Technical Recruiter

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

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. The adversaries are well resourced, the assets are novel, and the consequences of getting it wrong extend beyond Anthropic.

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. Security professionals are among the most heavily recruited people in technology, and earning their attention takes real domain fluency rather than a template.

Key responsibilities

• 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

Minimum qualifications

• 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

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

$240,000—$295,000 USD

Logistics

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 encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

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. As such, we greatly value communication skills.