Engineering Manager, Cybersecurity Products

Anthropic•San Francisco, NY

5d•Hybrid

About The Position

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.

Requirements

8+ years of software engineering experience
4+ years managing engineers, with ownership of a team's hiring, performance, and technical direction
Shipped cybersecurity products in production (SIEM, EDR, vulnerability management, application security, threat detection, incident response, or security automation)
Taken a team from prototype through first paying customers to scaled enterprise deployment
Technical and hands-on: comfortable in design reviews and in the team's code
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

Nice To Haves

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

Responsibilities

Lead and grow the team: hiring, performance, and the culture that keeps strong engineers doing their best work
Set technical direction and sequence the roadmap across prototyping, enterprise hardening, and platform investments, with PM and PMM
Partner with research to identify model capabilities worth productizing, and give research clear signal on the capability gaps blocking customer value
Stay close to customers, design partners, and the security community; turn what you learn into product bets and unblock the team on the ones that matter
Make architectural calls across agentic scanning pipelines, model orchestration, customer-facing surfaces, CI and source-control integrations, and the data infrastructure underneath
Raise velocity by removing bottlenecks and sharpening operating rhythms, while holding the bar on quality, security, and reliability
Coordinate with GTM, partnerships, and other product areas to land joint launches and ecosystem integrations
Grow the next layer of leadership on the team so it can take on more as the charter expands