Head of Vulnerability Disclosure & Security Community

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.

We're looking for a Head of Vulnerability Disclosure & Security Community to own Anthropic's coordinated vulnerability disclosure program and our CVE Numbering Authority (CNA) end to end, including our public coordinated-disclosure jailbreak program. You will have the authority to set Anthropic's disclosure policy and timelines and will be the public face of Anthropic's disclosure work and help shape how the industry handles model-level vulnerabilities. Your findings feed model-release decisions, and you will work as a peer of the Senior Cyber Policy Lead, building relationships with security researchers and threat-intelligence partners along the way.

Key responsibilities

• Own and operate Anthropic's public, coordinated-disclosure jailbreak program end-to-end

• Lead Anthropic's CVE Numbering Authority (CNA) function for vulnerability disclosure, including in open-source contexts

• Build and maintain partnerships with the external security research community and threat-intelligence organizations

• Represent Anthropic at security conferences and within the broader vulnerability-research community

• Maintain close familiarity with vulnerability-database ecosystems to keep our program aligned with industry norms

• Lead Anthropic's external technical engagement on cyber safety topics, including public and community-facing communication

• Collaborate with the Senior Cyber Policy Lead to ensure disclosure findings inform evaluations and policy

• Build the function: hire and mentor a future analyst, and put in place the tooling and AI-assisted triage the program needs to scale

Minimum qualifications

• Experience operating or participating in a coordinated vulnerability disclosure program

• Experience coordinating multi-party disclosures involving researchers, vendors, and open-source maintainers

• Experience managing a disclosure queue with defined triage and response timelines

• Experience handling sensitive or embargoed vulnerability information, including TLP-marked material

• Experience running or working inside a PSIRT

• Experience coordinating disclosures that include government parties

• A track record of authoring CVEs or vulnerability disclosures

• Experience presenting original research at security conferences

• Experience operating or supporting a CNA (CVE Numbering Authority), either internally or on behalf of third parties

• Experience incorporating artificial intelligence into coordinated vulnerability disclosure or CNA processes, such as automated triage, severity assessment, or report handling

• Experience operating or scaling a bug bounty program through a commercial platform

• Established relationships across the disclosure coordination community and programs

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.

$330,000—$395,000 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.