake, bar calibration, and interview loop design
• Sound independent judgment on candidate quality, and the ability to independently partner with multiple hiring managers on complex searches
• Genuine interest in Anthropic's mission and in the role a strong security function plays in achieving it

• Experience recruiting at a high-growth technology, AI, or machine learning company
• Working knowledge of the security credential landscape and clear judgment about where those credentials carry signal and where they do not
• Experience hiring for engineering, incident response, threat intelligence, insider risk, or physical security
• Experience improving recruiting processes, market maps, or interview architecture where they were thin or absent
• Comfort using LLMs to accelerate sourcing, research, and market mapping

Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience. Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience. Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position.

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time.