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Anthropic

Builds Claude AI models with a focus on safety

Staff 1 Application Security Engineer - Mergers and Acquisitions

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-time$320k - $485k /yr

About the Job

Requirements

  • Hands-on application and infrastructure security experience, including cloud and containerized environments.
  • 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, including finding and reasoning about real bugs in real systems.
  • Ability to operate with high autonomy, ambiguity, and tightly held confidential context.
  • Clear written and verbal communication across varied audiences, including executives, legal and corporate development partners, and engineering counterparts at an acquired company.
  • Bachelor’s degree or an equivalent combination of education, training, and/or experience; the field of study should be relevant to the role as demonstrated through coursework, training, or professional experience.

Responsibilities

  • Lead pre-close security due diligence on prospective acquisitions by coordinating external penetration testing, threat-modeling target architecture, assessing security controls, and delivering a security risk readout for leadership ahead of close and integration planning.
  • Drive post-close security integration by standing up static and dynamic analysis coverage on acquired codebases, tracking high- and critical-severity remediation to closure, folding acquired assets into bug bounty scope, and onboarding repositories to automated vulnerability remediation and reporting systems.
  • Coordinate supply chain, cloud, corporate security, and detection and response teams on their portions of each integration.
  • Work across corporate development, legal, security leadership, internal engineering teams inheriting acquired systems, and external engineering and security counterparts at target companies; translate between stakeholders and keep the security workstream clear to all of them.
  • Formalize and scale the M&A security playbook, including the risk-scoring model, diligence runbook, and integration checklist, and automate as much of the process as possible with Claude-powered tooling.
  • Share the team's operational on-run rotation, including bug bounty escalations, launch consultations, and incident response, swapping out during periods of active deal work.
  • Contribute to core application security projects between deals, including secure design reviews, threat modeling for agentic systems, and the team's security automation roadmap.
  • Apply internal LLM-driven code analysis and AI-assisted scanning to unfamiliar acquired repositories and turn the results into prioritized remediation plans.
  • Design a risk-scoring framework to compare security posture across acquisitions of different shapes and sizes.
  • Build automation to onboard acquired codebases to the vulnerability dashboard, dependency auto-patching, and bug bounty scope without manual checklist execution.
  • Write security risk memos for live deals and present them to corporate development and security leadership.

Desired Qualifications

  • Seven or more 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 static and dynamic application security testing, 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 large language models as a core part of a security workflow.
  • Experience securing agentic, code-execution, or LLM-integrated systems.

About the Company

Anthropic

Builds Claude AI models with a focus on safety

Anthropic builds the Claude family of AI models and sells them to businesses, software developers, and consumers, with research on making AI safe and understandable at the center of its work. In 2024 it introduced the Model Context Protocol, an open standard for connecting AI assistants to outside apps and data that OpenAI and Google adopted the next year. People use the Claude app to write and analyze files, programmers hand coding tasks to Claude Code, and companies build Claude into their own products through its API. Anthropic earns money from subscriptions, business plans, and usage-based API fees. Siblings Dario and Daniela Amodei founded Anthropic in 2021 with other former OpenAI employees, and it is based in San Francisco.

Company size
5,001-10,000
Company stage
N/A
Total funding
$243.8B
Headquarters
San Francisco, CA
Founded
2021

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