Staff+ Application Security Engineer - M&A

Anthropic; New York (NY); On-site; USD 320,000 - 485,000; Full time

Job summary

Anthropic, a leading AI safety company, seeks an AppSec-focused security professional to own due diligence for acquisitions, write risk readouts for leadership, and drive secure integration post-close. You will automate repeatable diligence tasks, work with engineers securing Anthropic’s systems, and collaborate with corporate development on high-impact security initiatives.

You’ll contribute to design reviews, threat modeling for agentic AI, and the security automation roadmap, while

Qualifications

• Hands-on app and infrastructure security experience, including cloud and containerized environments.
• Ability to rapidly assess unfamiliar codebases and produce clear risk assessments for non-security audiences.
• Production-quality coding in Python, Go, Rust, or TypeScript.
• Threat-modeling and vulnerability-identification skills.
• High autonomy with confidential context.
• Clear written and verbal communication across executives, legal, and engineering teams.

Responsibilities

• Lead pre-close security due diligence on acquisitions — coordinate external testing, threat-model architecture, assess controls, deliver risk readout.
• Drive post-close security integration — static/dynamic analysis, remediation tracking, onboarding to vulnerability remediation systems.
• Coordinate adjacent security engineering teams on integration.
• Communicate across stakeholders to keep security workstream legible.
• Formalize and scale M&A security playbook and tooling, aiming for Claude-powered automation.
• Share operational rotation for bug bounty escalations and incident response.
• Contribute to core AppSec projects — design reviews, threat modeling for agentic systems, security automation roadmap.

Skills

AppSec experience

Codebase assessment

Coding skills

Threat modeling

Autonomy under confidentiality

Stakeholder communication

Education

Bachelor’s degree

Tools

SAST/DAST tooling

Bug bounty programs

Vulnerability dashboard

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 Application Security team secures the systems that build, serve, and increasingly are Claude — and as Anthropic's footprint grows, that mandate now extends to companies and codebases we bring in from outside. This role establishes that function. You'll own security due diligence and secure integration for Anthropic's acquisitions — assessing a target's security posture pre-close, writing the security risk readout for leadership, and after close, bringing acquired systems up to Anthropic's bar. Security has been part of every deal to date, but this is the first dedicated role for it: you'll formalize the playbook, the risk model, and the tooling, and make them repeatable.

This is an AppSec role first. You'll be an active member of the Application Security team — same rituals, same on-run rotation, same tooling, working alongside engineers securing Anthropic's own agentic product surfaces. The expectation is the same too: we use Claude as our primary tool, and you're expected to automate the repeatable parts of diligence and integration as you go, so each acquisition is easier than the last. When deal flow is quiet, you'll pick up core AppSec project work; when it's active, M&A is your priority.

We're upfront that the center of gravity here is M&A rather than core product security. It's burstier, more assessment-heavy, and operates on confidential, time-sensitive work. If you like parachuting into an unfamiliar codebase under time pressure and turning it into a clear risk picture for leadership, this is that job.

Key responsibilities

• Lead pre-close security due diligence on prospective acquisitions — coordinate external penetration testing, threat-model the target's architecture, assess security controls, and deliver the security risk readout for leadership ahead of close and integration planning
• Drive post-close security integration — stand up static and dynamic analysis coverage on acquired codebases, track high- and critical-severity remediation to closure, fold acquired assets into bug bounty scope, and onboard repositories to Anthropic's automated vulnerability remediation and reporting systems
• Coordinate adjacent security engineering teams (supply chain, cloud, corporate security, detection & response) on their portions of each integration
• Work across a wide set of stakeholders on every deal — corporate development, legal, security leadership, and the engineering teams inheriting acquired systems internally; engineering and security counterparts at the target company externally — translating between them and keeping the security workstream legible to all of them
• Formalize and scale Anthropic's M&A security playbook — risk‑scoring model, diligence runbook, integration checklist — and turn as much of it as possible into Claude‑powered tooling rather than manual process
• Share the team's operational on-run rotation (bug bounty escalations, launch consults, incident response), swapping out during periods of active deal work
• Contribute to core AppSec projects between deals — secure design reviews, threat modeling for agentic systems, and the team's security automation roadmap

Minimum Qualifications

• Hands‑on application and infrastructure security experience, including cloud and containerized environments
• Demonstrated ability to rapidly assess an unfamiliar codebase or architecture and produce a clear, prioritized risk assessment for a non-security audience
• Production‑quality coding ability in at least one of Python, Go, Rust, or TypeScript
• Practical threat‑modeling and vulnerability‑identification skills — you've found and reasoned about real bugs in real systems
• Comfort operating with high autonomy, ambiguity, and tightly‑held confidential context
• Clear written and verbal communication across varied audiences — executives, legal and corporate development partners, and engineering counterparts at an acquired company

Preferred Qualifications

• 7+ years in application security, security consulting, or security architecture
• Prior M&A security due diligence, third‑party security assessment, or technical due diligence experience
• Experience standing up or scaling SAST/DAST, bug bounty, or vulnerability management coverage across multiple codebases
• Track record of building security automation or tooling rather than relying solely on manual review
• Familiarity with using LLMs as a core part of your security workflow
• Experience securing agentic, code‑execution, or LLM‑integrated systems

Representative projects

• Point Anthropic's internal LLM‑driven code analysis and AI‑assisted scanning at an acquired repository nobody here has seen, and turn the output into a prioritized remediation plan in days rather than weeks
• Design the risk‑scoring framework Anthropic uses to compare security posture across acquisitions of different shapes and sizes
• Build the automation that onboards an acquired codebase to Anthropic's vulnerability dashboard, dependency auto‑patching, and bounty scope without a human running a checklist
• Write the security risk memo for a live deal and present it to corporate development and security leadership

Annual Salary

$320,000—$485,000 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.

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.

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.