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Engineering Manager, Enterprise

405k – 485kSan Francisco, CANew York, NYEngineering ManagementHybrid4+ YOE
Summary

Lead and grow an engineering team building enterprise-grade features and infrastructure to make Claude ready for large-scale deployments at Fortune 500 companies. Partner with product, sales, and customer success to translate enterprise requirements into scalable technical solutions.

About the role

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

Requirements

  • 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 the expectations of our customers
  • Detail-oriented and quality-focused
  • Comfortable working with enterprise customers, working alongside sales and customer success and joining customer conversations
  • Skilled engineering manager who treats management as a craft—clear feedback, strong 1:1s, consistent investment in your team's growth
  • Bachelor's degree or an equivalent combination of education, training, and/or experience in a field relevant to the role

Nice-to-Haves

  • 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

Compensation & Benefits

  • Annual Salary: $405,000–$485,000 USD
  • Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours
Skills
Engineering ManagementEnterprise SaaSCloud ServicesComplianceSOC2HIPAAAI/ML ProductsIntegrationsPermissionsBilling Infrastructure
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