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Engineering Manager, Cybersecurity Products

$405k

anthropic

Engineering Manager, Cybersecurity ProductsSan Francisco, CA | New York City, NYAbout AnthropicAnthropic'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 RoleWe are hiring an Engineering Manager to lead a team of engineers building AI-powered cybersecurity products. The work spans research, product, and go-to-market.Your team will prototype and ship products that use frontier models to defend code and infrastructure. You will set technical direction, partner with research to turn new model capabilities into products, and stay close to customers so the team builds the right things, not just builds things well.This is a builder's role. The team is small, the pace is high, and you should expect to be in the code, in customer calls, and in research reviews the same week. You also need to scale the team without losing the prototyping energy that got the product here.ResponsibilitiesLead and grow the team: hiring, performance, and the culture that keeps strong engineers doing their best workStay close to customers, design partners, and the security community; turn what you learn into products and unblock the team on the ones that matterOwn architectural decisions across the full stack, from agentic systems and model orchestration to product surfaces, integrations, and data infrastructureCoordinate with GTM, partnerships, and other product areasGrow the next layer of leadership on the teamYou May Be a Good Fit If YouHave 8+ years of software engineering experience and 4+ years managing engineers, with ownership of a team's hiring, performance, and technical directionHave shipped cybersecurity products in production (SIEM, EDR, vulnerability management, application security, threat detection, incident response, or security automation)Have taken a team from prototype through first paying customers to scaled deploymentAre technical and hands-on: comfortable in design reviews and in the team's codeHave strong product instincts and a record of helping teams decide what to build, not just howCommunicate clearly across functions and keep research, product, GTM, and executive partners aligned through ambiguityTreat direct customer contact as a primary input to your roadmapCare deeply about Anthropic's mission and about developing AI responsibly and safelyStrong Candidates May Also Have Experience WithHands-on security expertise: application security, vulnerability research, reverse engineering, incident response, penetration testing, or detection engineeringBuilding products on LLMs, including agentic systems, evals, and prompt and model iteration loopsStrict data-handling environments (BYOC, CMEK, regulated industries, governments)Both startup and enterprise-scale company experienceWorking closely with research to translate capability into shipped productEcosystem partnerships and MCP, CI/CD, or source-control integrationsThe annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$405,000 - $485,000 USDLogisticsMinimum education: Bachelor's degree or an equivalent combination of education, training, and/or experienceRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experienceMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the positionLocation-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. 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 DifferentWe 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.

Vacancy posted 3 days ago
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