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.

Responsibilities: 

Technical Leadership & Hands-on Engineering

• Own the security architecture, tooling, and controls for Anthropic’s corporate environment end-to-end, including endpoint fleets (macOS, Windows, ChromeOS), campus and office networks, SaaS applications, mobile devices
• Design, build, and ship security automation, integrations, and internal tooling—including leveraging Claude and LLMs to accelerate security workflows
• Define and enforce security baselines, hardening standards, and configuration policies across all corporate platforms
• Define what it means to operate safely in an environment where AI agents act more like humans than actual humans
• Evaluate, select, deploy, and operate corporate security tools (EDR/XDR, MDM, ZTNA, CASB/SSPM, email security, DLP, browser security, etc.)
• Drive vulnerability management for corporate assets, including patch orchestration, risk-based prioritization, and exception management
• Lead security reviews of new SaaS adoptions, corporate infrastructure changes, and IT projects

People Leadership & Team Building

• Manage, mentor, and grow a purposefully lean team of Security Engineers; set clear expectations, run effective 1:1s, and create an environment where engineers do the best work of their careers
• Hire and build the team as scope expands—own the hiring bar and pipeline for Corporate Security Engineering roles
• Balance your own IC contributions with the team’s needs; know when to go deep on a problem yourself and when to delegate and coach
• Foster a culture of operational excellence, blameless incident review, and continuous improvement

Strategy & Cross-Functional Partnership

• Define and own the Corporate Security roadmap, aligning investments to Anthropic’s risk profile and growth trajectory
• Partner with IT Operations to ensure security is embedded in endpoint provisioning, network design, and SaaS lifecycle management
• Collaborate with Detection & Response on telemetry coverage, detection engineering, and incident handling for corporate-sourced events
• Partner with Infrastructure and Security Engineering teams to ensure security standards are consistent across all of Anthropic
• Communicate security posture, risks, and investment needs to Security leadership and cross-functional stakeholders clearly and persuasively

You may be a good fit if you:

• Have 8+ years of Security Engineering experience in a corporate/enterprise security domain (endpoint security, network security, SaaS security, identity, or a combination)
• Have 2+ years of experience managing or tech-leading a team of engineers, with a demonstrated track record of developing talent and shipping results through others
• Are a strong engineer who still writes code regularly—you can prototype a tool, write a detection, build an integration, or debug a complex configuration issue
• Have deep experience with macOS fleet security (this is our primary platform) and solid working knowledge of Windows and ChromeOS security
• Have hands-on experience deploying and operating EDR/XDR, MDM, ZTNA/zero trust, and identity security solutions at scale
• Understand modern SaaS security challenges: shadow IT, OAuth token sprawl, data exfiltration paths, SaaS-to-SaaS integrations, and SSPM/CASB tooling
• Can work independently with high autonomy, manage ambiguity, and make sound risk-based prioritization decisions in a fast-paced environment
• Have excellent communication skills and can translate complex security topics into clear recommendations for technical and non-technical audiences

Strong candidates may have:

• Securing corporate environments at high-growth AI, cloud, or developer-tools companies 
• Maturing a Corporate Security function from early stage, including defining scope, selecting the initial toolset, and hiring the founding team
• Advanced macOS security (system extensions, endpoint security framework, MDM profile engineering, Declarative Device Management)
• Network security architecture for hybrid/multi-office environments, including SD-WAN, ZTNA, DNS security, and network segmentation
• Browser security and isolation technologies (e.g., 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.

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

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