Red Team Engineer, Safeguards

About Anthropic

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.

About the role

Anthropic's Safeguards team is seeking a Red Team Engineer to help ensure the safety of our deployed AI systems and products. In this role, you'll take an adversarial approach to uncover vulnerabilities across our product ecosystem before they can be exploited by malicious actors. Your work will span from technical infrastructure vulnerabilities on our products to emergent risks from advanced AI capabilities.

While you'll bring best practices from traditional security approaches, the focus is on broader safety implications and novel abuse unique to advanced AI systems and associated products. You'll investigate the full spectrum of potential abuse — from coordinated account manipulation and payment fraud to novel exploitation of product features — and simulate sophisticated threat actors who chain multiple attack vectors to achieve their objectives.

Key responsibilities

Conduct comprehensive adversarial testing across Anthropic's product surfaces, developing creative attack scenarios that combine multiple exploitation techniques

Research and implement novel testing approaches for emerging capabilities, including agent systems, tool use, and new interaction paradigms

Design and execute "full kill chain" attacks that emulate real-world threat actors attempting to achieve specific malicious objectives

Build and maintain systematic testing methodologies that evaluate every aspect of our systems

Develop automated testing frameworks to enable continuous assessment at scale

Collaborate with Product, Engineering, and Policy teams to translate findings into concrete improvements

Help establish metrics for measuring detection effectiveness of novel abuse

Minimum qualifications

Experience in penetration testing, red teaming, or application security

Experience in model jailbreaking and testing large-scale agentic workflows for non-obvious prompt injection vectors

Strong technical skills in web application security, including hands-on expertise with security testing tools (e.g., Burp Suite, Metasploit, custom scripting frameworks)

Experience building custom automation, including LLM-specific testing frameworks

A track record of discovering novel attack vectors and chaining vulnerabilities in creative ways

A public body of work such as CVEs, blog posts, or disclosed bug bounty reports

Strong written and verbal communication skills, with the ability to explain technical concepts to varied audiences

Preferred qualifications

Experience with AI/ML security or adversarial machine learning

Understanding of AI safety considerations beyond traditional security, including modern guardrails against jailbreaks

Experience testing API security and rate-limiting systems

Background in testing business logic vulnerabilities and authorization bypass techniques

Background in anti-fraud, trust & safety, or abuse prevention systems

Familiarity with distributed systems and infrastructure security

Familiarity with abuse detection mechanisms and the ability to engineer novel bypasses

Adaptability to understand and build engagements around emerging threats outside your direct area of expertise

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.

Annual Salary:

$320,000 — $405,000 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