About Us
\nAt Cloudflare, we are on a mission to help build a better Internet. We run one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.
\nCloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.
\nAbout the Team
\nCloudforce One is Cloudflare's threat operations and research team, responsible for identifying and disrupting cyber threats ranging from sophisticated cyber criminal activity to nation-state advanced persistent threats (APTs).
\nAbout the Role
\nWe are seeking a talented Senior Manager, Incident Response to join us in growing our Cloudforce One organization, where you will be instrumental in building a proactive and threat intelligence-driven approach to protecting Cloudflare and its customers from sophisticated and evolving threat actors.
\nResponsibilities
\nAs a REACT Consultant, you will respond to customer security incidents in on-premises and cloud environments. You will detect and disrupt cyber threat activity across customer networks and cloud environments. You will engage with customers at all levels including Executive, VP, Director, and managerial levels. You will serve an integral role in the discovery and analysis of cyber threat intrusions, working alongside forensic analysts, threat researchers, detection engineers, and malware analysts to detect and mitigate malicious activity.
\nThe findings you uncover will help identify Tactics, Techniques, and Procedures (TTPs) of ongoing threat activity to protect your customer and the greater Cloudflare customer base.
\nRequirements
\nOur ideal candidate will have 1-2 years of previous experience in cybersecurity with at least 1+ years in Digital Forensics or Incident Response. Candidates will have experience with hands-on forensic analysis in a Windows, Mac, and Linux environment. Ideally, this candidate will have experience triaging malware using static or dynamic analysis on Windows, macOS, or UNIX-based platforms.
\nYou will be responsible correlating threat actor activity across the customers environment. Outstanding candidates will possess excellent verbal and written communication skills. You will also have experience with incident response reports and reliably be able to write simple scripts in Python or Golang.
\nExamples of desirable skills, knowledge and experience include:
\nBonus Points:
\nTravel requirements
\nAbility to travel up to 20% of the time
\nPosition may require foreign and domestic travel, passport will be required
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\nAnthropic'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.
\nAbout the Role
\nWe are looking for a Threat Collections Engineer to join our Threat Intelligence team. In this role, you will build the infrastructure that powers our threat discovery capabilities—integrating external data sources, developing detection systems for automated lead generation, and creating internal tooling that scales our investigators' impact.
\nThis is a foundational engineering role on a small, high-impact team. You will take projects from proof-of-concept to production, work closely with investigators to understand their needs, and help scale what may become a multi-person collections function.
\nResponsibilities:
\nYou may be a good fit if you:
\nStrong candidates may also have:
\nDeadline to apply:
\nNone. Applications will be reviewed on a rolling basis.
\nLogistics
\nEducation 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.
\nVisa 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.
\nWe 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.
\nYour 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.
\nHow we're different
\nWe 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 as it does with computer science.
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