Security Engineer Lead, Corporate Security

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: We’re looking for a Security Engineering Lead to own and drive Anthropic’s Corporate Security program. This is a player-coach Tech Lead Manager (TLM) role: you’ll be both the most senior technical individual contributor on corporate security and the people leader for a lean, high-impact team of Security Engineers.

You will set the technical direction, write code and ship tooling alongside your team, and build the culture and processes that allow the team to scale. Corporate Security at Anthropic encompasses everything that protects our people, endpoints, networks, SaaS ecosystem, and corporate data—the full surface area outside of production infrastructure.

The scope is broad and the team is deliberately small, which means you’ll need deep technical skills across multiple domains, strong judgment about where to invest, and a bias toward automation and engineering-driven solutions over manual process. You’ll report into Security leadership and partner closely with IT, Infrastructure Security, Detection & Response, and GRC teams.

This role is high-visibility and high-autonomy: you’ll be expected to define the roadmap, make architectural decisions, and represent Corporate Security across the company.

, Island, Talon/Palo Alto, Chrome Enterprise) Proficiency in Python, Go, or similar languages for building security tooling and automation Experience leveraging LLMs/AI to augment security operations, build investigative tooling, or automate policy enforcement Familiarity with IaC (Terraform), CI/CD pipelines, and DevSecOps practices as they apply to corporate infrastructure management Mobile security for iOS/Android in a BYOD and corporate-managed device environment Data Loss Prevention (DLP) program design and implementation across endpoints, email, SaaS, and cloud storage Deadline to apply: None.

Applications will be received on a rolling basis. 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. 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. 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