Cybersecurity Sales Specialist

Job Application for Cybersecurity Sales Specialist at Anthropic

Back to jobs New Cybersecurity Sales Specialist New York City, NY; San Francisco, CA | New York City, NY; Seattle, WA; Washington, DC

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

AI is changing what security teams can do. Claude can find and help fix vulnerabilities in code at a pace that wasn't possible a year ago, and we want defenders to have that advantage first. As a Cybersecurity Sales Specialist, you'll own Anthropic's security business across the accounts in one of our business units, such as financial services, healthcare and life sciences, or technology. You'll lead the security strategy with CISOs, partnering with the Account Executives who own the accounts in your industry to drive opportunities and put Claude to work on their hardest security problems.

You'll help decide how we sell security, what we learn from customers, and how that shapes our products. The work matters to our mission: a safe transition through transformative AI depends on the people who defend critical systems being able to use it well.

Responsibilities:

Build and close security business, from the first conversation with a CISO's team through contract and expansion, working with the Account Executive who owns each relationship

Create security pipeline with the Account Executives in your industry, from their existing accounts and through outbound to security leaders, events and joint work with partners

Lead with the customer's problem: finding and fixing vulnerabilities, application security, security operations, and deploying AI agents securely

Partner with your Applied AI engineers on discovery, proofs of concept and architecture, and know when to bring them in

Guide customers through security reviews, verification for security use cases, and procurement

Teach the Account Executives in your business unit to spot and qualify security opportunities

Bring what you hear from security teams back to our product, safeguards and marketing teams

You may be a good fit if you:

Have closed complex, multi-stakeholder enterprise deals where the security organization was the buyer or the deciding approver

Have worked as a specialist alongside account teams while carrying your own number, and can say exactly what you did to win the deal

Can hold credible conversations with a CISO, an application security lead and a security engineer about how their work gets done

Have deep experience in at least one security domain, such as application security, vulnerability management, security operations, cloud, data, identity or endpoint security

Build pipeline where there's no playbook yet, through outbound and partners rather than inherited accounts

Lead through influence, not authority: Account Executives bring you into their accounts because you help them win

Sell consultatively: you understand the problem before you propose anything, and you're honest about what a product can't do

Care about making AI systems safe and beneficial

Strong candidates may also have:

Experience selling security in one of the industries we cover, and an understanding of how security is bought and regulated there

Experience selling AI, developer or data platform products to technical buyers

Hands-on experience as a security practitioner or sales engineer before moving into sales

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: $380,000 - $450,000 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...