Job description

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 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 Applied AI team helps the world’s largest organizations put Claude to work. As a Cybersecurity Specialist on Applied AI, you’ll be part of an overlay team of domain experts who sit alongside our enterprise account teams and bring deep security expertise to the accounts where it matters most. You won’t own an account. You’ll be the security expert the account team pulls in to win and grow the most important security conversations: helping CISOs and security leaders see where Claude can take on real security work, then guiding them from early pilots to durable, production workloads. You’ll cover a portfolio of enterprise accounts across regulated industries like financial services, insurance, and healthcare, strategic accounts like semiconductors (IP protection, industrial control systems, export controls), and digital natives and public sector agencies, each with its own threat model. How this team works You partner with account executives, account architects, and generalist Applied AI engineers, who own the customer relationship and the broader technical engagement. You bring the security depth they don’t have time to build. You work across many accounts at once, so the playbooks, reference implementations, and evaluation approaches you build are reused across the field, not just for one customer. You are the connection point between the field and Anthropic’s Product, Research, and Engineering teams, turning what you see in customer security programs into product feedback. You work alongside ISVs, systems integrators, and managed security providers who already serve these customers, enabling them where they own the engagement rather than competing with them. Responsibilities Join account teams to understand a customer’s security program, identify where Claude can do meaningful security work, and turn that into a technical plan and business case Serve as the security-domain technical advisor on strategic enterprise accounts, from discovery through deployment Move customers from one-time code scanning to sustained security workloads: application security in the SDLC, continuous automated penetration testing, alert triage and investigation, and threat intelligence that answers “does this new vulnerability affect us, and where” Build and maintain reference implementations, harnesses, and evaluation approaches, and help customers adapt them to their own environments and controls Run workshops and hands-on sessions where customer security teams use Claude on their own code and workflows Equip partners to deliver Claude-powered security outcomes, with a clear line between what Anthropic delivers and what partners deliver Speak credibly to every audience, from appsec engineers to CISOs and executives, including how to explain the value and risk of security work in business terms Define and track adoption depth for each security workload across your accounts, and work with Product and Engineering on the telemetry to measure it Write the playbooks and best practices the rest of the field can reuse, including how Claude complements the security tooling customers already own Develop reference customers who can speak to the value they’re realizing Stay current on frontier LLM capabilities and the new classes of vulnerabilities and attacks they surface Travel occasionally to customer sites for workshops and technical deep dives You may be a good fit if you have 5+ years in security roles, with hands-on depth in at least two of: application security and secure SDLC, offensive security and penetration testing, detection and response, or threat intelligence and vulnerability management Experience in a technical customer-facing role (Solutions Architect, Sales Engineer, security consultant, TAM), or on a security team where you had to win investment from leadership Experience with large enterprise customers and complex, multi-stakeholder buying cycles, including working alongside the vendors and partners already in the account The ability to translate between security teams, engineering teams, and executives Comfort with Python, CI/CD, and cloud environments, plus hands-on experience using LLMs for security work such as code review, vulnerability discovery, triage, or investigation A love of teaching and a collaborative approach to working across teams and balancing competing priorities 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: $300,000 — $400,000 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. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Requirements

Must-haves

How this team works
You work across many accounts at once, so the playbooks, reference implementations, and evaluation approaches you build are reused across the field, not just for one customer.
You are the connection point between the field and Anthropic’s Product, Research, and Engineering teams, turning what you see in customer security programs into product feedback.
You work alongside ISVs, systems integrators, and managed security providers who already serve these customers, enabling them where they own the engagement rather than competing with them.
Join account teams to understand a customer’s security program, identify where Claude can do meaningful security work, and turn that into a technical plan and business case
Serve as the security-domain technical advisor on strategic enterprise accounts, from discovery through deployment
Build and maintain reference implementations, harnesses, and evaluation approaches, and help customers adapt them to their own environments and controls
Run workshops and hands-on sessions where customer security teams use Claude on their own code and workflows
Equip partners to deliver Claude-powered security outcomes, with a clear line between what Anthropic delivers and what partners deliver
Speak credibly to every audience, from appsec engineers to CISOs and executives, including how to explain the value and risk of security work in business terms
Define and track adoption depth for each security workload across your accounts, and work with Product and Engineering on the telemetry to measure it
Write the playbooks and best practices the rest of the field can reuse, including how Claude complements the security tooling customers already own
Develop reference customers who can speak to the value they’re realizing
Stay current on frontier LLM capabilities and the new classes of vulnerabilities and attacks they surface
Travel occasionally to customer sites for workshops and technical deep dives
You may be a good fit if you have
Experience in a technical customer-facing role (Solutions Architect, Sales Engineer, security consultant, TAM), or on a security team where you had to win investment from leadership
Experience with large enterprise customers and complex, multi-stakeholder buying cycles, including working alongside the vendors and partners already in the account
The ability to translate between security teams, engineering teams, and executives
Comfort with Python, CI/CD, and cloud environments, plus hands-on experience using LLMs for security work such as code review, vulnerability discovery, triage, or investigation
A love of teaching and a collaborative approach to working across teams and balancing competing priorities
The annual compensation range for this role is listed below.
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

airestllmpythonci/cd

Platform: greenhouse
Effort: quick

Benefits

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