Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 6
Agentic Systems
CI/CD
Communication @ 6
Go @ 6
Hiring @ 4
LLM
Security @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic is hiring an Engineering Manager to lead a team building AI-powered cybersecurity products. The team will prototype and ship products that use frontier models to defend code and infrastructure, working across research, product, and go-to-market. The role involves setting technical direction, translating new model capabilities into products, staying close to customers, and scaling the team while preserving a strong prototyping culture.
Responsibilities
- Lead and grow the team, including hiring, performance management, and culture development.
- Stay close to customers, design partners, and the security community, using feedback to guide product development.
- Own architectural decisions across the full stack, including agentic systems, model orchestration, product surfaces, integrations, and data infrastructure.
- Coordinate with go-to-market, partnerships, and other product areas.
- Develop the next layer of leadership within the team.
- Participate in code, customer calls, design reviews, and research reviews.
Requirements
- 8+ years of software engineering experience and 4+ years managing engineers.
- Experience owning a team’s hiring, performance, and technical direction.
- Experience shipping cybersecurity products in production, such as SIEM, EDR, vulnerability management, application security, threat detection, incident response, or security automation products.
- Experience taking a team from prototype through first paying customers to scaled deployment.
- Strong technical and hands-on skills, including participation in design reviews and contribution to code.
- Strong product instincts and experience helping teams determine what to build.
- Clear communication skills across research, product, go-to-market, and executive functions.
- Commitment to responsible and safe AI development.
Preferred Experience
- Application security, vulnerability research, reverse engineering, incident response, penetration testing, or detection engineering.
- Building products on large language models, including agentic systems, evaluations, and prompt and model iteration loops.
- Working in strict data-handling environments, including BYOC, CMEK, regulated industries, or government environments.
- Experience in both startup and enterprise-scale companies.
- Translating research capabilities into shipped products.
- Ecosystem partnerships, MCP, CI/CD, or source-control integrations.
Education and 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.
- Staff are currently expected to work from one of Anthropic’s offices at least 25% of the time, although some roles may require more office time.
- Anthropic sponsors visas and makes reasonable efforts to support visa applications when an offer is made, although sponsorship is not guaranteed for every role or candidate.
Benefits
Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration.
More jobs at Anthropic
Staff+ Software Engineer, Platform Connectivity
Anthropic · London, United Kingdom, San Francisco, United States
USD 405,000-485,000 per year
Front End Engineer, Marketing
Anthropic · San Francisco, United States, New York City, United States
USD 300,000-320,000 per year
Applied AI Architect, Public Sector (National Security)
Anthropic · Washington, United States
USD 275,000-315,000 per year
Staff+ Software Engineer, Product Sandboxing
Anthropic · San Francisco, United States, New York City, United States, Seattle, United States
USD 405,000-485,000 per year
Software Engineering Manager, Network Security
Anthropic · San Francisco, United States, New York City, United States
USD 405,000-485,000 per year
Similar jobs
Staff+ Application Security Engineer - M&A
Anthropic · San Francisco, United States, New York City, United States, Seattle, United States
USD 320,000-485,000 per year
Security Controls Assurance Lead
Anthropic · Washington, United States, New York City, United States, San Francisco, United States
USD 270,000-345,000 per year
Member of Technical Staff (Offensive Security Engineer)
Perplexity AI · Serbia, New York City, United States, United States, San Francisco, United States, London, United Kingdom
USD 220,000-405,000 per year
Senior Manager, AI Software Engineering
SentinelOne · United States
USD 200,000-275,000 per year
Senior Security Engineer, AI Security
Reddit · United States
USD 190,800-267,100 per year
Senior AI Engineer
Grafana Labs · United States
USD 154,400-185,300 per year
Staff Product Security Engineer
Reddit · United States
USD 217,000-303,900 per year
Principal Software Engineer — Agentic AI Applications and Foundations
Nvidia · Santa Clara, United States
USD 272,000-431,200 per year