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<source>
  <jobs>
    <job>
      <externalid>62900fcd-562</externalid>
      <Title>Security Engineer - Offensive Security</Title>
      <Description><![CDATA[<p>As an Offensive Security Engineer on the Proactive Threat team at Stripe, you will simulate the tactics, techniques, and procedures (TTPs) of real-world adversaries to uncover security risks across Stripe&#39;s products and infrastructure.</p>
<p>You&#39;ll conduct hands-on penetration testing, lead red team engagements, and collaborate with blue team counterparts to validate and improve detection and response capabilities. Your work will directly influence how Stripe builds, ships, and secures financial infrastructure used by millions of businesses worldwide.</p>
<p>Responsibilities:</p>
<p>Conduct comprehensive penetration tests across web applications, APIs, cloud environments (AWS/GCP/Azure), mobile applications, and internal infrastructure.</p>
<p>Plan and execute red team engagements that emulate the TTPs of cyber and criminal threat actors targeting financial services, including initial access, lateral movement, persistence, and data exfiltration scenarios.</p>
<p>Perform assumed-breach and objective-based assessments to test detection and response capabilities in coordination with defensive teams.</p>
<p>Partner with detection engineering, threat intelligence, and incident response teams to validate security controls, identify coverage gaps, and improve detection fidelity.</p>
<p>Contribute adversary tradecraft insights to inform detection rule development, threat hunting hypotheses, and incident response playbooks.</p>
<p>Support incident investigations by providing offensive expertise, log analysis, and root cause analysis when required.</p>
<p>Design, develop, and maintain custom offensive tools, scripts, and automation frameworks to enhance assessment efficiency and coverage.</p>
<p>Build internal platforms and workflows that enable scalable, repeatable offensive operations.</p>
<p>Contribute to internal security tooling repositories and champion engineering best practices within the team.</p>
<p>Automate repetitive testing tasks, payload generation, and reporting workflows using modern development practices.</p>
<p>Produce clear, actionable reports that communicate technical findings, business risk, and remediation guidance to both technical and non-technical stakeholders.</p>
<p>Act as a subject-matter expert and primary point of contact for stakeholder teams engaged in offensive security programs and Stripe-wide security initiatives.</p>
<p>Lead offensive security projects end-to-end, mentor junior team members, and foster a culture of continuous learning and knowledge sharing.</p>
<p>Stay current with emerging threats, vulnerabilities, and attack techniques; share research internally and contribute to the broader security community.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Python, Go, Web application security, Cloud platforms (AWS, Azure, or GCP), Offensive tooling (Burp Suite, Cobalt Strike, Mythic, Sliver, BloodHound), Adversary tradecraft and frameworks (MITRE ATT&amp;CK), Excellent written and verbal communication skills, Experience conducting offensive security in fintech, financial services, or other highly regulated environments, Background in vulnerability research, exploit development, or CVE discovery, Experience collaborating with threat intelligence, detection engineering, or incident response teams (purple team operations), Familiarity with big data and log analysis tools (Splunk, Databricks, PySpark, osquery, etc.) for threat hunting or investigative support, Proficiency with AI/LLM-assisted development tools (e.g., Claude Code, Cursor, GitHub Copilot) and experience applying them to offensive security workflows</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Stripe</Employername>
      <Employerlogo>https://logos.yubhub.co/stripe.com.png</Employerlogo>
      <Employerdescription>Stripe is a financial infrastructure platform for businesses. It has a large user base, with millions of companies using its services.</Employerdescription>
      <Employerwebsite>https://stripe.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/stripe/jobs/7820898</Applyto>
      <Location>Ireland</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>ef01837a-5e3</externalid>
      <Title>Anthropic Fellows Program — AI Security</Title>
      <Description><![CDATA[<p><strong>About the Role</strong></p>
<p>The Anthropic Fellows Program is a 4-month, full-time research opportunity for individuals to work on empirical AI research and engineering projects. As an AI Security Fellow, you will be part of a team that focuses on reducing catastrophic risks from advanced AI systems.</p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Conduct empirical AI research and engineering projects aligned with Anthropic&#39;s research priorities</li>
<li>Collaborate with mentors and peers to achieve project goals</li>
<li>Present research findings and results to the team and wider community</li>
</ul>
<p><strong>Requirements</strong></p>
<ul>
<li>Fluency in Python programming</li>
<li>Strong technical background in computer science, mathematics, or physics</li>
<li>Ability to implement ideas quickly and communicate clearly</li>
</ul>
<p><strong>Nice to Have</strong></p>
<ul>
<li>Experience with pentesting, vulnerability research, or other offensive security work</li>
<li>Experience with empirical ML research projects</li>
<li>Experience with deep learning frameworks and experiment management</li>
</ul>
<p><strong>Logistics</strong></p>
<ul>
<li>To participate in the Fellows program, you must have work authorization in the UK and be located in the UK during the program</li>
<li>Workspace locations: London and Berkeley</li>
<li>Visa sponsorship: Not currently available</li>
</ul>
<p><strong>Application Process</strong></p>
<p>Applications and interviews are managed by Constellation, our official recruiting partner for this program. Clicking &#39;Apply here&#39; will redirect you to Constellation&#39;s application portal.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>entry|mid|senior|staff|executive</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>$3,850 USD / £2,310 / $4,300 CAD per week</Salaryrange>
      <Skills>Python, Computer Science, Mathematics, Physics, Pentesting, Vulnerability Research, Offensive Security Work, Empirical ML Research Projects, Deep Learning Frameworks, Experiment Management</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anthropic</Employername>
      <Employerlogo>https://logos.yubhub.co/anthropic.com.png</Employerlogo>
      <Employerdescription>Anthropic is a technology company focused on creating reliable, interpretable, and steerable AI systems.</Employerdescription>
      <Employerwebsite>https://anthropic.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/anthropic/jobs/5030244008</Applyto>
      <Location>London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
  </jobs>
</source>