Engineering Manager, Cybersecurity Products

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.

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

Requirements

• 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
• Be 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
• Care deeply about Anthropic's mission and about developing AI responsibly and safely

Qualifications

• 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

Pay

The annual compensation range for this role is $405,000—$485,000 USD.

Benefits

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.

How We're Different

We 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!

Guidance on Candidates' AI Usage

Learn about our policy for using AI in our application process.