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 @ 3
Communication @ 6
Hiring @ 3
Machine Learning
People Management @ 3
Security @ 6
- 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 its Agent Security Partnerships team. The team works with teams building Claude and agents to threat-model plans, develop security controls, and safely expand what agents can do. This is primarily a people leadership role focused on managing security engineering teams and reasoning about security risks in a frontier AI environment.
Responsibilities
- Hire, mentor, and grow senior and staff security engineers.
- Set the team's investment strategy, including deciding which teams receive embedded engineers and for how long.
- Support high-stakes safety and security decisions under uncertainty and tight timelines.
- Balance long-term investment in shared controls with partner teams' immediate needs.
- Deliver large security migrations across Anthropic.
- Work through difficult trade-offs with partner teams while building trust and understanding.
- Lead security partnerships with product, infrastructure, research, and other teams.
Representative Projects
- Inventing and rolling out a classifier-based control for agents.
- Co-building a sandbox with a product team and prioritizing enforcement to support adoption.
- Defining company-wide security standards for running agents and partnering with teams to meet them.
Requirements
- Excellent people management skills, including hiring, developing, and managing senior and staff engineers and growing engineers into staff or lead roles.
- Deep security management experience, including managing security engineering teams and communicating risk and trade-offs to executives.
- Strong written and oral communication skills, with the ability to explain complex trade-offs clearly to executives and engineers.
- Resilience, emotional awareness, low ego, and high empathy.
- Experience leading large migrations and highly cross-functional initiatives.
- Willingness to dive into technical details, make decisions amid ambiguity, and stand behind those decisions.
- Bachelor's degree or an equivalent combination of education, training, and experience in a relevant field.
Preferred Qualifications
- Experience embedding security engineers with product, infrastructure, or research teams, or running a security partnerships team.
- Experience with agent security or AI/ML security.
- Familiarity with AI safety concepts and research.
- Experience leading in a hypergrowth environment.
Compensation
- Annual salary: $405,000–$485,000 USD
Work Policy and Logistics
- Hybrid policy: Staff are expected to work from an Anthropic office at least 25% of the time, with some roles requiring more office time.
- Anthropic explicitly states that it sponsors visas, although sponsorship cannot be guaranteed for every role or candidate.
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