Engineering Manager, Cybersecurity Products

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 We 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. Responsibilities - Lead and grow the team: hiring, performance, and the culture that keeps strong engineers doing their best work - Stay close to customers, design partners, and the security community; turn what you learn into products and unblock the team on the ones that matter - Own architectural decisions across the full stack, from agentic systems and model orchestration to product surfaces, integrations, and data infrastructure - Coordinate with GTM, partnerships, and other product areas - Grow the next layer of leadership on the team You may be a good fit if you - Have 8+ years of software engineering experience and 4+ years managing engineers, with ownership of a team's hiring, performance, and technical direction - Have 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 deployment - Are technical and hands-on: comfortable in design reviews and in the team's code - Have strong product instincts and a record of helping teams decide what to build, not just how - Communicate clearly across functions and keep research, product, GTM, and executive partners aligned through ambiguity - Treat direct customer contact as a primary input to your roadmap - Care deeply about Anthropic's mission and about developing AI responsibly and safely Strong candidates may also have experience with - Hands-on security expertise: application security, vulnerability research, reverse engineering, incident response, penetration testing, or detection engineering - Building products on LLMs, including agentic systems, evals, and prompt and model iteration loops - Strict data-handling environments (BYOC, CMEK, regulated industries, governments) - Both startup and enterprise-scale company experience - Working closely with research to translate capability into shipped product - Ecosystem partnerships and MCP, CI/CD, or source-control integrations The 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 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. 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. 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. Your safety matters to us

Lead and grow the team: hiring, performance, and the culture that keeps strong engineers doing their best work. Stay close to customers, design partners, and the security community; turn what you learn into products and unblock the team on the ones that matter. Own architectural decisions across the full stack, from agentic systems and model orchestration to product surfaces, integrations, and data infrastructure. Coordinate with GTM, partnerships, and other product areas. Grow the next layer of leadership on the team.