Used Tools & Technologies
LLMRequired Skills & Competences
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.
Security @ 3
Go @ 3
CI/CD @ 3
Hiring @ 3
Leadership @ 3
AI @ 3
- 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’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. The team is a quickly growing group of researchers, engineers, policy experts, and business leaders building 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. The team prototypes and ships products that use frontier models to defend code and infrastructure. The manager 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. This is a hands-on builder role: expect to work in code, join customer calls, and participate in research reviews while scaling the team.
Responsibilities
- Lead and grow the team: hiring, performance, and culture
- Stay close to customers, design partners, and the security community; turn learnings into product decisions
- Own architectural decisions across the full stack: agentic systems, model orchestration, product surfaces, integrations, and data infrastructure
- Coordinate with go-to-market (GTM), partnerships, and other product areas
- Grow the next layer of leadership on the team
Requirements / Qualifications
- 8+ years of software engineering experience and 4+ years managing engineers, with ownership of a team's hiring, performance, and technical direction
- Experience shipping cybersecurity products in production (examples listed: SIEM, EDR, vulnerability management, application security, threat detection, incident response, security automation)
- Experience taking a team from prototype through first paying customers to scaled deployment
- Technical and hands-on: comfortable in design reviews and in the team's code
- Strong product instincts and experience helping teams decide what to build
- Clear communicator across functions; able to align research, product, GTM, and executive partners through ambiguity
- Treat direct customer contact as a primary input to the roadmap
- Commitment to developing AI responsibly and safely
Strong candidate (nice-to-have) experience
- 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/model iteration loops
- Experience with strict data-handling environments (BYOC, CMEK, regulated industries, governments)
- Experience at both startup and enterprise scale
- Working closely with research to translate capability into shipped product
- Ecosystem partnerships and MCP, CI/CD, or source-control integrations
Compensation
Annual Salary: $405,000 - $485,000 USD
Logistics
- Minimum education: Bachelor’s degree or equivalent combination of education/training/experience
- Location-based hybrid policy: staff expected to be in one of the offices at least 25% of the time
- Visa sponsorship: Anthropic states they do sponsor visas and retain an immigration lawyer to assist (subject to role/candidate eligibility)
About Anthropic / Culture
Anthropic is a public benefit corporation headquartered in San Francisco. The company emphasizes collaborative, high-impact AI research, frequent research discussions, and work on a few large-scale research efforts. Benefits mentioned include competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office spaces.