Description
Anthropic's mission is to create reliable, interpretable, and steerable AI systems.
We're looking for an engineering manager for our Enterprise pillar,the team that makes Claude enterprise-ready at scale.
You'll build the foundational systems that large organizations require before they can deploy AI at scale.
Responsibilities
- Lead and develop a team of engineers building out features and foundations that 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 throughout the company to ensure that the platforms we build are extensible and easy to adopt
- Partner with sales and customer success on enterprise deals,understanding requirements, representing engineering in key conversations, and turning what you learn into priorities
- Shape the roadmap with product and design, not just execute against it
- Drive the compliance and platform-readiness work your customers require, partnering with security and legal
- Recruit, onboard, and grow strong engineers; give direct feedback and build a healthy, high-performing team
Minimum qualifications
- 4+ years of experience as an engineering manager, with experience building enterprise SaaS platforms or admin tools
- Are comfortable executing at a fast pace to meet the expectations of our customers
- Are detail-oriented and quality-focused - our customers are using Claude for critical workflows and our product needs to stay robust and reliable
- Are comfortable working with enterprise customers, working alongside sales and customer success and joining customer conversations
- Are a skilled engineering manager who treats management as a craft,clear feedback, strong 1:1s, consistent investment in your team's 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, particularly in scaling enterprise platforms from early adoption to broad deployment
- Experience in working with research to improve domain specific model capabilities
The annual compensation range for this role is $405,000-$485,000 USD.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/anthropic/jobs/5255912008