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 @ 4
API
Audit @ 4
Claude Code
Compliance @ 4
Engineering Management @ 7
Machine Learning
Security
- 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 seeking an engineering manager for its Enterprise pillar, responsible for making Claude enterprise-ready at scale. The role combines enterprise product development, platform infrastructure, compliance, and go-to-market collaboration across Claude.ai, Claude Code, and API.
Responsibilities
- Lead and develop a team of engineers building features and foundational systems for enterprise-scale Claude deployments.
- Own engineering execution, including planning, prioritization, delivery quality, team health, and incident response.
- Partner with engineering teams across the company to build extensible, easy-to-adopt platforms.
- Work with sales and customer success on enterprise requirements and customer conversations, translating insights into engineering priorities.
- Shape the roadmap with product and design.
- Drive compliance and platform-readiness initiatives in partnership with security and legal teams.
- Recruit, onboard, and develop engineers through direct feedback and ongoing investment in team growth.
Requirements
- 4+ years of experience as an engineering manager.
- Experience with enterprise SaaS, cloud services, or administrative tools.
- Ability to work at a fast pace while maintaining robust, reliable, high-quality products.
- Comfort working with enterprise customers and collaborating with sales and customer success.
- Strong engineering management skills, including clear feedback, effective one-on-ones, and supporting team development.
- Minimum education of a bachelor's degree or equivalent education, training, and/or experience in a relevant field.
Preferred Qualifications
- Experience with AI/ML products and enterprise AI evaluation and deployment.
- Experience with compliance frameworks such as SOC 2 and HIPAA, as well as enterprise audit logging.
- Experience building integrations, permissions, billing, or pricing infrastructure.
- Familiarity with data residency and data sovereignty requirements across global regions.
- Startup experience scaling enterprise platforms from early adoption to broad deployment.
- Experience working with research teams to improve domain-specific model capabilities.
Compensation
- Annual salary: $405,000–$485,000 USD.
Logistics
- Hybrid policy: Staff are expected to work from one of Anthropic's offices at least 25% of the time, with some roles requiring more office time.
- Anthropic sponsors visas and makes reasonable efforts to support visa applications, with assistance from an immigration lawyer.
- Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration spaces.
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