Used Tools & Technologies
Machine LearningRequired 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
Prioritization @ 3
API @ 3
Audit @ 3
Compliance @ 3
Claude Code @ 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. The Enterprise pillar makes Claude enterprise-ready at scale by building the foundational systems large organizations require before they can deploy AI broadly. This role sits at the intersection of enterprise product, platform infrastructure, and go-to-market; you will partner with product, design, sales, and customer success to translate large-customer requirements into scalable technical solutions that work across Claude.ai, Claude Code, and API.
Responsibilities
- Lead and develop a team of engineers building features and foundations to make Claude enterprise-ready at scale
- Own engineering execution end-to-end: planning, prioritization, delivery quality, team health, and incident response
- Partner with engineering teams across the company to ensure platforms are extensible and easy to adopt
- Partner with sales and customer success on enterprise deals: understand requirements, represent engineering in key conversations, and convert learnings into priorities
- Shape the roadmap with product and design
- Drive compliance and platform-readiness work required by customers, partnering with security and legal
- Recruit, onboard, and grow engineers; provide feedback and build a healthy, high-performing team
Minimum qualifications
- 4+ years of experience as an engineering manager, with experience in enterprise SaaS, cloud services, or admin tools
- Comfortable executing at a fast pace to meet customer expectations
- Detail-oriented and quality-focused; customers use Claude for critical workflows and the product must be robust and reliable
- Comfortable working with enterprise customers alongside sales and customer success and joining customer conversations
- Skilled engineering manager who treats management as a craft: clear feedback, strong 1:1s, and consistent investment in team growth
Preferred qualifications
- Experience with AI/ML products and understanding how enterprises evaluate and deploy AI tools
- Background with compliance frameworks for regulated industries (SOC2, HIPAA) and enterprise audit logging requirements
- Experience building integrations, permissions, billing, or pricing infrastructure
- Familiarity with data residency and sovereignty requirements across global regions
- Startup experience scaling enterprise platforms from early adoption to broad deployment
- Experience working with research to improve domain-specific model capabilities
Compensation
- Annual Salary: $405,000 - $485,000 USD
Logistics
- Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
- Location-based hybrid policy: staff expected to be in one of Anthropic's offices at least 25% of the time
- Visa sponsorship: Anthropic states they do sponsor visas and will make reasonable efforts to obtain a visa for an offered candidate
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Office space for collaboration
Products & technologies mentioned
- Claude.ai, Claude Code, API
- Compliance frameworks: SOC2, HIPAA
- Audit logging, integrations, permissions, billing/pricing infrastructure
- Data residency / data sovereignty